National Library of Energy BETA

Sample records for most-used personal computer

  1. Personal Computer Inventory System

    Energy Science and Technology Software Center (OSTI)

    1993-10-04

    PCIS is a database software system that is used to maintain a personal computer hardware and software inventory, track transfers of hardware and software, and provide reports.

  2. Personal Computing Equipment | Open Energy Information

    Open Energy Info (EERE)

    Computing Equipment Jump to: navigation, search TODO: Add description List of Personal Computing Equipment Incentives Retrieved from "http:en.openei.orgwindex.php?titlePersona...

  3. Semiconductor Device Analysis on Personal Computers

    Energy Science and Technology Software Center (OSTI)

    1993-02-08

    PC-1D models the internal operation of bipolar semiconductor devices by solving for the concentrations and quasi-one-dimensional flow of electrons and holes resulting from either electrical or optical excitation. PC-1D uses the same detailed physical models incorporated in mainframe computer programs, yet runs efficiently on personal computers. PC-1D was originally developed with DOE funding to analyze solar cells. That continues to be its primary mode of usage, with registered copies in regular use at more thanmore » 100 locations worldwide. The program has been successfully applied to the analysis of silicon, gallium-arsenide, and indium-phosphide solar cells. The program is also suitable for modeling bipolar transistors and diodes, including heterojunction devices. Its easy-to-use graphical interface makes it useful as a teaching tool as well.« less

  4. Human-computer interface incorporating personal and application domains

    DOE Patents [OSTI]

    Anderson, Thomas G.

    2004-04-20

    The present invention provides a human-computer interface. The interface includes provision of an application domain, for example corresponding to a three-dimensional application. The user is allowed to navigate and interact with the application domain. The interface also includes a personal domain, offering the user controls and interaction distinct from the application domain. The separation into two domains allows the most suitable interface methods in each: for example, three-dimensional navigation in the application domain, and two- or three-dimensional controls in the personal domain. Transitions between the application domain and the personal domain are under control of the user, and the transition method is substantially independent of the navigation in the application domain. For example, the user can fly through a three-dimensional application domain, and always move to the personal domain by moving a cursor near one extreme of the display.

  5. Human-computer interface incorporating personal and application domains

    DOE Patents [OSTI]

    Anderson, Thomas G.

    2011-03-29

    The present invention provides a human-computer interface. The interface includes provision of an application domain, for example corresponding to a three-dimensional application. The user is allowed to navigate and interact with the application domain. The interface also includes a personal domain, offering the user controls and interaction distinct from the application domain. The separation into two domains allows the most suitable interface methods in each: for example, three-dimensional navigation in the application domain, and two- or three-dimensional controls in the personal domain. Transitions between the application domain and the personal domain are under control of the user, and the transition method is substantially independent of the navigation in the application domain. For example, the user can fly through a three-dimensional application domain, and always move to the personal domain by moving a cursor near one extreme of the display.

  6. Sixties Counterculture and the Personal Computer (What the Dormouse Said: How the Sixties Counterculture Shaped the Personal Computer Industry)

    SciTech Connect (OSTI)

    Markoff, John

    2006-01-30

    The Internet is arguably the largest accumulation of information in one place, yet its own beginnings remain largely undocumented. In researching his recent book, John Markoff collected oral histories from many of the Stanford-area researchers whose technological inventions defined the both modern internet and personal computer. In his talk, Markoff will explore the role that the counterculture and anti war movements of the 1960s and 1970s played in the work of these researchers as they created what would later be called the 'world's largest legal accumulation of wealth.'

  7. PC-DYMAC: Personal Computer---DYnamic Materials ACcounting

    SciTech Connect (OSTI)

    Jackson, B.G.

    1989-11-01

    This manual was designed to provide complete documentation for the computer system used by the EBR-II Fuels and Materials Department, Argonne National Laboratory-West (ANL-W) for accountability of special nuclear materials (SNM). This document includes background information on the operation of the Fuel Manufacturing Facility (FMF), instructions on computer operations in correlation with production and a detailed manual for DYMAC operation. 60 figs.

  8. Acceleration of the matrix multiplication of Radiance three phase daylighting simulations with parallel computing on heterogeneous hardware of personal computer

    SciTech Connect (OSTI)

    Zuo, Wangda; McNeil, Andrew; Wetter, Michael; Lee, Eleanor S.

    2013-05-23

    Building designers are increasingly relying on complex fenestration systems to reduce energy consumed for lighting and HVAC in low energy buildings. Radiance, a lighting simulation program, has been used to conduct daylighting simulations for complex fenestration systems. Depending on the configurations, the simulation can take hours or even days using a personal computer. This paper describes how to accelerate the matrix multiplication portion of a Radiance three-phase daylight simulation by conducting parallel computing on heterogeneous hardware of a personal computer. The algorithm was optimized and the computational part was implemented in parallel using OpenCL. The speed of new approach was evaluated using various daylighting simulation cases on a multicore central processing unit and a graphics processing unit. Based on the measurements and analysis of the time usage for the Radiance daylighting simulation, further speedups can be achieved by using fast I/O devices and storing the data in a binary format.

  9. Energy Use and Power Levels in New Monitors and Personal Computers

    SciTech Connect (OSTI)

    Roberson, Judy A.; Homan, Gregory K.; Mahajan, Akshay; Nordman, Bruce; Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla; Koomey, Jonathan G.

    2002-07-23

    Our research was conducted in support of the EPA ENERGY STAR Office Equipment program, whose goal is to reduce the amount of electricity consumed by office equipment in the U.S. The most energy-efficient models in each office equipment category are eligible for the ENERGY STAR label, which consumers can use to identify and select efficient products. As the efficiency of each category improves over time, the ENERGY STAR criteria need to be revised accordingly. The purpose of this study was to provide reliable data on the energy consumption of the newest personal computers and monitors that the EPA can use to evaluate revisions to current ENERGY STAR criteria as well as to improve the accuracy of ENERGY STAR program savings estimates. We report the results of measuring the power consumption and power management capabilities of a sample of new monitors and computers. These results will be used to improve estimates of program energy savings and carbon emission reductions, and to inform rev isions of the ENERGY STAR criteria for these products. Our sample consists of 35 monitors and 26 computers manufactured between July 2000 and October 2001; it includes cathode ray tube (CRT) and liquid crystal display (LCD) monitors, Macintosh and Intel-architecture computers, desktop and laptop computers, and integrated computer systems, in which power consumption of the computer and monitor cannot be measured separately. For each machine we measured power consumption when off, on, and in each low-power level. We identify trends in and opportunities to reduce power consumption in new personal computers and monitors. Our results include a trend among monitor manufacturers to provide a single very low low-power level, well below the current ENERGY STAR criteria for sleep power consumption. These very low sleep power results mean that energy consumed when monitors are off or in active use has become more important in terms of contribution to the overall unit energy consumption (UEC). Cur rent ENERGY STAR monitor and computer criteria do not specify off or on power, but our results suggest opportunities for saving energy in these modes. Also, significant differences between CRT and LCD technology, and between field-measured and manufacturer-reported power levels reveal the need for standard methods and metrics for measuring and comparing monitor power consumption.

  10. Power levels in office equipment: Measurements of new monitors and personal computers

    SciTech Connect (OSTI)

    Roberson, Judy A.; Brown, Richard E.; Nordman, Bruce; Webber, Carrie A.; Homan, Gregory H.; Mahajan, Akshay; McWhinney, Marla; Koomey, Jonathan G.

    2002-05-14

    Electronic office equipment has proliferated rapidly over the last twenty years and is projected to continue growing in the future. Efforts to reduce the growth in office equipment energy use have focused on power management to reduce power consumption of electronic devices when not being used for their primary purpose. The EPA ENERGY STAR[registered trademark] program has been instrumental in gaining widespread support for power management in office equipment, and accurate information about the energy used by office equipment in all power levels is important to improving program design and evaluation. This paper presents the results of a field study conducted during 2001 to measure the power levels of new monitors and personal computers. We measured off, on, and low-power levels in about 60 units manufactured since July 2000. The paper summarizes power data collected, explores differences within the sample (e.g., between CRT and LCD monitors), and discusses some issues that arise in m etering office equipment. We also present conclusions to help improve the success of future power management programs.Our findings include a trend among monitor manufacturers to provide a single very low low-power level, and the need to standardize methods for measuring monitor on power, to more accurately estimate the annual energy consumption of office equipment, as well as actual and potential energy savings from power management.

  11. Efficiency Improvement Opportunities for Personal Computer Monitors. Implications for Market Transformation Programs

    SciTech Connect (OSTI)

    Park, Won Young; Phadke, Amol; Shah, Nihar

    2012-06-29

    Displays account for a significant portion of electricity consumed in personal computer (PC) use, and global PC monitor shipments are expected to continue to increase. We assess the market trends in the energy efficiency of PC monitors that are likely to occur without any additional policy intervention and estimate that display efficiency will likely improve by over 40% by 2015 compared to todays technology. We evaluate the cost effectiveness of a key technology which further improves efficiency beyond this level by at least 20% and find that its adoption is cost effective. We assess the potential for further improving efficiency taking into account the recent development of universal serial bus (USB) powered liquid crystal display (LCD) monitors and find that the current technology available and deployed in USB powered monitors has the potential to deeply reduce energy consumption by as much as 50%. We provide insights for policies and programs that can be used to accelerate the adoption of efficient technologies to capture global energy saving potential from PC monitors which we estimate to be 9.2 terawatt-hours [TWh] per year in 2015.

  12. Measured energy savings and performance of power-managed personal computers and monitors

    SciTech Connect (OSTI)

    Nordman, B.; Piette, M.A.; Kinney, K.

    1996-08-01

    Personal computers and monitors are estimated to use 14 billion kWh/year of electricity, with power management potentially saving $600 million/year by the year 2000. The effort to capture these savings is lead by the US Environmental Protection Agency`s Energy Star program, which specifies a 30W maximum demand for the computer and for the monitor when in a {open_quote}sleep{close_quote} or idle mode. In this paper the authors discuss measured energy use and estimated savings for power-managed (Energy Star compliant) PCs and monitors. They collected electricity use measurements of six power-managed PCs and monitors in their office and five from two other research projects. The devices are diverse in machine type, use patterns, and context. The analysis method estimates the time spent in each system operating mode (off, low-, and full-power) and combines these with real power measurements to derive hours of use per mode, energy use, and energy savings. Three schedules are explored in the {open_quotes}As-operated,{close_quotes} {open_quotes}Standardized,{close_quotes} and `Maximum` savings estimates. Energy savings are established by comparing the measurements to a baseline with power management disabled. As-operated energy savings for the eleven PCs and monitors ranged from zero to 75 kWh/year. Under the standard operating schedule (on 20% of nights and weekends), the savings are about 200 kWh/year. An audit of power management features and configurations for several dozen Energy Star machines found only 11% of CPU`s fully enabled and about two thirds of monitors were successfully power managed. The highest priority for greater power management savings is to enable monitors, as opposed to CPU`s, since they are generally easier to configure, less likely to interfere with system operation, and have greater savings. The difficulties in properly configuring PCs and monitors is the largest current barrier to achieving the savings potential from power management.

  13. Viscosity index calculated by program in GW-basic for personal computers

    SciTech Connect (OSTI)

    Anaya, C.; Bermudez, O. )

    1988-12-26

    A computer program has been developed to calculate the viscosity index of oils when viscosities at two temperatures are known.

  14. computers

    National Nuclear Security Administration (NNSA)

    Each successive generation of computing system has provided greater computing power and energy efficiency.

    CTS-1 clusters will support NNSA's Life Extension Program and...

  15. Computing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computing /newsroom/_assets/images/computing-icon.png Computing Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of strategic national interest. Health Space Computing Energy Earth Materials Science Technology The Lab All Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable

  16. Computations

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Software Computations Uncertainty Quantification Stochastic About CRF Transportation Energy Consortiums Engine Combustion Heavy Duty Heavy Duty Low-Temperature & Diesel Combustion ...

  17. Computer

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    I. INTRODUCTION This paper presents several computational tools required for processing images of a heavy ion beam and estimating the magnetic field within a plasma. The...

  18. computers

    National Nuclear Security Administration (NNSA)

    California.

    Retired computers used for cybersecurity research at Sandia National...

  19. When worlds collide - Mac to MS-DOS. [Data transfer to and from Apple Macintosh computers and MS-DOS based personal computers

    SciTech Connect (OSTI)

    Busbey, A.B.

    1989-04-01

    A number of methods and products, both hardware and software, to allow data exchange between Apple Macintosh computers and MS-DOS based systems. These included serial null modem connections, MS-DOS hardware and/or software emulation, MS-DOS disk-reading hardware and networking.

  20. Computing

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Office of Advanced Scientific Computing Research in the Department of Energy Office of Science under contract number DE-AC02-05CH11231. Application and System Memory Use, ...

    1. Computations

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computations - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

    2. Computing Videos

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Videos Computing

    3. Computers in Commercial Buildings

      U.S. Energy Information Administration (EIA) Indexed Site

      Government-owned buildings of all types, had, on average, more than one computer per person (1,104 computers per thousand employees). They also had a fairly high ratio of...

    4. Personal Property

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2015-06-09

      This Guide provides non-regulatory guidance and information to assist DOE organizations and contractors in implementing the DOE-wide and site-specific personal property management programs. Supersedes DOE G 580.1-1.

    5. Personal Property - DOE Directives, Delegations, and Requirements

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal Property

    6. 57/person

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      57/person includes transportation to and from Seattle, game ticket, snacks on the bus, and pizza on way home! Send checks (payable to HERO) to Diane Call at S0-17 or contact Diane at 372-8371 or Diane_G_Call@rl.gov Reserve your spot no later than June 9! Seats are in Section 343, Rows B through E HERO cannot accept personal checks over $250. Your seats are not confirmed until your payment has been received. JOIN HERO FOR SOUNDERS SOCCER VS. L.A. GALAXY SATURDAY, JULY 9, 2016 GAME AT 12 NOON

    7. Personal Property

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2014-10-16

      This Guide provides non-regulatory guidance and information to assist DOE organizations and contractors in implementing the DOE-wide and site-specific personal property management programs. It supplements the policy, requirements, and responsibilities information contained in the DOE Order cited above and clarifies the regulatory requirements contained in the Federal Property Management Regulation (FMR) and specific contracts.

    8. Table 1. Personal Computers and Computer Terminals in Commercial...

      U.S. Energy Information Administration (EIA) Indexed Site

      75,262 43,003 732 571 Principal Building Activity Assembly 596 6,740 6,840 1,763 262 258 Education 309 7,740 9,495 8,046 1,039 847 Food Sales 137 642 652 206 321 316 Food Service...

    9. Computer Accounts | Stanford Synchrotron Radiation Lightsource

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Accounts Each user group must have a computer account. Additionally, all persons using these accounts are responsible for understanding and complying with the terms outlined in the "Use of SLAC Information Resources". Links are provided below for computer account forms and the computer security agreement which must be completed and sent to the appropriate contact person. SSRL does not charge for use of its computer systems. Forms X-ray/VUV Computer Account Request Form

    10. Personal Exemption | Open Energy Information

      Open Energy Info (EERE)

      Fuel Vehicles (Oklahoma) Personal Exemption Personal Exemption Oklahoma Residential Methanol No Residential Energy Conservation Subsidy Exclusion (Personal) (Federal)...

    11. Inexpensive computer data-acquisition system

      SciTech Connect (OSTI)

      Galvin, J.E.; Brown, I.G.

      1985-10-01

      A system based on an Apple II+ personal computer is used for on-line monitoring of ion-beam characteristics in accelerator ion source development.

    12. Computing and Computational Sciences Directorate - Computer Science...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Science and Mathematics Division The Computer Science and Mathematics Division (CSMD) is ORNL's premier source of basic and applied research in high-performance computing, ...

    13. Personalized professional content recommendation

      DOE Patents [OSTI]

      Xu, Songhua

      2015-11-05

      A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile.

    14. Personalized professional content recommendation

      DOE Patents [OSTI]

      Xu, Songhua

      2015-10-27

      A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile.

    15. Computation & Simulation > Theory & Computation > Research >...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      it. Click above to view. computational2 computational3 In This Section Computation & Simulation Computation & Simulation Extensive combinatorial results and ongoing basic...

    16. Protecting your personal information

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      2015-Jan. 2016 all issues All Issues submit Protecting your personal information Quantum cryptography keeps data secure from cyber thieves October 1, 2014 Mass-producible...

    17. Personally Identifiable Information

      Broader source: Energy.gov [DOE]

      Websites and applications that collect data on individuals are gathering personally identifiable information (PII). PII is also often collected for customer surveys or user experience (UX) research.

    18. Computing and Computational Sciences Directorate - Computer Science...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Science and Mathematics Division Citation: For exemplary administrative secretarial support to the Computer Science and Mathematics Division and to the ORNL ...

    19. Energy Efficient Computer Use | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Electricity & Fuel » Appliances & Electronics » Energy Efficient Computer Use Energy Efficient Computer Use Use sleep mode and power management features on your computer to save money on your energy bill. Use sleep mode and power management features on your computer to save money on your energy bill. If you wonder when you should turn off your personal computer for energy savings, here are some general guidelines to help you make that decision. Though there is a small surge in energy

    20. Headquarters Personal Property Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2004-10-25

      To establish procedures for managing Government personal property owned or leased by the Department of Energy and in the custody of DOE Headquarters employees, including those in the National Nuclear Security Administration. Cancels DOE HQ O 580.1A

    1. Compute nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute nodes Compute nodes Click here to see more detailed hierachical map of the topology of a compute node. Last edited: 2016-04-29 11:35:0

    2. Excessing of Computers Used for Unclassified Controlled Information...

      Broader source: Energy.gov (indexed) [DOE]

      of approxiinately 800 infomations ystems, including up to 11 5,000 personal computers, many powerful supercomputers, numerous servers, and a broad array of related...

    3. Personal Property Management Program Brochure | Department of...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Personal Property Management Program Brochure Personal Property Management Program Brochure PDF icon Personal Property Management Program Brochure More Documents & Publications...

    4. Computer System,

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      undergraduate summer institute http:isti.lanl.gov (Educational Prog) 2016 Computer System, Cluster, and Networking Summer Institute Purpose The Computer System,...

    5. Exascale Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      DesignForward FastForward CAL Partnerships Shifter: User Defined Images Archive APEX Home R & D Exascale Computing Exascale Computing Moving forward into the exascale era, ...

    6. Computing Sciences

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Sciences Our Vision National User Facilities Research Areas In Focus Global Solutions ⇒ Navigate Section Our Vision National User Facilities Research Areas In Focus Global Solutions Computational Research Division The Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. Scientific Networking

    7. Computing Information

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Information From here you can find information relating to: Obtaining the right computer accounts. Using NIC terminals. Using BooNE's Computing Resources, including: Choosing your desktop. Kerberos. AFS. Printing. Recommended applications for various common tasks. Running CPU- or IO-intensive programs (batch jobs) Commonly encountered problems Computing support within BooNE Bringing a computer to FNAL, or purchasing a new one. Laptops. The Computer Security Program Plan for MiniBooNE The

    8. Computing Resources

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Cluster-Image TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computing Resources The TRACC Computational Clusters With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD

    9. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Nodes Compute Nodes Quad CoreAMDOpteronprocessor Compute Node Configuration 9,572 nodes 1 quad-core AMD 'Budapest' 2.3 GHz processor per node 4 cores per node (38,288 total cores) 8 GB DDR3 800 MHz memory per node Peak Gflop rate 9.2 Gflops/core 36.8 Gflops/node 352 Tflops for the entire machine Each core has their own L1 and L2 caches, with 64 KB and 512KB respectively 2 MB L3 cache shared among the 4 cores Compute Node Software By default the compute nodes run a restricted low-overhead

    10. Computer disk with personal information of Department of Energy...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      to one free credit report from each agency per year. Employees can also place a 90-day "fraud alert" on their file through the above site or by calling one of the credit reporting...

    11. Assess coal quality impacts on your personal computer

      SciTech Connect (OSTI)

      Niksa, S.

      1996-12-31

      In the past, utility companies that operate coal-fired boilers entered into long-term contracts with their coal suppliers to secure a steady supply of similar fuels for smooth, trouble-free, day-to- day operations. In today`s environment long-term contracts might seem unappealing because utility strategists would rather be free to switch to different coals to lower costs or meet emissions regulations. Coal switching is often an important part of compliance strategies that seek an optimal balance among technology upgrades, bubble-based emissions averages across several boilers, and open-market trading allowances. Although switching is now motivated by SO{sub 2} compliance, a new coal can affect many other operating characteristics, including pulverizer performance, heat rate, stagging and fouling, unburned carbon in ash, NO{sub x} emissions, and certainly cost. In light of the push for tighter NO{sub x} regulations before the turn of the century under Title I of the Clear Air Act Amendments, it is prudent for utilities to factor in the impact of a coal switch on NO{sub x} and unburned carbon emissions into their coal selection decisions.

    12. List of Personal Computing Equipment Incentives | Open Energy...

      Open Energy Info (EERE)

      Alexandria Light and Power - Commercial Energy Efficiency Rebate Program (Minnesota) Utility Rebate Program Minnesota Commercial Industrial Central Air conditioners Chillers...

    13. Personal Property Policy | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Personal Property Policy Personal Property Policy Personal Property Policy The DOE Personal Property Policy Division is responsible for development and oversight of the Department's personal property management program; establishes policies, standards, and guidance in accordance with applicable laws, regulations and sound personal property management practices and standards. Additionally MA-653: Advises and provides staff assistance to headquarters and field organizations that perform personal

    14. PERSONAL RADIATION MONITOR

      DOE Patents [OSTI]

      Dilworth, R.H.; Borkowski, C.J.

      1961-12-26

      A transistorized, fountain pen type radiation monitor to be worn on the person is described. Radiation produces both light flashes in a small bulb and an audible warning tone, the frequency of both the tone and light flashes being proportional to radiation intensity. The device is powered by a battery and a blocking oscillator step-up power supply The oscillator frequency- is regulated to be proportional to the radiation intensity, to provide adequate power in high radiation fields, yet minimize battery drain at low operating intensities. (AEC)

    15. Personal continuous air monitor

      DOE Patents [OSTI]

      Morgan, Ronald G.; Salazar, Samuel A.

      2000-01-01

      A personal continuous air monitor capable of giving immediate warning of the presence of radioactivity has a filter/detector head to be worn in the breathing zone of a user, containing a filter mounted adjacent to radiation detectors, and a preamplifier. The filter/detector head is connected to a belt pack to be worn at the waist or on the back of a user. The belt pack contains a signal processor, batteries, a multichannel analyzer, a logic circuit, and an alarm. An air pump also is provided in the belt pack for pulling air through the filter/detector head by way of an air tube.

    16. Computational Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Advanced Materials Laboratory Center for Integrated Nanotechnologies Combustion Research Facility Computational Science Research Institute Joint BioEnergy Institute About EC News ...

    17. Computer Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Cite Seer Department of Energy provided open access science research citations in chemistry, physics, materials, engineering, and computer science IEEE Xplore Full text...

    18. Computer Security

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Security All JLF participants must fully comply with all LLNL computer security regulations and procedures. A laptop entering or leaving B-174 for the sole use by a US citizen and so configured, and requiring no IP address, need not be registered for use in the JLF. By September 2009, it is expected that computers for use by Foreign National Investigators will have no special provisions. Notify maricle1@llnl.gov of all other computers entering, leaving, or being moved within B 174. Use

    19. Computing Events

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Laboratory (pdf) DOENNSA Laboratories Fulfill National Mission with Trinity and Cielo Petascale Computers (pdf) Exascale Co-design Center for Materials in Extreme...

    20. Computing and Computational Sciences Directorate - Divisions

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      CCSD Divisions Computational Sciences and Engineering Computer Sciences and Mathematics Information Technolgoy Services Joint Institute for Computational Sciences National Center ...

    1. Computing and Computational Sciences Directorate - Contacts

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Home About Us Contacts Jeff Nichols Associate Laboratory Director Computing and Computational Sciences Becky Verastegui Directorate Operations Manager Computing and...

    2. 2009 Energy Expenditure Per Person | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Energy Expenditure Per Person 2009 Energy Expenditure Per Person 2009 Energy Expenditure Per Person...

    3. Computer, Computational, and Statistical Sciences

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Directed Research and Development (LDRD) Defense Advanced Research Projects Agency (DARPA) Defense Threat Reduction Agency (DTRA) Research Applied Computer Science Co-design ...

    4. Personal annunciation device

      DOE Patents [OSTI]

      Angelo, Peter; Younkin, James; DeMint, Paul

      2011-01-25

      A personal annunciation device (PAD) providing, in an area of interest, compensatory annunciation of the presence of an abnormal condition in a hazardous area and accountability of the user of the PAD. Compensatory annunciation supplements primary annunciation provided by an emergency notification system (ENS). A detection system detects an abnormal condition, and a wireless transmission system transmits a wireless transmission to the PAD. The PAD has a housing enclosing the components of the PAD including a communication module for receiving the wireless transmission, a power supply, processor, memory, annunciation system, and RFID module. The RFID module has an RFID receiver that listens for an RFID transmission from an RFID reader disposed in a portal of an area of interest. The PAD identifies the transmission and changes its operating state based on the transmission. The RFID readers recognize, record, and transmit the state of the PAD to a base station providing accountability of the wearer.

    5. PIA - Human Resources - Personal Information Change Request ...

      Energy Savers [EERE]

      Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory PIA - Human Resources - Personal Information Change Request - Idaho National...

    6. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Nodes Compute Nodes There are currently 2632 nodes available on PDSF. The compute (batch) nodes at PDSF are heterogenous, reflecting the periodic procurement of new nodes (and the eventual retirement of old nodes). From the user's perspective they are essentially all equivalent except that some have more memory per job slot. If your jobs have memory requirements beyond the default maximum of 1.1GB you should specify that in your job submission and the batch system will run your job on an

    7. Government Personal Property Asset Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      1998-05-11

      Establishes procedures for managing Government personal property owned or leased by and in the custody of Department of Energy (DOE) Headquarters employees. Cancels HQ 1400.1.

    8. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nodes Quad CoreAMDOpteronprocessor Compute Node Configuration 9,572 nodes 1 quad-core AMD 'Budapest' 2.3 GHz processor per node 4 cores per node (38,288 total cores) 8 GB...

    9. LHC Computing

      SciTech Connect (OSTI)

      Lincoln, Don

      2015-07-28

      The LHC is the world’s highest energy particle accelerator and scientists use it to record an unprecedented amount of data. This data is recorded in electronic format and it requires an enormous computational infrastructure to convert the raw data into conclusions about the fundamental rules that govern matter. In this video, Fermilab’s Dr. Don Lincoln gives us a sense of just how much data is involved and the incredible computer resources that makes it all possible.

    10. Packet personal radiation monitor

      DOE Patents [OSTI]

      Phelps, James E.

      1989-01-01

      A personal radiation monitor of the chirper type is provided for detecting ionizing radiation. A battery powered high voltage power supply is used to generate and apply a high voltage bias to a G-M tube radiation sensor. The high voltage is monitored by a low-loss sensing network which generates a feedback signal to control the high voltage power supply such that the high voltage bias is recharged to +500 VDC when the current pulses of the sensor, generated by the detection of ionizing radiation events, discharges the high voltage bias to +450 VDC. During the high voltage recharge period an audio transducer is activated to produce an audible "chirp". The rate of the "chirps" is controlled by the rate at which the high voltage bias is recharged, which is proportional to the radiation field intensity to which the sensor is exposed. The chirp rate sensitivity is set to be approximately 1.5 (chirps/min/MR/hr.). The G-M tube sensor is used in a current sensing mode so that the device does not paralyze in a high radiation field.

    11. Packet personal radiation monitor

      DOE Patents [OSTI]

      Phelps, J.E.

      1988-03-31

      A personal radiation monitor of the chirper type is provided for detecting ionizing radiation. A battery powered high voltage power supply is used to generate and apply a high voltage bias to a G-M tube radiation sensor. The high voltage is monitored by a low-loss sensing network which generates a feedback signal to control the high voltage power supply such that the high voltage bias is recharged to +500 VDC when the current pulses of the sensor, generated by the detection of ionizing radiatonevents, discharges the high voltage bias to +450 VDC. During the high voltage recharge period an audio transducer is activated to produce an audible ''chirp''. The rate of the ''chirps'' is controlled by the rate at which the high voltage bias is recharged, which is proportional to the radiation field intensity to which the sensor is exposed. The chirp rate sensitivity is set to be approximately 1.5 (chirps/min/MR/hr.). The G-M tube sensor is used in a current sensing mode so that the device does not paralyze in a high radiation field. 2 figs.

    12. Computational mechanics

      SciTech Connect (OSTI)

      Goudreau, G.L.

      1993-03-01

      The Computational Mechanics thrust area sponsors research into the underlying solid, structural and fluid mechanics and heat transfer necessary for the development of state-of-the-art general purpose computational software. The scale of computational capability spans office workstations, departmental computer servers, and Cray-class supercomputers. The DYNA, NIKE, and TOPAZ codes have achieved world fame through our broad collaborators program, in addition to their strong support of on-going Lawrence Livermore National Laboratory (LLNL) programs. Several technology transfer initiatives have been based on these established codes, teaming LLNL analysts and researchers with counterparts in industry, extending code capability to specific industrial interests of casting, metalforming, and automobile crash dynamics. The next-generation solid/structural mechanics code, ParaDyn, is targeted toward massively parallel computers, which will extend performance from gigaflop to teraflop power. Our work for FY-92 is described in the following eight articles: (1) Solution Strategies: New Approaches for Strongly Nonlinear Quasistatic Problems Using DYNA3D; (2) Enhanced Enforcement of Mechanical Contact: The Method of Augmented Lagrangians; (3) ParaDyn: New Generation Solid/Structural Mechanics Codes for Massively Parallel Processors; (4) Composite Damage Modeling; (5) HYDRA: A Parallel/Vector Flow Solver for Three-Dimensional, Transient, Incompressible Viscous How; (6) Development and Testing of the TRIM3D Radiation Heat Transfer Code; (7) A Methodology for Calculating the Seismic Response of Critical Structures; and (8) Reinforced Concrete Damage Modeling.

    13. Compute Nodes

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Nodes Compute Nodes MC-proc.png Compute Node Configuration 6,384 nodes 2 twelve-core AMD 'MagnyCours' 2.1-GHz processors per node (see die image to the right and schematic below) 24 cores per node (153,216 total cores) 32 GB DDR3 1333-MHz memory per node (6,000 nodes) 64 GB DDR3 1333-MHz memory per node (384 nodes) Peak Gflop/s rate: 8.4 Gflops/core 201.6 Gflops/node 1.28 Peta-flops for the entire machine Each core has its own L1 and L2 caches, with 64 KB and 512KB respectively One 6-MB

    14. Computational mechanics

      SciTech Connect (OSTI)

      Raboin, P J

      1998-01-01

      The Computational Mechanics thrust area is a vital and growing facet of the Mechanical Engineering Department at Lawrence Livermore National Laboratory (LLNL). This work supports the development of computational analysis tools in the areas of structural mechanics and heat transfer. Over 75 analysts depend on thrust area-supported software running on a variety of computing platforms to meet the demands of LLNL programs. Interactions with the Department of Defense (DOD) High Performance Computing and Modernization Program and the Defense Special Weapons Agency are of special importance as they support our ParaDyn project in its development of new parallel capabilities for DYNA3D. Working with DOD customers has been invaluable to driving this technology in directions mutually beneficial to the Department of Energy. Other projects associated with the Computational Mechanics thrust area include work with the Partnership for a New Generation Vehicle (PNGV) for ''Springback Predictability'' and with the Federal Aviation Administration (FAA) for the ''Development of Methodologies for Evaluating Containment and Mitigation of Uncontained Engine Debris.'' In this report for FY-97, there are five articles detailing three code development activities and two projects that synthesized new code capabilities with new analytic research in damage/failure and biomechanics. The article this year are: (1) Energy- and Momentum-Conserving Rigid-Body Contact for NIKE3D and DYNA3D; (2) Computational Modeling of Prosthetics: A New Approach to Implant Design; (3) Characterization of Laser-Induced Mechanical Failure Damage of Optical Components; (4) Parallel Algorithm Research for Solid Mechanics Applications Using Finite Element Analysis; and (5) An Accurate One-Step Elasto-Plasticity Algorithm for Shell Elements in DYNA3D.

    15. Advanced Scientific Computing Research

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, ... The DOE Office of Science's Advanced Scientific Computing Research (ASCR) program ...

    16. Computing at JLab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      JLab --- Accelerator Controls CAD CDEV CODA Computer Center High Performance Computing Scientific Computing JLab Computer Silo maintained by webmaster@jlab.org...

    17. Table 2. Change in the Number of Personal Computers and Computer...

      U.S. Energy Information Administration (EIA) Indexed Site

      32 463 732 58 Principal Building Activity Assembly 845 1,763 109 167 258 54 102 262 157 Education 6,004 8,046 34 877 847 -3 710 1,039 46 Food Sales 85 206 142 101 316 213 113 321...

    18. Fermilab | Science at Fermilab | Computing | Grid Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Grid Computing Center interior. Grid Computing Center interior. Computing Grid Computing As high-energy physics experiments grow larger in scope, they require more computing power to process and analyze data. Laboratories purchase rooms full of computer nodes for experiments to use. But many experiments need even more capacity during peak periods . And some experiments do not need to use all of their computing power all of the time. In the early 2000s, members of Fermilab's Computing Division

    19. RATIO COMPUTER

      DOE Patents [OSTI]

      Post, R.F.

      1958-11-11

      An electronic computer circuit is described for producing an output voltage proportional to the product or quotient of tbe voltages of a pair of input signals. ln essence, the disclosed invention provides a computer having two channels adapted to receive separate input signals and each having amplifiers with like fixed amplification factors and like negatlve feedback amplifiers. One of the channels receives a constant signal for comparison purposes, whereby a difference signal is produced to control the amplification factors of the variable feedback amplifiers. The output of the other channel is thereby proportional to the product or quotient of input signals depending upon the relation of input to fixed signals in the first mentioned channel.

    20. Computer System,

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      System, Cluster, and Networking Summer Institute New Mexico Consortium and Los Alamos National Laboratory HOW TO APPLY Applications will be accepted JANUARY 5 - FEBRUARY 13, 2016 Computing and Information Technology undegraduate students are encouraged to apply. Must be a U.S. citizen. * Submit a current resume; * Offcial University Transcript (with spring courses posted and/or a copy of spring 2016 schedule) 3.0 GPA minimum; * One Letter of Recommendation from a Faculty Member; and * Letter of

    1. Collecting Personally Identifiable Information Through the Web...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Federal Requirements Collecting Personally Identifiable Information Through the Web and User Research Collecting Personally Identifiable Information Through the Web and User ...

    2. Personal Property Briefings | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      More Documents & Publications Personal Property Management Program Brochure Policy Flash 2014-40 Implementation of DOE O 580.1A, DOE Energy Personal Property Management ...

    3. Traffic information computing platform for big data

      SciTech Connect (OSTI)

      Duan, Zongtao Li, Ying Zheng, Xibin Liu, Yan Dai, Jiting Kang, Jun

      2014-10-06

      Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

    4. Headquarters Personal Property Asset Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2005-09-26

      To establish procedures for managing Government personal property owned or leased by the Department of Energy and in the custody of DOE Headquarters employees, including those in the National Nuclear Security Administration. Cancels DOE HQ O 580.1B. Canceled by DOE N 251.69.

    5. Government Personal Property Asset Management

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2001-09-23

      To establish procedures for managing Government personal owned or leased by the Department of Energy (DOE) and in the custody of DOE Headquarters employees, including those in the National Nuclear Security Administration (NNSA), in accordance with Federal and Departmental regulations. Cancels HQ O 580.1.

    6. Computing and Computational Sciences Directorate - Joint Institute...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      (JICS). JICS combines the experience and expertise in theoretical and computational science and engineering, computer science, and mathematics in these two institutions and ...

    7. High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      HPC INL Logo Home High-Performance Computing INL's high-performance computing center provides general use scientific computing capabilities to support the lab's efforts in advanced...

    8. PCA-multiport, a universal computer-based multichannel analyzer

      SciTech Connect (OSTI)

      Seymour, R.; Bedwell, M.; Stockton, S.; Beal, T.; Ahsan, Z.

      1991-11-01

      Nearly a decade has passed since Tennelec/Nucleus introduced the first personal-computer-based multichannel analyzer (MCA). These new MCA architectures, including plug-in cards, nuclear instrumentation module (NIM), and non-NIM versions, have revolutionized spectroscopy measurements and virtually replaced conventional one-box MCAs. The Tennelec personal computer analyzer (PCA)-Multiport is a third-generation system capable of interfacing with virtually any computer. It is designed to be used for most energy and timing measurements commonly encountered in nuclear spectroscopy.

    9. Idling Reduction for Personal Vehicles

      Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

      - Idling Reduction for Personal Vehicles Idling your vehicle-running your engine when you're not driving it-truly gets you nowhere. Idling reduces your vehicle's fuel economy, costs you money, and creates pollution. Idling for more than 10 seconds uses more fuel and produces more emissions that contribute to smog and climate change than stopping and restarting your engine does. Researchers estimate that idling from heavy-duty and light- duty vehicles combined wastes about 6 billion gallons of

    10. Idling Reduction for Personal Vehicles

      SciTech Connect (OSTI)

      2015-05-07

      Fact sheet on reducing engine idling in personal vehicles. Idling your vehicle--running your engine when you're not driving it--truly gets you nowhere. Idling reduces your vehicle's fuel economy, costs you money, and creates pollution. Idling for more than 10 seconds uses more fuel and produces more emissions that contribute to smog and climate change than stopping and restarting your engine does.

    11. QUEST Hanford Site Computer Users - What do they do?

      SciTech Connect (OSTI)

      WITHERSPOON, T.T.

      2000-03-02

      The Fluor Hanford Chief Information Office requested that a computer-user survey be conducted to determine the user's dependence on the computer and its importance to their ability to accomplish their work. Daily use trends and future needs of Hanford Site personal computer (PC) users was also to be defined. A primary objective was to use the data to determine how budgets should be focused toward providing those services that are truly needed by the users.

    12. Former NERSC Consultant Mentors Math, Computer Science Students

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Former NERSC Consultant Mentors Math, Computer Science Students Former NERSC Consultant Mentors Math, Computer Science Students March 10, 2015 Frank Hale, a former consultant in NERSC's User Services Group (USG) who currently tutors math at Diablo Valley College (DVC) in Pleasant Hill, CA, recently brought a group of computer science enthusiasts from the college to NERSC for a tour. Hale, the first person hired into the USG when NERSC relocated from Lawrence Livermore National Laboratory to

    13. Computers for artificial intelligence a technology assessment and forecast

      SciTech Connect (OSTI)

      Miller, R.K.

      1986-01-01

      This study reviews the development and current state-of-the-art in computers for artificial intelligence, including LISP machines, AI workstations, professional and engineering workstations, minicomputers, mainframes, and supercomputers. Major computer systems for AI applications are reviewed. The use of personal computers for expert system development is discussed, and AI software for the IBM PC, Texas Instrument Professional Computer, and Apple MacIntosh is presented. Current research aimed at developing a new computer for artificial intelligence is described, and future technological developments are discussed.

    14. Department of Energy Personal Property Management Program

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2005-12-07

      This Order provides responsibilities and requirements for personal property management at the Department. Change 1, dated 5-8-08, includes responsibilities for heads of Departmental elements to be accountable for personal property inventories. Cancels DOE O 580.1.

    15. Department of Energy Personal Property Management Program

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2005-12-07

      This Order provides responsibilities and requirements for personal property management at the Department. Change 1, dated 5-8-08, includes responsibilities for heads of Departmental elements to be accountable for personal property inventories.

    16. Personal Property Disposition - Community Reuse Organizations (CROs) |

      Energy Savers [EERE]

      Department of Energy Personal Property Disposition - Community Reuse Organizations (CROs) Personal Property Disposition - Community Reuse Organizations (CROs) MEMORANDUM TO: DISTRIBUTION FROM: Michael Owen (signed) Director, Office of Worker and Community Transition Department of Energy Washington, DC 20505 January 22, 2003 Disposition of Excess Personal Property BACKGROUND AND PURPOSE CROs have been operating asset conversion and personal property transfer programs since shortly after the

    17. PIA - Human Resources - Personal Information Change Request ...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Change Request - Idaho National Engineering Laboratory PIA - Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory PIA - Human Resources - ...

    18. Department of Energy Personal Property Management Program

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2012-03-30

      The order sets forth requirements for personal property management and accountability. Admin Chg 1, dated 10-22-12.

    19. Type B Accident Investigation, Subcontractor Employee Personal...

      Office of Environmental Management (EM)

      Park, Oak Ridge, Tennessee Type B Accident Investigation, Subcontractor Employee ... PDF icon Type B Accident Investigation, Subcontractor Employee Personal Protective ...

    20. Personal Property Policy | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      objectives, measures, expectations Evaluates federal and contractor personal property management systems, functions, operations, procedures, and self-assessment programs. ...

    1. Personalized energy | Argonne National Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      This article was published in the spring 2016 issue of Argonne Now, the laboratory science magazine. Click for the rest of the issue. Personalized energy By Justin H.S. Breaux * March 7, 2016 Tweet EmailPrint The local food movement is booming. Can we do the same for electricity? This article was originally published in the spring 2016 issue of Argonne Now, the laboratory's science magazine. Being cut off from electricity doesn't just affect whether we can make a phone call or heat dinner; it

    2. Mike Sorey (personal communication 2014) | Open Energy Information

      Open Energy Info (EERE)

      Mike Sorey (personal communication 2014) Jump to: navigation, search OpenEI Reference LibraryAdd to library Personal Communication: Mike Sorey (personal communication 2014)...

    3. SSRL Computer & Networking Support Requests

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      CNG Help Request To use this form - Please enter your contact information below and select a category for your request. Also, provide a brief description of your request. When purchasing items, please include an account number. Priority*: Normal Urgent Requestor: (Name of person to contact for this request) Email: Phone: Support Required: I don't know Computer Support Network Support Printer Support Select Type of Request I don't know Details of your request: Property Control #: PC# Account

    4. Applications of Parallel Computers

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computers Applications of Parallel Computers UCB CS267 Spring 2015 Tuesday & Thursday, 9:30-11:00 Pacific Time Applications of Parallel Computers, CS267, is a graduate-level course...

    5. Computational Earth Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      6 Computational Earth Science We develop and apply a range of high-performance computational methods and software tools to Earth science projects in support of environmental ...

    6. Energy Aware Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Partnerships Shifter: User Defined Images Archive APEX Home R & D Energy Aware Computing Energy Aware Computing Dynamic Frequency Scaling One means to lower the energy ...

    7. Computer hardware fault administration

      DOE Patents [OSTI]

      Archer, Charles J.; Megerian, Mark G.; Ratterman, Joseph D.; Smith, Brian E.

      2010-09-14

      Computer hardware fault administration carried out in a parallel computer, where the parallel computer includes a plurality of compute nodes. The compute nodes are coupled for data communications by at least two independent data communications networks, where each data communications network includes data communications links connected to the compute nodes. Typical embodiments carry out hardware fault administration by identifying a location of a defective link in the first data communications network of the parallel computer and routing communications data around the defective link through the second data communications network of the parallel computer.

    8. advanced simulation and computing

      National Nuclear Security Administration (NNSA)

      Each successive generation of computing system has provided greater computing power and energy efficiency.

      CTS-1 clusters will support NNSA's Life Extension Program and...

    9. Applied & Computational Math

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      & Computational Math - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us ... Twitter Google + Vimeo GovDelivery SlideShare Applied & Computational Math HomeEnergy ...

    10. Molecular Science Computing | EMSL

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      computational and state-of-the-art experimental tools, providing a cross-disciplinary environment to further research. Additional Information Computing user policies Partners...

    11. Making Energy Personal | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Making Energy Personal Making Energy Personal Below is information about the student activity/lesson plan from your search. Grades 5-8 Subject Energy Choices and Society, Energy Efficiency and Conservation Summary Students will work with an interactive website in oder to determine their own CO2 output per year. Afterwards, they will conduct a home energy audit to develop personal energy saving strategies. Curriculum Language Arts, Mathematics, Science Plan Time 90 minutes, plus optional 2-class

    12. Radiological Safety Analysis Computer Program

      Energy Science and Technology Software Center (OSTI)

      2001-08-28

      RSAC-6 is the latest version of the RSAC program. It calculates the consequences of a release of radionuclides to the atmosphere. Using a personal computer, a user can generate a fission product inventory; decay and in-grow the inventory during transport through processes, facilities, and the environment; model the downwind dispersion of the activity; and calculate doses to downwind individuals. Internal dose from the inhalation and ingestion pathways is calculated. External dose from ground surface andmore » plume gamma pathways is calculated. New and exciting updates to the program include the ability to evaluate a release to an enclosed room, resuspension of deposited activity and evaluation of a release up to 1 meter from the release point. Enhanced tools are included for dry deposition, building wake, occupancy factors, respirable fraction, AMAD adjustment, updated and enhanced radionuclide inventory and inclusion of the dose-conversion factors from FOR 11 and 12.« less

    13. Department of Energy Personal Property Management Program

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2012-03-30

      The order sets forth requirements for personal property management and accountability. Admin Chg 1, dated 10-22-12, supersedes DOE O 580.1A.

    14. Personal Property Management Certification Brochure | Department...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Personal Property Briefings Initial Application for FAC-C, Purchasing, Financial Assistance and Property Management Certification Acquisition Career Management Handbook Change - ...

    15. Personal Energy formerly Altrenergie | Open Energy Information

      Open Energy Info (EERE)

      Energy formerly Altrenergie Jump to: navigation, search Name: Personal Energy (formerly Altrenergie) Place: Cagliari, Italy Zip: 9126 Product: A project developer based in...

    16. Computing and Computational Sciences Directorate - Information...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      cost-effective, state-of-the-art computing capabilities for research and development. ... communicates and manages strategy, policy and finance across the portfolio of IT assets. ...

    17. Computational Science and Engineering

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Science and Engineering NETL's Computational Science and Engineering competency consists of conducting applied scientific research and developing physics-based simulation models, methods, and tools to support the development and deployment of novel process and equipment designs. Research includes advanced computations to generate information beyond the reach of experiments alone by integrating experimental and computational sciences across different length and time scales. Specific

    18. Development of Personalized Radiant Cooling System for an Office Room

      SciTech Connect (OSTI)

      Khare, Vaibhav; Sharma, Anuj; Mathur, Jyotirmay; Bhandari, Mahabir S

      2015-01-01

      The building industry nowadays is facing two major challenges increased concern for energy reduction and growing need for thermal comfort. These challenges have led many researchers to develop Radiant Cooling Systems that show a large potential for energy savings. This study aims to develop a personalized cooling system using the principle of radiant cooling integrated with conventional all-air system to achieve better thermal environment at the workspace. Personalized conditioning aims to create a microclimatic zone around a single workspace. In this way, the energy is deployed only where it is actually needed, and the individual s needs for thermal comfort are fulfilled. To study the effect of air temperature along with air temperature distribution for workspace, air temperature near the vicinity of the occupant has been obtained as a result of Computational Fluid Dynamics (CFD) simulation using FLUENT. The analysis showed that personalized radiant system improves thermal environment near the workspace and allows all-air systems to work at higher thermostat temperature without compromising the thermal comfort, which in turn reduces its energy consumption.

    19. A personal message from Bill Archer

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      the Manhattan Project, Los Alamos has been at the forefront of developing and using computers for scientific research. In the 1960s the need for increased computational...

    20. Parallel computing works

      SciTech Connect (OSTI)

      Not Available

      1991-10-23

      An account of the Caltech Concurrent Computation Program (C{sup 3}P), a five year project that focused on answering the question: Can parallel computers be used to do large-scale scientific computations '' As the title indicates, the question is answered in the affirmative, by implementing numerous scientific applications on real parallel computers and doing computations that produced new scientific results. In the process of doing so, C{sup 3}P helped design and build several new computers, designed and implemented basic system software, developed algorithms for frequently used mathematical computations on massively parallel machines, devised performance models and measured the performance of many computers, and created a high performance computing facility based exclusively on parallel computers. While the initial focus of C{sup 3}P was the hypercube architecture developed by C. Seitz, many of the methods developed and lessons learned have been applied successfully on other massively parallel architectures.

    1. Computational Fluid Dynamics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      scour-tracc-cfd TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Fluid Dynamics Overview of CFD: Video Clip with Audio Computational fluid dynamics (CFD) research uses mathematical and computational models of flowing fluids to describe and predict fluid response in problems of interest, such as the flow of air around a moving vehicle or the flow of water and sediment in a river. Coupled with appropriate and prototypical

    2. Polymorphous computing fabric

      DOE Patents [OSTI]

      Wolinski, Christophe Czeslaw; Gokhale, Maya B.; McCabe, Kevin Peter

      2011-01-18

      Fabric-based computing systems and methods are disclosed. A fabric-based computing system can include a polymorphous computing fabric that can be customized on a per application basis and a host processor in communication with said polymorphous computing fabric. The polymorphous computing fabric includes a cellular architecture that can be highly parameterized to enable a customized synthesis of fabric instances for a variety of enhanced application performances thereof. A global memory concept can also be included that provides the host processor random access to all variables and instructions associated with the polymorphous computing fabric.

    3. Fermilab | Science at Fermilab | Computing | High-performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Lattice QCD Farm at the Grid Computing Center at Fermilab. Lattice QCD Farm at the Grid Computing Center at Fermilab. Computing High-performance Computing A workstation computer can perform billions of multiplication and addition operations each second. High-performance parallel computing becomes necessary when computations become too large or too long to complete on a single such machine. In parallel computing, computations are divided up so that many computers can work on the same problem at

    4. Computers for Learning

      Broader source: Energy.gov [DOE]

      Through Executive Order 12999, the Computers for Learning Program was established to provide Federal agencies a quick and easy system for donating excess and surplus computer equipment to schools...

    5. Cognitive Computing for Security.

      SciTech Connect (OSTI)

      Debenedictis, Erik; Rothganger, Fredrick; Aimone, James Bradley; Marinella, Matthew; Evans, Brian Robert; Warrender, Christina E.; Mickel, Patrick

      2015-12-01

      Final report for Cognitive Computing for Security LDRD 165613. It reports on the development of hybrid of general purpose/ne uromorphic computer architecture, with an emphasis on potential implementation with memristors.

    6. developing-compute-efficient

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Developing Compute-efficient, Quality Models with LS-PrePost 3 on the TRACC Cluster Oct. ... with an emphasis on applying these capabilities to build computationally efficient models. ...

    7. Advanced Scientific Computing Research

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, developing, and deploying computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the Department of Energy. Get Expertise Pieter Swart (505) 665 9437 Email Pat McCormick (505) 665-0201 Email Dave Higdon (505) 667-2091 Email Fulfilling the potential of emerging computing systems and architectures beyond today's tools and techniques to deliver

    8. Computational Structural Mechanics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      load-2 TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computational Structural Mechanics Overview of CSM Computational structural mechanics is a well-established methodology for the design and analysis of many components and structures found in the transportation field. Modern finite-element models (FEMs) play a major role in these evaluations, and sophisticated software, such as the commercially available LS-DYNA® code, is

    9. Mathematical and Computational Epidemiology

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Mathematical and Computational Epidemiology Search Site submit Contacts | Sponsors Mathematical and Computational Epidemiology Los Alamos National Laboratory change this image and alt text Menu About Contact Sponsors Research Agent-based Modeling Mixing Patterns, Social Networks Mathematical Epidemiology Social Internet Research Uncertainty Quantification Publications People Mathematical and Computational Epidemiology (MCEpi) Quantifying model uncertainty in agent-based simulations for

    10. BNL ATLAS Grid Computing

      ScienceCinema (OSTI)

      Michael Ernst

      2010-01-08

      As the sole Tier-1 computing facility for ATLAS in the United States and the largest ATLAS computing center worldwide Brookhaven provides a large portion of the overall computing resources for U.S. collaborators and serves as the central hub for storing,

    11. Computing environment logbook

      DOE Patents [OSTI]

      Osbourn, Gordon C; Bouchard, Ann M

      2012-09-18

      A computing environment logbook logs events occurring within a computing environment. The events are displayed as a history of past events within the logbook of the computing environment. The logbook provides search functionality to search through the history of past events to find one or more selected past events, and further, enables an undo of the one or more selected past events.

    12. COMPUTATIONAL SCIENCE CENTER

      SciTech Connect (OSTI)

      DAVENPORT, J.

      2005-11-01

      The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers. These opportunities are especially great in computational biology and nanoscience, but extend throughout science and technology and include, for example, nuclear and high energy physics, astrophysics, materials and chemical science, sustainable energy, environment, and homeland security. To achieve our goals we have established a close alliance with applied mathematicians and computer scientists at Stony Brook and Columbia Universities.

    13. Scalable optical quantum computer

      SciTech Connect (OSTI)

      Manykin, E A; Mel'nichenko, E V [Institute for Superconductivity and Solid-State Physics, Russian Research Centre 'Kurchatov Institute', Moscow (Russian Federation)

      2014-12-31

      A way of designing a scalable optical quantum computer based on the photon echo effect is proposed. Individual rare earth ions Pr{sup 3+}, regularly located in the lattice of the orthosilicate (Y{sub 2}SiO{sub 5}) crystal, are suggested to be used as optical qubits. Operations with qubits are performed using coherent and incoherent laser pulses. The operation protocol includes both the method of measurement-based quantum computations and the technique of optical computations. Modern hybrid photon echo protocols, which provide a sufficient quantum efficiency when reading recorded states, are considered as most promising for quantum computations and communications. (quantum computer)

    14. Management and Security of Personally Identifiable Information

      Broader source: Energy.gov [DOE]

      This Policy Flash transmits for your information and appropriate action the Deputy Secretary's Memorandum, Management and Security of Personally Identifiable Information, dated April 17, 2013. Further information will be transmitted as it becomes available.

    15. Department of Energy Personal Property Management Guide

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2005-12-07

      This Guide provides nonregulatory guidance and information to assist DOE organizations and contractors in implementing the DOE-wide and site-specific personal property management programs. Does not cancel other directives.

    16. A personal message from David Clark

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 2016 all issues All Issues » submit Lab's centers and institutes help develop a future workforce A personal message from David Clark, National Security Education Center Director, Los Alamos National Laboratory September 1, 2015 David Clark, National Security Education Center Director David Clark, National Security Education Center Director Contacts Community Programs

    17. A personal message from Kathy Keith

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 2016 all issues All Issues » submit Continuing the Laboratory's community partnerships and commitments A personal message from Kathy Keith, Community Programs Director, Los Alamos National Laboratory October 1, 2015 Kathy Keith, Community Programs Director Kathy Keith, Community Programs Director Contacts Community Programs Director Kathy Keith Email Editor Ute Haker

    18. A personal message from Kathy Keith

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 2016 all issues All Issues » submit Walking together in the right direction A personal message from Kathy Keith, Community Programs Director, Los Alamos National Laboratory December 1, 2015 Kathy Keith, Community Programs Director Kathy Keith, Community Programs Director Contacts Community Programs Director Kathy Keith Email Editor Ute Haker Email Kathy Keith As

    19. A personal message from Kathy Keith

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 2016 all issues All Issues » submit Expanding Partnerships for Stronger Communities A personal message from Kathy Keith, Community Programs Director, Los Alamos National Laboratory February 1, 2016 Kathy Keith, Community Programs Director Kathy Keith, Community Programs Director Contacts Community Programs Director Kathy Keith Email Editor Melinda Gutierrez Email

    20. A personal message from Kathy Keith

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 2016 all issues All Issues » submit LANS commits $2.5 million for the 2016 regional Community Commitment Plan A personal message from Kathy Keith, Community Programs Director, Los Alamos National Laboratory March 1, 2016 Kathy Keith, Community Programs Director Kathy Keith, Community Programs Director Contacts Director, Community Relations & Partnerships Kathy

    1. 2009 Energy Consumption Per Person | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      2009 Energy Consumption Per Person 2009 Energy Consumption Per Person 2009 Energy Consumption Per Person Per capita energy consumption across all sectors of the economy. Click on a state for more information.

    2. Sandia Energy - High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      High Performance Computing Home Energy Research Advanced Scientific Computing Research (ASCR) High Performance Computing High Performance Computingcwdd2015-03-18T21:41:24+00:00...

    3. A.T. Ochsner (Personal Communication, 2014) | Open Energy Information

      Open Energy Info (EERE)

      to library Personal Communication: A.T. Ochsner (Personal Communication, 2014) Authors J. Held and F. Henderson Recipient A.T. Ochsner Published 01042014 DOI Not Provided...

    4. How Do I Determine what Personal Protective Equipment (PPE) to...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Determine what Personal Protective Equipment (PPE) to Wear? Print General The ALS has a standard Personal Protective Equipment (PPE) policy that covers all activities on the...

    5. Renewable Energy Systems Tax Credit (Personal) | Department of...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Personal) Renewable Energy Systems Tax Credit (Personal) < Back Eligibility Commercial Residential Multifamily Residential Savings Category Solar - Passive Solar Water Heat Solar...

    6. Type B Accident Investigation on the February 17, 2004, Personal...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      on the February 17, 2004, Personal Injury Accident, Bettis Atomic Power Laboratory Type B Accident Investigation on the February 17, 2004, Personal Injury Accident, Bettis Atomic ...

    7. LopezPersonalProfile.pdf | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      LopezPersonalProfile.pdf PDF icon LopezPersonalProfile.pdf More Documents & Publications Wattmanbio.pdf FAQS Reference Guide - Aviation Manager FAQS Reference Guide - Aviation ...

    8. COMPUTATIONAL SCIENCE CENTER

      SciTech Connect (OSTI)

      DAVENPORT, J.

      2006-11-01

      Computational Science is an integral component of Brookhaven's multi science mission, and is a reflection of the increased role of computation across all of science. Brookhaven currently has major efforts in data storage and analysis for the Relativistic Heavy Ion Collider (RHIC) and the ATLAS detector at CERN, and in quantum chromodynamics. The Laboratory is host for the QCDOC machines (quantum chromodynamics on a chip), 10 teraflop/s computers which boast 12,288 processors each. There are two here, one for the Riken/BNL Research Center and the other supported by DOE for the US Lattice Gauge Community and other scientific users. A 100 teraflop/s supercomputer will be installed at Brookhaven in the coming year, managed jointly by Brookhaven and Stony Brook, and funded by a grant from New York State. This machine will be used for computational science across Brookhaven's entire research program, and also by researchers at Stony Brook and across New York State. With Stony Brook, Brookhaven has formed the New York Center for Computational Science (NYCCS) as a focal point for interdisciplinary computational science, which is closely linked to Brookhaven's Computational Science Center (CSC). The CSC has established a strong program in computational science, with an emphasis on nanoscale electronic structure and molecular dynamics, accelerator design, computational fluid dynamics, medical imaging, parallel computing and numerical algorithms. We have been an active participant in DOES SciDAC program (Scientific Discovery through Advanced Computing). We are also planning a major expansion in computational biology in keeping with Laboratory initiatives. Additional laboratory initiatives with a dependence on a high level of computation include the development of hydrodynamics models for the interpretation of RHIC data, computational models for the atmospheric transport of aerosols, and models for combustion and for energy utilization. The CSC was formed to bring together researchers in these areas and to provide a focal point for the development of computational expertise at the Laboratory. These efforts will connect to and support the Department of Energy's long range plans to provide Leadership class computing to researchers throughout the Nation. Recruitment for six new positions at Stony Brook to strengthen its computational science programs is underway. We expect some of these to be held jointly with BNL.

    9. Computational Earth Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nucleosynthesis (Technical Report) | SciTech Connect Computational Astrophysics Consortium 3 - Supernovae, Gamma-Ray Bursts and Nucleosynthesis Citation Details In-Document Search Title: Computational Astrophysics Consortium 3 - Supernovae, Gamma-Ray Bursts and Nucleosynthesis Final project report for UCSC's participation in the Computational Astrophysics Consortium - Supernovae, Gamma-Ray Bursts and Nucleosynthesis. As an appendix, the report of the entire Consortium is also appended.

    10. NERSC Computer Security

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Security NERSC Computer Security NERSC computer security efforts are aimed at protecting NERSC systems and its users' intellectual property from unauthorized access or modification. Among NERSC's security goal are: 1. To protect NERSC systems from unauthorized access. 2. To prevent the interruption of services to its users. 3. To prevent misuse or abuse of NERSC resources. Security Incidents If you think there has been a computer security incident you should contact NERSC Security as soon as

    11. Edison Electrifies Scientific Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Edison Electrifies Scientific Computing Edison Electrifies Scientific Computing NERSC Flips Switch on New Flagship Supercomputer January 31, 2014 Contact: Margie Wylie, mwylie@lbl.gov, +1 510 486 7421 The National Energy Research Scientific Computing (NERSC) Center recently accepted "Edison," a new flagship supercomputer designed for scientific productivity. Named in honor of American inventor Thomas Alva Edison, the Cray XC30 will be dedicated in a ceremony held at the Department of

    12. Computer Architecture Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      FastForward CAL Partnerships Shifter: User Defined Images Archive APEX Home » R & D » Exascale Computing » CAL Computer Architecture Lab The goal of the Computer Architecture Laboratory (CAL) is engage in research and development into energy efficient and effective processor and memory architectures for DOE's Exascale program. CAL coordinates hardware architecture R&D activities across the DOE. CAL is a joint NNSA/SC activity involving Sandia National Laboratories (CAL-Sandia) and

    13. Applied Computer Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and ...

    14. Computational Physics and Methods

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... for use in Advanced Strategic Computing codes Theory and modeling of dense plasmas in ICF and astrophysics environments Theory and modeling of astrophysics in support of NASA ...

    15. 60 Years of Computing | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      60 Years of Computing 60 Years of Computing

    16. Information Science, Computing, Applied Math

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science ...

    17. ELECTRONIC DIGITAL COMPUTER

      DOE Patents [OSTI]

      Stone, J.J. Jr.; Bettis, E.S.; Mann, E.R.

      1957-10-01

      The electronic digital computer is designed to solve systems involving a plurality of simultaneous linear equations. The computer can solve a system which converges rather rapidly when using Von Seidel's method of approximation and performs the summations required for solving for the unknown terms by a method of successive approximations.

    18. Theory, Simulation, and Computation

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ADTSC Theory, Simulation, and Computation Supporting the Laboratory's overarching strategy to provide cutting-edge tools to guide and interpret experiments and further our fundamental understanding and predictive capabilities for complex systems. Theory, modeling, informatics Suites of experiment data High performance computing, simulation, visualization Contacts Associate Director John Sarrao Deputy Associate Director Paul Dotson Directorate Office (505) 667-6645 Email Applying the Scientific

    19. Computer Processor Allocator

      Energy Science and Technology Software Center (OSTI)

      2004-03-01

      The Compute Processor Allocator (CPA) provides an efficient and reliable mechanism for managing and allotting processors in a massively parallel (MP) computer. It maintains information in a database on the health. configuration and allocation of each processor. This persistent information is factored in to each allocation decision. The CPA runs in a distributed fashion to avoid a single point of failure.

    20. Indirection and computer security.

      SciTech Connect (OSTI)

      Berg, Michael J.

      2011-09-01

      The discipline of computer science is built on indirection. David Wheeler famously said, 'All problems in computer science can be solved by another layer of indirection. But that usually will create another problem'. We propose that every computer security vulnerability is yet another problem created by the indirections in system designs and that focusing on the indirections involved is a better way to design, evaluate, and compare security solutions. We are not proposing that indirection be avoided when solving problems, but that understanding the relationships between indirections and vulnerabilities is key to securing computer systems. Using this perspective, we analyze common vulnerabilities that plague our computer systems, consider the effectiveness of currently available security solutions, and propose several new security solutions.

    1. PIA - Human Resources - Personal Information Change Request - Idaho

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      National Engineering Laboratory | Department of Energy - Personal Information Change Request - Idaho National Engineering Laboratory PIA - Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory PIA - Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory PDF icon PIA - Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory More Documents & Publications PIA - INL PeopleSoft

    2. Managing turbine-generator outages by computer

      SciTech Connect (OSTI)

      Reinhart, E.R. [Reinhart and Associates, Inc., Austin, TX (United States)

      1997-09-01

      This article describes software being developed to address the need for computerized planning and documentation programs that can help manage outages. Downsized power-utility companies and the growing demand for independent, competitive engineering and maintenance services have created a need for a computer-assisted planning and technical-direction program for turbine-generator outages. To meet this need, a software tool is now under development that can run on a desktop or laptop personal computer to assist utility personnel and technical directors in outage planning. Total Outage Planning Software (TOPS), which runs on Windows, takes advantage of the mass data storage available with compact-disc technology by archiving the complete outage documentation on CD. Previous outage records can then be indexed, searched, and viewed on a computer with the click of a mouse. Critical-path schedules, parts lists, parts order tracking, work instructions and procedures, custom data sheets, and progress reports can be generated by computer on-site during an outage.

    3. Computers as tools

      SciTech Connect (OSTI)

      Eriksson, I.V.

      1994-12-31

      The following message was recently posted on a bulletin board and clearly shows the relevance of the conference theme: {open_quotes}The computer and digital networks seem poised to change whole regions of human activity -- how we record knowledge, communicate, learn, work, understand ourselves and the world. What`s the best framework for understanding this digitalization, or virtualization, of seemingly everything? ... Clearly, symbolic tools like the alphabet, book, and mechanical clock have changed some of our most fundamental notions -- self, identity, mind, nature, time, space. Can we say what the computer, a purely symbolic {open_quotes}machine,{close_quotes} is doing to our thinking in these areas? Or is it too early to say, given how much more powerful and less expensive the technology seems destinated to become in the next few decades?{close_quotes} (Verity, 1994) Computers certainly affect our lives and way of thinking but what have computers to do with ethics? A narrow approach would be that on the one hand people can and do abuse computer systems and on the other hand people can be abused by them. Weli known examples of the former are computer comes such as the theft of money, services and information. The latter can be exemplified by violation of privacy, health hazards and computer monitoring. Broadening the concept from computers to information systems (ISs) and information technology (IT) gives a wider perspective. Computers are just the hardware part of information systems which also include software, people and data. Information technology is the concept preferred today. It extends to communication, which is an essential part of information processing. Now let us repeat the question: What has IT to do with ethics? Verity mentioned changes in {open_quotes}how we record knowledge, communicate, learn, work, understand ourselves and the world{close_quotes}.

    4. Department of Energy Personal Property Management Program

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2010-11-11

      DOE Order 580.1, initially issued December 2005 and revised in May 2008, provides Department-level requirements and performance expectations for proper accountability and management of personal property owned by the Department of Energy (DOE), whether in the hands of the Federal government or the contractor.

    5. Present and Future Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Important for DOE Energy Frontier Mission 2 * TH HEP is new ... & PDSF (studies based on usage for end of Sep 2012 - Nov ... framework (Sherpa), and a library for the computation of ...

    6. Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      a n n u a l r e p o r t 2 0 1 2 Argonne Leadership Computing Facility Director's Message .............................................................................................................................1 About ALCF ......................................................................................................................................... 2 IntroDuCIng MIrA Introducing Mira

    7. Cloud computing security.

      SciTech Connect (OSTI)

      Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.

      2010-10-01

      Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for both academia and government, including configuration options, hardware issues, challenges, and solutions.

    8. Quantum steady computation

      SciTech Connect (OSTI)

      Castagnoli, G. )

      1991-08-10

      This paper reports that current conceptions of quantum mechanical computers inherit from conventional digital machines two apparently interacting features, machine imperfection and temporal development of the computational process. On account of machine imperfection, the process would become ideally reversible only in the limiting case of zero speed. Therefore the process is irreversible in practice and cannot be considered to be a fundamental quantum one. By giving up classical features and using a linear, reversible and non-sequential representation of the computational process - not realizable in classical machines - the process can be identified with the mathematical form of a quantum steady state. This form of steady quantum computation would seem to have an important bearing on the notion of cognition.

    9. Edison Electrifies Scientific Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Deployment of Edison was made possible in part by funding from DOE's Office of Science and the DARPA High Productivity Computing Systems program. DOE's Office of Science is the ...

    10. Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Argonne National Laboratory | 9700 South Cass Avenue | Argonne, IL 60439 | www.anl.gov | September 2013 alcf_keyfacts_fs_0913 Key facts about the Argonne Leadership Computing Facility User support and services Skilled experts at the ALCF enable researchers to conduct breakthrough science on the Blue Gene system in key ways. Catalysts are computational scientist with domain expertise and work directly with project principal investigators to maximize discovery and reduce time-to- solution.

    11. New TRACC Cluster Computer

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      TRACC Cluster Computer With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD 16 core, 2.3 GHz, 32 GB processors. See also Computing Resources.

    12. Computational Modeling | Bioenergy | NREL

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Modeling NREL uses computational modeling to increase the efficiency of biomass conversion by rational design using multiscale modeling, applying theoretical approaches, and testing scientific hypotheses. model of enzymes wrapping on cellulose; colorful circular structures entwined through blue strands Cellulosomes are complexes of protein scaffolds and enzymes that are highly effective in decomposing biomass. This is a snapshot of a coarse-grain model of complex cellulosome

    13. Computational Physics and Methods

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      2 Computational Physics and Methods Performing innovative simulations of physics phenomena on tomorrow's scientific computing platforms Growth and emissivity of young galaxy hosting a supermassive black hole as calculated in cosmological code ENZO and post-processed with radiative transfer code AURORA. image showing detailed turbulence simulation, Rayleigh-Taylor Turbulence imaging: the largest turbulence simulations to date Advanced multi-scale modeling Turbulence datasets Density iso-surfaces

    14. Advanced Simulation and Computing

      National Nuclear Security Administration (NNSA)

      NA-ASC-117R-09-Vol.1-Rev.0 Advanced Simulation and Computing PROGRAM PLAN FY09 October 2008 ASC Focal Point Robert Meisner, Director DOE/NNSA NA-121.2 202-586-0908 Program Plan Focal Point for NA-121.2 Njema Frazier DOE/NNSA NA-121.2 202-586-5789 A Publication of the Office of Advanced Simulation & Computing, NNSA Defense Programs i Contents Executive Summary ----------------------------------------------------------------------------------------------- 1 I. Introduction

    15. Computing | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Computing Computing Fun fact: Most systems require air conditioning or chilled water to cool super powerful supercomputers, but the Olympus supercomputer at Pacific Northwest National Laboratory is cooled by the location's 65 degree groundwater. Traditional cooling systems could cost up to $61,000 in electricity each year, but this more efficient setup uses 70 percent less energy. | Photo courtesy of PNNL. Fun fact: Most systems require air conditioning or chilled water to cool super powerful

    16. Compute Reservation Request Form

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Compute Reservation Request Form Compute Reservation Request Form Users can request a scheduled reservation of machine resources if their jobs have special needs that cannot be accommodated through the regular batch system. A reservation brings some portion of the machine to a specific user or project for an agreed upon duration. Typically this is used for interactive debugging at scale or real time processing linked to some experiment or event. It is not intended to be used to guarantee fast

    17. Applied Computer Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable scientific simulations at extreme scale Leadership Group Leader Linn Collins Email Deputy Group Leader (Acting) Bryan Lally Email Climate modeling visualization Results from a climate simulation computed using the Model for Prediction Across Scales (MPAS) code. This visualization shows the temperature of ocean currents using a green and blue color scale. These colors were

    18. Intro to computer programming, no computer required! | Argonne...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... "Computational thinking requires you to think in abstractions," said Papka, who spoke to computer science and computer-aided design students at Kaneland High School in Maple Park about ...

    19. computing | National Nuclear Security Administration

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      computing NNSA Announces Procurement of Penguin Computing Clusters to Support Stockpile Stewardship at National Labs The National Nuclear Security Administration's (NNSA's) Lawrence Livermore National Laboratory today announced the awarding of a subcontract to Penguin Computing - a leading developer of high-performance Linux cluster computing systems based in Silicon Valley - to bolster computing for stockpile

    20. Can Cloud Computing Address the Scientific Computing Requirements for DOE

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Researchers? Well, Yes, No and Maybe Can Cloud Computing Address the Scientific Computing Requirements for DOE Researchers? Well, Yes, No and Maybe Can Cloud Computing Address the Scientific Computing Requirements for DOE Researchers? Well, Yes, No and Maybe January 30, 2012 Jon Bashor, Jbashor@lbl.gov, +1 510-486-5849 Magellan1.jpg Magellan at NERSC After a two-year study of the feasibility of cloud computing systems for meeting the ever-increasing computational needs of scientists,

    1. Parallel Computing Environments and Methods for Power Distribution System Simulation

      SciTech Connect (OSTI)

      Lu, Ning; Taylor, Zachary T.; Chassin, David P.; Guttromson, Ross T.; Studham, Scott S.

      2005-11-10

      The development of cost-effective high-performance parallel computing on multi-processor super computers makes it attractive to port excessively time consuming simulation software from personal computers (PC) to super computes. The power distribution system simulator (PDSS) takes a bottom-up approach and simulates load at appliance level, where detailed thermal models for appliances are used. This approach works well for a small power distribution system consisting of a few thousand appliances. When the number of appliances increases, the simulation uses up the PC memory and its run time increases to a point where the approach is no longer feasible to model a practical large power distribution system. This paper presents an effort made to port a PC-based power distribution system simulator (PDSS) to a 128-processor shared-memory super computer. The paper offers an overview of the parallel computing environment and a description of the modification made to the PDSS model. The performances of the PDSS running on a standalone PC and on the super computer are compared. Future research direction of utilizing parallel computing in the power distribution system simulation is also addressed.

    2. in High Performance Computing Computer System, Cluster, and Networking...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      iSSH v. Auditd: Intrusion Detection in High Performance Computing Computer System, Cluster, and Networking Summer Institute David Karns, New Mexico State University Katy Protin,...

    3. Extensible Computational Chemistry Environment

      Energy Science and Technology Software Center (OSTI)

      2012-08-09

      ECCE provides a sophisticated graphical user interface, scientific visualization tools, and the underlying data management framework enabling scientists to efficiently set up calculations and store, retrieve, and analyze the rapidly growing volumes of data produced by computational chemistry studies. ECCE was conceived as part of the Environmental Molecular Sciences Laboratory construction to solve the problem of researchers being able to effectively utilize complex computational chemistry codes and massively parallel high performance compute resources. Bringing themore » power of these codes and resources to the desktops of researcher and thus enabling world class research without users needing a detailed understanding of the inner workings of either the theoretical codes or the supercomputers needed to run them was a grand challenge problem in the original version of the EMSL. ECCE allows collaboration among researchers using a web-based data repository where the inputs and results for all calculations done within ECCE are organized. ECCE is a first of kind end-to-end problem solving environment for all phases of computational chemistry research: setting up calculations with sophisticated GUI and direct manipulation visualization tools, submitting and monitoring calculations on remote high performance supercomputers without having to be familiar with the details of using these compute resources, and performing results visualization and analysis including creating publication quality images. ECCE is a suite of tightly integrated applications that are employed as the user moves through the modeling process.« less

    4. Microsoft Word - BPA Personal Property.doc

      Energy Savers [EERE]

      U.S. Department of Energy Office of Inspector General Office of Audit Services Audit Report Management Controls over the Bonneville Power Administration's Personal Property Accountability OAS-M-08-01 October 2007 Department of Energy vvasnlngron, UL LUSU:, October 1 , 2007 MEMORANDUM FOR TQ-YADMINISTRATOR, BONNEVILLE POWER ADNIINISTRATION [?L&& < / ( ' F'IIOM. or" Collard / Assistant Inspector General for Performance Audits Office of Inspector General INFORMATION: Audit Report

    5. Personal Annunciation Device - Energy Innovation Portal

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Find More Like This Return to Search Personal Annunciation Device Y-12 National Security Complex Contact Y12 About This Technology Publications: PDF Document Publication Fact Sheet (1,819 KB) PDF Document Publication Patent (275 KB) The PAD has concurrent alarms, displays building information and alarm status, and contains embedded &ldquo;intelligence&rdquo; for enhanced reliability. The PAD has concurrent alarms, displays building information and alarm status, and contains embedded

    6. Information Science, Computing, Applied Math

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Information Science, Computing, Applied Math /science-innovation/_assets/images/icon-science.jpg Information Science, Computing, Applied Math National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Computer, Computational, and Statistical Sciences (CCS)» High Performance Computing (HPC)» Extreme Scale Computing, Co-design» supercomputing

    7. Careers | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      At the Argonne Leadership Computing Facility, we are helping to redefine what's possible in computational science. With some of the most powerful supercomputers in the world and a ...

    8. Computer simulation | Open Energy Information

      Open Energy Info (EERE)

      Computer simulation Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Computer simulation Author wikipedia Published wikipedia, 2013 DOI Not Provided...

    9. Super recycled water: quenching computers

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Super recycled water: quenching computers Super recycled water: quenching computers New facility and methods support conserving water and creating recycled products. Using reverse ...

    10. NREL: Computational Science Home Page

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      high-performance computing, computational science, applied mathematics, scientific data management, visualization, and informatics. NREL is home to the largest high performance...

    11. computers | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

      Sandia donates 242 computers to northern California schools Sandia National Laboratories electronics technologist Mitch Williams prepares the disassembly of 242 computers for ...

    12. Human-computer interface

      DOE Patents [OSTI]

      Anderson, Thomas G.

      2004-12-21

      The present invention provides a method of human-computer interfacing. Force feedback allows intuitive navigation and control near a boundary between regions in a computer-represented space. For example, the method allows a user to interact with a virtual craft, then push through the windshield of the craft to interact with the virtual world surrounding the craft. As another example, the method allows a user to feel transitions between different control domains of a computer representation of a space. The method can provide for force feedback that increases as a user's locus of interaction moves near a boundary, then perceptibly changes (e.g., abruptly drops or changes direction) when the boundary is traversed.

    13. Recommending personally interested contents by text mining, filtering, and interfaces

      DOE Patents [OSTI]

      Xu, Songhua

      2015-10-27

      A personalized content recommendation system includes a client interface device configured to monitor a user's information data stream. A collaborative filter remote from the client interface device generates automated predictions about the interests of the user. A database server stores personal behavioral profiles and user's preferences based on a plurality of monitored past behaviors and an output of the collaborative user personal interest inference engine. A programmed personal content recommendation server filters items in an incoming information stream with the personal behavioral profile and identifies only those items of the incoming information stream that substantially matches the personal behavioral profile. The identified personally relevant content is then recommended to the user following some priority that may consider the similarity between the personal interest matches, the context of the user information consumption behaviors that may be shown by the user's content consumption mode.

    14. Recommending personally interested contents by text mining, filtering, and interfaces

      DOE Patents [OSTI]

      xu, Songhua

      2015-11-05

      A personalized content recommendation system includes a client interface device configured to monitor a user's information data stream. A collaborative filter remote from the client interface device generates automated predictions about the interests of the user. A database server stores personal behavioral profiles and user's preferences based on a plurality of monitored past behaviors and an output of the collaborative user personal interest inference engine. A programmed personal content recommendation server filters items in an incoming information stream with the personal behavioral profile and identifies only those items of the incoming information stream that substantially matches the personal behavioral profile. The identified personally relevant content is then recommended to the user following some priority that may consider the similarity between the personal interest matches, the context of the user information consumption behaviors that may be shown by the user's content consumption mode.

    15. Synchronizing compute node time bases in a parallel computer

      DOE Patents [OSTI]

      Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip

      2015-01-27

      Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.

    16. Synchronizing compute node time bases in a parallel computer

      DOE Patents [OSTI]

      Chen, Dong; Faraj, Daniel A; Gooding, Thomas M; Heidelberger, Philip

      2014-12-30

      Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.

    17. Briefing, For Persons With Access to UCNI- June 2014

      Broader source: Energy.gov [DOE]

      Briefing provides information on Unclassified Controlled Nuclear Information (UCNI) and for persons who have access to UCNI.

    18. MHD computations for stellarators

      SciTech Connect (OSTI)

      Johnson, J.L.

      1985-12-01

      Considerable progress has been made in the development of computational techniques for studying the magnetohydrodynamic equilibrium and stability properties of three-dimensional configurations. Several different approaches have evolved to the point where comparison of results determined with different techniques shows good agreement. 55 refs., 7 figs.

    19. Computer Security Risk Assessment

      Energy Science and Technology Software Center (OSTI)

      1992-02-11

      LAVA/CS (LAVA for Computer Security) is an application of the Los Alamos Vulnerability Assessment (LAVA) methodology specific to computer and information security. The software serves as a generic tool for identifying vulnerabilities in computer and information security safeguards systems. Although it does not perform a full risk assessment, the results from its analysis may provide valuable insights into security problems. LAVA/CS assumes that the system is exposed to both natural and environmental hazards and tomore » deliberate malevolent actions by either insiders or outsiders. The user in the process of answering the LAVA/CS questionnaire identifies missing safeguards in 34 areas ranging from password management to personnel security and internal audit practices. Specific safeguards protecting a generic set of assets (or targets) from a generic set of threats (or adversaries) are considered. There are four generic assets: the facility, the organization''s environment; the hardware, all computer-related hardware; the software, the information in machine-readable form stored both on-line or on transportable media; and the documents and displays, the information in human-readable form stored as hard-copy materials (manuals, reports, listings in full-size or microform), film, and screen displays. Two generic threats are considered: natural and environmental hazards, storms, fires, power abnormalities, water and accidental maintenance damage; and on-site human threats, both intentional and accidental acts attributable to a perpetrator on the facility''s premises.« less

    20. Personal Property Management Program Brochure | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Management Program Brochure Personal Property Management Program Brochure PDF icon Personal Property Management Program Brochure More Documents & Publications Personal Property Briefings Department of Energy Acquisition Regulation (DEAR) Final Rule for changes to Parts 908, 945, 952, and 970 regarding Government Property COMMENTS&#0;

    1. Sandia National Laboratories: Careers: Computer Science

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced software research & development Collaborative technologies Computational science and mathematics High-performance computing Visualization and scientific computing Advanced ...

    2. Extreme Scale Computing, Co-design

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Information Science, Computing, Applied Math Extreme Scale Computing, Co-design Extreme Scale Computing, Co-design Computational co-design may facilitate revolutionary designs ...

    3. SCC: The Strategic Computing Complex

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      SCC: The Strategic Computing Complex SCC: The Strategic Computing Complex The Strategic Computing Complex (SCC) is a secured supercomputing facility that supports the calculation, modeling, simulation, and visualization of complex nuclear weapons data in support of the Stockpile Stewardship Program. The 300,000-square-foot, vault-type building features an unobstructed 43,500-square-foot computer room, which is an open room about three-fourths the size of a football field. The Strategic Computing

    4. Magellan: A Cloud Computing Testbed

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Magellan News & Announcements Archive Petascale Initiative Exascale Computing APEX Home » R & D » Archive » Magellan: A Cloud Computing Testbed Magellan: A Cloud Computing Testbed Cloud computing is gaining a foothold in the business world, but can clouds meet the specialized needs of scientists? That was one of the questions NERSC's Magellan cloud computing testbed explored between 2009 and 2011. The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Oce

    5. Software and High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Software and High Performance Computing Software and High Performance Computing Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of strategic national interest Contact thumbnail of Kathleen McDonald Head of Intellectual Property, Business Development Executive Kathleen McDonald Richard P. Feynman Center for Innovation (505) 667-5844 Email Software Computational physics, computer science, applied mathematics, statistics and the

    6. Computer Algebra System

      Energy Science and Technology Software Center (OSTI)

      1992-05-04

      DOE-MACSYMA (Project MAC''s SYmbolic MAnipulation system) is a large computer programming system written in LISP. With DOE-MACSYMA the user can differentiate, integrate, take limits, solve systems of linear or polynomial equations, factor polynomials, expand functions in Laurent or Taylor series, solve differential equations (using direct or transform methods), compute Poisson series, plot curves, and manipulate matrices and tensors. A language similar to ALGOL-60 permits users to write their own programs for transforming symbolic expressions. Franzmore » Lisp OPUS 38 provides the environment for the Encore, Celerity, and DEC VAX11 UNIX,SUN(OPUS) versions under UNIX and the Alliant version under Concentrix. Kyoto Common Lisp (KCL) provides the environment for the SUN(KCL),Convex, and IBM PC under UNIX and Data General under AOS/VS.« less

    7. Exploratory Experimentation and Computation

      SciTech Connect (OSTI)

      Bailey, David H.; Borwein, Jonathan M.

      2010-02-25

      We believe the mathematical research community is facing a great challenge to re-evaluate the role of proof in light of recent developments. On one hand, the growing power of current computer systems, of modern mathematical computing packages, and of the growing capacity to data-mine on the Internet, has provided marvelous resources to the research mathematician. On the other hand, the enormous complexity of many modern capstone results such as the Poincare conjecture, Fermat's last theorem, and the classification of finite simple groups has raised questions as to how we can better ensure the integrity of modern mathematics. Yet as the need and prospects for inductive mathematics blossom, the requirement to ensure the role of proof is properly founded remains undiminished.

    8. computational fluid dynamics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      computational fluid dynamics - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs

    9. GPU Computational Screening

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      GPU Computational Screening of Carbon Capture Materials J. Kim 1 , A Koniges 1 , R. Martin 1 , M. Haranczyk 1 , J. Swisher 2 , and B. Smit 1,2 1 Lawrence Berkeley National Laboratory, Berkeley, CA 94720 2 Department of Chemical Engineering, University of California, Berkeley, Berkeley, CA 94720 E-mail: jihankim@lbl.gov Abstract. In order to reduce the current costs associated with carbon capture technologies, novel materials such as zeolites and metal-organic frameworks that are based on

    10. Cloud Computing Services

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Services - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

    11. Development of computer graphics

      SciTech Connect (OSTI)

      Nuttall, H.E.

      1989-07-01

      The purpose of this project was to screen and evaluate three graphics packages as to their suitability for displaying concentration contour graphs. The information to be displayed is from computer code simulations describing air-born contaminant transport. The three evaluation programs were MONGO (John Tonry, MIT, Cambridge, MA, 02139), Mathematica (Wolfram Research Inc.), and NCSA Image (National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign). After a preliminary investigation of each package, NCSA Image appeared to be significantly superior for generating the desired concentration contour graphs. Hence subsequent work and this report describes the implementation and testing of NCSA Image on both an Apple MacII and Sun 4 computers. NCSA Image includes several utilities (Layout, DataScope, HDF, and PalEdit) which were used in this study and installed on Dr. Ted Yamada`s Mac II computer. Dr. Yamada provided two sets of air pollution plume data which were displayed using NCSA Image. Both sets were animated into a sequential expanding plume series.

    12. Computing for Finance

      SciTech Connect (OSTI)

      2010-03-24

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing – from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege of being a summer student at CERN.3. Opportunities for gLite in finance and related industriesAdam Vile, Head of Grid, HPC and Technical Computing, Excelian Ltd.gLite, the Grid software developed by the EGEE project, has been exceedingly successful as an enabling infrastructure, and has been a massive success in bringing together scientific and technical communities to provide the compute power to address previously incomputable problems. Not so in the finance industry. In its current form gLite would be a business disabler. There are other middleware tools that solve the finance communities compute problems much better. Things are moving on, however. There are moves afoot in the open source community to evolve the technology to address other, more sophisticated needs such as utility and interactive computing. In this talk, I will describe how Excelian is providing Grid consultancy services for the finance community and how, through its relationship to the EGEE project, Excelian is helping to identify and exploit opportunities as the research and business worlds converge. Because of the strong third party presence in the finance industry, such opportunities are few and far between, but they are there, especially as we expand sideways into related verticals such as the smaller hedge funds and energy companies. This talk will give an overview of the barriers to adoption of gLite in the finance industry and highlight some of the opportunities offered in this and related industries as the ideas around Grid mature. Speaker Bio: Dr Adam Vile is a senior consultant and head of the Grid and HPC practice at Excelian, a consultancy that focuses on financial markets professional services. He has spent many years in investment banking, as a developer, project manager and architect in both front and back office. Before joining Excelian he was senior Grid and HPC architect at Barclays Capital. Prior to joining investment banking, Adam spent a number of years lecturing in IT and mathematics at a UK University and maintains links with academia through lectures, research and through validation and steering of postgraduate courses. He is a chartered mathematician and was the conference chair of the Institute of Mathematics and its Applications first conference in computational Finance.4. From Monte Carlo to Wall Street Daniel Egloff, Head of Financial Engineering Computing Unit, Zürich Cantonal Bank High performance computing techniques provide new means to solve computationally hard problems in the financial service industry. First I consider Monte Carlo simulation and illustrate how it can be used to implement a sophisticated credit risk management and economic capital framework. From a HPC perspective, basic Monte Carlo simulation is embarrassingly parallel and can be implemented efficiently on distributed memory clusters. Additional difficulties arise for adaptive variance reduction schemes, if the information content in a sample is very small, and if the amount of simulated date becomes huge such that incremental processing algorithms are indispensable. We discuss the business value of an advanced credit risk quantification which is particularly compelling in these days. While Monte Carlo simulation is a very versatile tool it is not always the preferred solution for the pricing of complex products like multi asset options, structured products, or credit derivatives. As a second application I show how operator methods can be used to develop a pricing framework. The scalability of operator methods relies heavily on optimized dense matrix-matrix multiplications and requires specialized BLAS level-3 implementations provided by specialized FPGA or GPU boards. Speaker Bio: Daniel Egloff studied mathematics, theoretical physics, and computer science at the University of Zurich and the ETH Zurich. He holds a PhD in Mathematics from University of Fribourg, Switzerland. After his PhD he started to work for a large Swiss insurance company in the area of asset and liability management. He continued his professional career in the consulting industry. At KPMG and Arthur Andersen he consulted international clients and implemented quantitative risk management solutions for financial institutions and insurance companies. In 2002 he joined Zurich Cantonal Bank. He was assigned to develop and implement credit portfolio risk and economic capital methodologies. He built up a competence center for high performance and cluster computing. Currently, Daniel Egloff is heading the Financial Computing unit in the ZKB Financial Engineering division. He and his team is engineering and operating high performance cluster applications for computationally intensive problems in financial risk management.

    13. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege of being a summer student at CERN.3. Opportunities for gLite in finance and related industriesAdam Vile, Head of Grid, HPC and Technical Computing, Excelian Ltd.gLite, the Grid software developed by the EGEE project, has been exceedingly successful as an enabling infrastructure, and has been a massive success in bringing together scientific and technical communities to provide the compute power to address previously incomputable problems. Not so in the finance industry. In its current form gLite would be a business disabler. There are other middleware tools that solve the finance communities compute problems much better. Things are moving on, however. There are moves afoot in the open source community to evolve the technology to address other, more sophisticated needs such as utility and interactive computing. In this talk, I will describe how Excelian is providing Grid consultancy services for the finance community and how, through its relationship to the EGEE project, Excelian is helping to identify and exploit opportunities as the research and business worlds converge. Because of the strong third party presence in the finance industry, such opportunities are few and far between, but they are there, especially as we expand sideways into related verticals such as the smaller hedge funds and energy companies. This talk will give an overview of the barriers to adoption of gLite in the finance industry and highlight some of the opportunities offered in this and related industries as the ideas around Grid mature. Speaker Bio: Dr Adam Vile is a senior consultant and head of the Grid and HPC practice at Excelian, a consultancy that focuses on financial markets professional services. He has spent many years in investment banking, as a developer, project manager and architect in both front and back office. Before joining Excelian he was senior Grid and HPC architect at Barclays Capital. Prior to joining investment banking, Adam spent a number of years lecturing in IT and mathematics at a UK University and maintains links with academia through lectures, research and through validation and steering of postgraduate courses. He is a chartered mathematician and was the conference chair of the Institute of Mathematics and its Applications first conference in computational Finance.4. From Monte Carlo to Wall Street Daniel Egloff, Head of Financial Engineering Computing Unit, Zürich Cantonal Bank High performance computing techniques provide new means to solve computationally hard problems in the financial service industry. First I consider Monte Carlo simulation and illustrate how it can be used to implement a sophisticated credit risk management and economic capital framework. From a HPC perspective, basic Monte Carlo simulation is embarrassingly parallel and can be implemented efficiently on distributed memory clusters. Additional difficulties arise for adaptive variance reduction schemes, if the information content in a sample is very small, and if the amount of simulated date becomes huge such that incremental processing algorithms are indispensable. We discuss the business value of an advanced credit risk quantification which is particularly compelling in these days. While Monte Carlo simulation is a very versatile tool it is not always the preferred solution for the pricing of complex products like multi asset options, structured products, or credit derivatives. As a second application I show how operator methods can be used to develop a pricing framework. The scalability of operator methods relies heavily on optimized dense matrix-matrix multiplications and requires specialized BLAS level-3 implementations provided by specialized FPGA or GPU boards. Speaker Bio: Daniel Egloff studied mathematics, theoretical physics, and computer science at the University of Zurich and the ETH Zurich. He holds a PhD in Mathematics from University of Fribourg, Switzerland. After his PhD he started to work for a large Swiss insurance company in the area of asset and liability management. He continued his professional career in the consulting industry. At KPMG and Arthur Andersen he consulted international clients and implemented quantitative risk management solutions for financial institutions and insurance companies. In 2002 he joined Zurich Cantonal Bank. He was assigned to develop and implement credit portfolio risk and economic capital methodologies. He built up a competence center for high performance and cluster computing. Currently, Daniel Egloff is heading the Financial Computing unit in the ZKB Financial Engineering division. He and his team is engineering and operating high performance cluster applications for computationally intensive problems in financial risk management.

    14. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege of being a summer student at CERN.3. Opportunities for gLite in finance and related industriesAdam Vile, Head of Grid, HPC and Technical Computing, Excelian Ltd.gLite, the Grid software developed by the EGEE project, has been exceedingly successful as an enabling infrastructure, and has been a massive success in bringing together scientific and technical communities to provide the compute power to address previously incomputable problems. Not so in the finance industry. In its current form gLite would be a business disabler. There are other middleware tools that solve the finance communities compute problems much better. Things are moving on, however. There are moves afoot in the open source community to evolve the technology to address other, more sophisticated needs such as utility and interactive computing. In this talk, I will describe how Excelian is providing Grid consultancy services for the finance community and how, through its relationship to the EGEE project, Excelian is helping to identify and exploit opportunities as the research and business worlds converge. Because of the strong third party presence in the finance industry, such opportunities are few and far between, but they are there, especially as we expand sideways into related verticals such as the smaller hedge funds and energy companies. This talk will give an overview of the barriers to adoption of gLite in the finance industry and highlight some of the opportunities offered in this and related industries as the ideas around Grid mature. Speaker Bio: Dr Adam Vile is a senior consultant and head of the Grid and HPC practice at Excelian, a consultancy that focuses on financial markets professional services. He has spent many years in investment banking, as a developer, project manager and architect in both front and back office. Before joining Excelian he was senior Grid and HPC architect at Barclays Capital. Prior to joining investment banking, Adam spent a number of years lecturing in IT and mathematics at a UK University and maintains links with academia through lectures, research and through validation and steering of postgraduate courses. He is a chartered mathematician and was the conference chair of the Institute of Mathematics and its Applications first conference in computational Finance.4. From Monte Carlo to Wall Street Daniel Egloff, Head of Financial Engineering Computing Unit, Zrich Cantonal Bank High performance computing techniques provide new means to solve computationally hard problems in the financial service industry. First I consider Monte Carlo simulation and illustrate how it can be used to implement a sophisticated credit risk management and economic capital framework. From a HPC perspective, basic Monte Carlo simulation is embarrassingly parallel and can be implemented efficiently on distributed memory clusters. Additional difficulties arise for adaptive variance reduction schemes, if the information content in a sample is very small, and if the amount of simulated date becomes huge such that incremental processing algorithms are indispensable. We discuss the business value of an advanced credit risk quantification which is particularly compelling in these days. While Monte Carlo simulation is a very versatile tool it is not always the preferred solution for the pricing of complex products like multi asset options, structured products, or credit derivatives. As a second application I show how operator methods can be used to develop a pricing framework. The scalability of operator methods relies heavily on optimized dense matrix-matrix multiplications and requires specialized BLAS level-3 implementations provided by specialized FPGA or GPU boards. Speaker Bio: Daniel Egloff studied mathematics, theoretical physics, and computer science at the University of Zurich and the ETH Zurich. He holds a PhD in Mathematics from University of Fribourg, Switzerland. After his PhD he started to work for a large Swiss insurance company in the area of asset and liability management. He continued his professional career in the consulting industry. At KPMG and Arthur Andersen he consulted international clients and implemented quantitative risk management solutions for financial institutions and insurance companies. In 2002 he joined Zurich Cantonal Bank. He was assigned to develop and implement credit portfolio risk and economic capital methodologies. He built up a competence center for high performance and cluster computing. Currently, Daniel Egloff is heading the Financial Computing unit in the ZKB Financial Engineering division. He and his team is engineering and operating high performance cluster applications for computationally intensive problems in financial risk management.

    15. High Performance Computing at the Oak Ridge Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      High Performance Computing at the Oak Ridge Leadership Computing Facility Go to Menu Page 2 Outline * Our Mission * Computer Systems: Present, Past, Future * Challenges Along the Way * Resources for Users Go to Menu Page 3 Our Mission Go to Menu Page 4 * World's most powerful computing facility * Nation's largest concentration of open source materials research * $1.3B budget * 4,250 employees * 3,900 research guests annually * $350 million invested in modernization * Nation's most diverse energy

    16. The design of a scalable, fixed-time computer benchmark

      SciTech Connect (OSTI)

      Gustafson, J.; Rover, D.; Elbert, S.; Carter, M.

      1990-10-01

      By using the principle of fixed time benchmarking, it is possible to compare a very wide range of computers, from a small personal computer to the most powerful parallel supercomputer, an a single scale. Fixed-time benchmarks promise far greater longevity than those based on a particular problem size, and are more appropriate for grand challenge'' capability comparison. We present the design of a benchmark, SLALOM{trademark}, that scales automatically to the computing power available, and corrects several deficiencies in various existing benchmarks: it is highly scalable, it solves a real problem, it includes input and output times, and it can be run on parallel machines of all kinds, using any convenient language. The benchmark provides a reasonable estimate of the size of problem solvable on scientific computers. Results are presented that span six orders of magnitude for contemporary computers of various architectures. The benchmarks also can be used to demonstrate a new source of superlinear speedup in parallel computers. 15 refs., 14 figs., 3 tabs.

    17. Computational Electronics and Electromagnetics

      SciTech Connect (OSTI)

      DeFord, J.F.

      1993-03-01

      The Computational Electronics and Electromagnetics thrust area is a focal point for computer modeling activities in electronics and electromagnetics in the Electronics Engineering Department of Lawrence Livermore National Laboratory (LLNL). Traditionally, they have focused their efforts in technical areas of importance to existing and developing LLNL programs, and this continues to form the basis for much of their research. A relatively new and increasingly important emphasis for the thrust area is the formation of partnerships with industry and the application of their simulation technology and expertise to the solution of problems faced by industry. The activities of the thrust area fall into three broad categories: (1) the development of theoretical and computational models of electronic and electromagnetic phenomena, (2) the development of useful and robust software tools based on these models, and (3) the application of these tools to programmatic and industrial problems. In FY-92, they worked on projects in all of the areas outlined above. The object of their work on numerical electromagnetic algorithms continues to be the improvement of time-domain algorithms for electromagnetic simulation on unstructured conforming grids. The thrust area is also investigating various technologies for conforming-grid mesh generation to simplify the application of their advanced field solvers to design problems involving complicated geometries. They are developing a major code suite based on the three-dimensional (3-D), conforming-grid, time-domain code DSI3D. They continue to maintain and distribute the 3-D, finite-difference time-domain (FDTD) code TSAR, which is installed at several dozen university, government, and industry sites.

    18. Computing for Finance

      ScienceCinema (OSTI)

      None

      2011-10-06

      The finance sector is one of the driving forces for the use of distributed or Grid computing for business purposes. The speakers will review the state-of-the-art of high performance computing in the financial sector, and provide insight into how different types of Grid computing ? from local clusters to global networks - are being applied to financial applications. They will also describe the use of software and techniques from physics, such as Monte Carlo simulations, in the financial world. There will be four talks of 20min each. The talk abstracts and speaker bios are listed below. This will be followed by a Q&A; panel session with the speakers. From 19:00 onwards there will be a networking cocktail for audience and speakers. This is an EGEE / CERN openlab event organized in collaboration with the regional business network rezonance.ch. A webcast of the event will be made available for subsequent viewing, along with powerpoint material presented by the speakers. Attendance is free and open to all. Registration is mandatory via www.rezonance.ch, including for CERN staff. 1. Overview of High Performance Computing in the Financial Industry Michael Yoo, Managing Director, Head of the Technical Council, UBS Presentation will describe the key business challenges driving the need for HPC solutions, describe the means in which those challenges are being addressed within UBS (such as GRID) as well as the limitations of some of these solutions, and assess some of the newer HPC technologies which may also play a role in the Financial Industry in the future. Speaker Bio: Michael originally joined the former Swiss Bank Corporation in 1994 in New York as a developer on a large data warehouse project. In 1996 he left SBC and took a role with Fidelity Investments in Boston. Unable to stay away for long, he returned to SBC in 1997 while working for Perot Systems in Singapore. Finally, in 1998 he formally returned to UBS in Stamford following the merger with SBC and has remained with UBS for the past 9 years. During his tenure at UBS, he has had a number of leadership roles within IT in development, support and architecture. In 2006 Michael relocated to Switzerland to take up his current role as head of the UBS IB Technical Council, responsible for the overall technology strategy and vision of the Investment Bank. One of Michael's key responsibilities is to manage the UBS High Performance Computing Research Lab and he has been involved in a number of initiatives in the HPC space. 2. Grid in the Commercial WorldFred Gedling, Chief Technology Officer EMEA and Senior Vice President Global Services, DataSynapse Grid computing gets mentions in the press for community programs starting last decade with "Seti@Home". Government, national and supranational initiatives in grid receive some press. One of the IT-industries' best-kept secrets is the use of grid computing by commercial organizations with spectacular results. Grid Computing and its evolution into Application Virtualization is discussed and how this is key to the next generation data center. Speaker Bio: Fred Gedling holds the joint roles of Chief Technology Officer for EMEA and Senior Vice President of Global Services at DataSynapse, a global provider of application virtualisation software. Based in London and working closely with organisations seeking to optimise their IT infrastructures, Fred offers unique insights into the technology of virtualisation as well as the methodology of establishing ROI and rapid deployment to the immediate advantage of the business. Fred has more than fifteen years experience of enterprise middleware and high-performance infrastructures. Prior to DataSynapse he worked in high performance CRM middleware and was the CTO EMEA for New Era of Networks (NEON) during the rapid growth of Enterprise Application Integration. His 25-year career in technology also includes management positions at Goldman Sachs and Stratus Computer. Fred holds a First Class Bsc (Hons) degree in Physics with Astrophysics from the University of Leeds and had the privilege o

    19. computational-hydraulics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and Aerodynamics using STAR-CCM+ for CFD Analysis March 21-22, 2012 Argonne, Illinois Dr. Steven Lottes This email address is being protected from spambots. You need JavaScript enabled to view it. A training course in the use of computational hydraulics and aerodynamics CFD software using CD-adapco's STAR-CCM+ for analysis will be held at TRACC from March 21-22, 2012. The course assumes a basic knowledge of fluid mechanics and will make extensive use of hands on tutorials. CD-adapco will issue

    20. Computer generated holographic microtags

      DOE Patents [OSTI]

      Sweatt, William C.

      1998-01-01

      A microlithographic tag comprising an array of individual computer generated holographic patches having feature sizes between 250 and 75 nanometers. The tag is a composite hologram made up of the individual holographic patches and contains identifying information when read out with a laser of the proper wavelength and at the proper angles of probing and reading. The patches are fabricated in a steep angle Littrow readout geometry to maximize returns in the -1 diffracted order. The tags are useful as anti-counterfeiting markers because of the extreme difficulty in reproducing them.

    1. Multiprocessor computing for images

      SciTech Connect (OSTI)

      Cantoni, V. ); Levialdi, S. )

      1988-08-01

      A review of image processing systems developed until now is given, highlighting the weak points of such systems and the trends that have dictated their evolution through the years producing different generations of machines. Each generation may be characterized by the hardware architecture, the programmability features and the relative application areas. The need for multiprocessing hierarchical systems is discussed focusing on pyramidal architectures. Their computational paradigms, their virtual and physical implementation, their programming and software requirements, and capabilities by means of suitable languages, are discussed.

    2. Scanning computed confocal imager

      DOE Patents [OSTI]

      George, John S. (Los Alamos, NM)

      2000-03-14

      There is provided a confocal imager comprising a light source emitting a light, with a light modulator in optical communication with the light source for varying the spatial and temporal pattern of the light. A beam splitter receives the scanned light and direct the scanned light onto a target and pass light reflected from the target to a video capturing device for receiving the reflected light and transferring a digital image of the reflected light to a computer for creating a virtual aperture and outputting the digital image. In a transmissive mode of operation the invention omits the beam splitter means and captures light passed through the target.

    3. Computer generated holographic microtags

      DOE Patents [OSTI]

      Sweatt, W.C.

      1998-03-17

      A microlithographic tag comprising an array of individual computer generated holographic patches having feature sizes between 250 and 75 nanometers is disclosed. The tag is a composite hologram made up of the individual holographic patches and contains identifying information when read out with a laser of the proper wavelength and at the proper angles of probing and reading. The patches are fabricated in a steep angle Littrow readout geometry to maximize returns in the -1 diffracted order. The tags are useful as anti-counterfeiting markers because of the extreme difficulty in reproducing them. 5 figs.

    4. Announcement of Computer Software

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      F 241.4 (10-01) (Replaces ESTSC F1 and ESTSC F2) All Other Editions Are Obsolete UNITED STATES DEPARTMENT OF ENERGY ANNOUNCEMENT OF COMPUTER SOFTWARE OMB Control Number 1910-1400 (OMB Burden Disclosure Statement is on last page of Instructions) Record Status (Select One): New Package Software Revision H. Description/Abstract PART I: STI SOFTWARE DESCRIPTION A. Software Title SHORT NAME OR ACRONYM KEYWORDS IN CONTEXT (KWIC) TITLE B. Developer(s) E-MAIL ADDRESS(ES) C. Site Product Number 1. DOE

    5. Computer Wallpaper | The Ames Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Wallpaper We've incorporated the tagline, Creating Materials and Energy Solutions, into a computer wallpaper so you can display it on your desktop as a constant reminder....

    6. Introduction to High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Introduction to High Performance Computing Introduction to High Performance Computing June 10, 2013 Photo on 7 30 12 at 7.10 AM Downloads Download File Gerber-HPC-2.pdf...

    7. 2015 Final Reports from the Los Alamos National Laboratory Computational Physics Student Summer Workshop

      SciTech Connect (OSTI)

      Runnels, Scott Robert; Caldwell, Wendy; Brown, Barton Jed; Pederson, Clark; Brown, Justin; Burrill, Daniel; Feinblum, David; Hyde, David; Levick, Nathan; Lyngaas, Isaac; Maeng, Brad; Reed, Richard LeRoy; Sarno-Smith, Lois; Shohet, Gil; Skarda, Jinhie; Stevens, Josey; Zeppetello, Lucas; Grossman-Ponemon, Benjamin; Bottini, Joseph Larkin; Loudon, Tyson Shane; VanGessel, Francis Gilbert; Nagaraj, Sriram; Price, Jacob

      2015-10-15

      The two primary purposes of LANL’s Computational Physics Student Summer Workshop are (1) To educate graduate and exceptional undergraduate students in the challenges and applications of computational physics of interest to LANL, and (2) Entice their interest toward those challenges. Computational physics is emerging as a discipline in its own right, combining expertise in mathematics, physics, and computer science. The mathematical aspects focus on numerical methods for solving equations on the computer as well as developing test problems with analytical solutions. The physics aspects are very broad, ranging from low-temperature material modeling to extremely high temperature plasma physics, radiation transport and neutron transport. The computer science issues are concerned with matching numerical algorithms to emerging architectures and maintaining the quality of extremely large codes built to perform multi-physics calculations. Although graduate programs associated with computational physics are emerging, it is apparent that the pool of U.S. citizens in this multi-disciplinary field is relatively small and is typically not focused on the aspects that are of primary interest to LANL. Furthermore, more structured foundations for LANL interaction with universities in computational physics is needed; historically interactions rely heavily on individuals’ personalities and personal contacts. Thus a tertiary purpose of the Summer Workshop is to build an educational network of LANL researchers, university professors, and emerging students to advance the field and LANL’s involvement in it. This report includes both the background for the program and the reports from the students.

    8. Certain irregularities in the use of computer facilities at Sandia Laboratory

      SciTech Connect (OSTI)

      Not Available

      1980-10-22

      This report concerns irregularities in the use of computer systems at Sandia Laboratories (Sandia) in Albuquerque, New Mexico. Our interest in this subject was triggered when we learned late last year that the Federal Bureau of Investigation (FBI) was planning to undertake an investigation into possible misuse of the computer systems at Sandia. That investigation, which was carried out with the assistance of our staff, disclosed that an employee of Sandia was apparently using the Sandia computer system to assist in running a bookmaking operation for local gamblers. As a result of that investigation, we decided to conduct a separate review of Sandia's computer systems to determine the extent of computer misuse at Sandia. We found that over 200 employees of Sandia had stored games, personal items, classified material, and otherwise sensitive material on their computer files.

    9. Fermilab | Science at Fermilab | Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Computing is indispensable to science at Fermilab. High-energy physics experiments generate an astounding amount of data that physicists need to store, analyze and communicate with others. Cutting-edge technology allows scientists to work quickly and efficiently to advance our understanding of the world . Fermilab's Computing Division is recognized for its expertise in handling huge amounts of data, its success in high-speed parallel computing and its willingness to take its craft in

    10. Super recycled water: quenching computers

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Super recycled water: quenching computers Super recycled water: quenching computers New facility and methods support conserving water and creating recycled products. Using reverse osmosis to "super purify" water allows the system to reuse water and cool down our powerful yet thirsty computers. January 30, 2014 Super recycled water: quenching computers LANL's Sanitary Effluent Reclamation Facility, key to reducing the Lab's discharge of liquid. Millions of gallons of industrial

    11. Computing architecture for autonomous microgrids

      DOE Patents [OSTI]

      Goldsmith, Steven Y.

      2015-09-29

      A computing architecture that facilitates autonomously controlling operations of a microgrid is described herein. A microgrid network includes numerous computing devices that execute intelligent agents, each of which is assigned to a particular entity (load, source, storage device, or switch) in the microgrid. The intelligent agents can execute in accordance with predefined protocols to collectively perform computations that facilitate uninterrupted control of the microgrid.

    12. Computing architecture for autonomous microgrids

      DOE Patents [OSTI]

      Goldsmith, Steven Y.

      2015-09-29

      A computing architecture that facilitates autonomously controlling operations of a microgrid is described herein. A microgrid network includes numerous computing devices that execute intelligent agents, each of which is assigned to a particular entity (load, source, storage device, or switch) in the microgrid. The intelligent agents can execute in accordance with predefined protocols to collectively perform computations that facilitate uninterrupted control of the .

    13. Collecting Personally Identifiable Information Through the Web and User

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Research | Department of Energy Federal Requirements » Collecting Personally Identifiable Information Through the Web and User Research Collecting Personally Identifiable Information Through the Web and User Research The Office of Energy Efficiency and Renewable Energy (EERE) has requirements for websites, applications, customer surveys, and user experience (UX) research that collect data on individuals-also called personally identifiable information (PII). The U.S. Department of Energy

    14. Idaho Cleanup Project Clearance Limits for Personal Property | Department

      Energy Savers [EERE]

      of Energy Idaho Cleanup Project Clearance Limits for Personal Property Idaho Cleanup Project Clearance Limits for Personal Property Kevin Konzen*, CH2M-WG Idaho, LLC ; Craig Nesshoefer, Idaho Cleanup Project Abstract: CH2M-WG Idaho, LLC (CWI) had sought alternative surface clearance limits for personal property from those referenced in DOE Order 458.1, which were approved September 2013 by the Department of Energy. Because much of the property would remain within DOE control, implementation

    15. A personal message from Rosemary Maestas-Swazo

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue: Dec. 2015-Jan. 2016 all issues All Issues submit...

    16. Personal Commitment to Excellence in Health and Safety: A Message...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      programs and sites. Personal Commitment to Excellence in Safety and Health Poster Addthis Related Articles PHOTOS: Vice President Biden Swears in New Deputy Secretary of Energy ...

    17. Person County, North Carolina: Energy Resources | Open Energy...

      Open Energy Info (EERE)

      Person County, North Carolina: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 36.3528221, -78.9288242 Show Map Loading map......

    18. Environment/Health/Safety (EHS): Personal Protective Equipment...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      EHS Occupational Safety Safety Group Home Electrical Safety Ergonomics ISM Occupational Safety Group Organization Personal Protective Equipment (PPE) Injury Review & Analysis...

    19. Noise tolerant spatiotemporal chaos computing

      SciTech Connect (OSTI)

      Kia, Behnam; Kia, Sarvenaz; Ditto, William L.; Lindner, John F.; Sinha, Sudeshna

      2014-12-01

      We introduce and design a noise tolerant chaos computing system based on a coupled map lattice (CML) and the noise reduction capabilities inherent in coupled dynamical systems. The resulting spatiotemporal chaos computing system is more robust to noise than a single map chaos computing system. In this CML based approach to computing, under the coupled dynamics, the local noise from different nodes of the lattice diffuses across the lattice, and it attenuates each other's effects, resulting in a system with less noise content and a more robust chaos computing architecture.

    20. Computer memory management system

      DOE Patents [OSTI]

      Kirk, III, Whitson John

      2002-01-01

      A computer memory management system utilizing a memory structure system of "intelligent" pointers in which information related to the use status of the memory structure is designed into the pointer. Through this pointer system, The present invention provides essentially automatic memory management (often referred to as garbage collection) by allowing relationships between objects to have definite memory management behavior by use of coding protocol which describes when relationships should be maintained and when the relationships should be broken. In one aspect, the present invention system allows automatic breaking of strong links to facilitate object garbage collection, coupled with relationship adjectives which define deletion of associated objects. In another aspect, The present invention includes simple-to-use infinite undo/redo functionality in that it has the capability, through a simple function call, to undo all of the changes made to a data model since the previous `valid state` was noted.

    1. AMRITA -- A computational facility

      SciTech Connect (OSTI)

      Shepherd, J.E.; Quirk, J.J.

      1998-02-23

      Amrita is a software system for automating numerical investigations. The system is driven using its own powerful scripting language, Amrita, which facilitates both the composition and archiving of complete numerical investigations, as distinct from isolated computations. Once archived, an Amrita investigation can later be reproduced by any interested party, and not just the original investigator, for no cost other than the raw CPU time needed to parse the archived script. In fact, this entire lecture can be reconstructed in such a fashion. To do this, the script: constructs a number of shock-capturing schemes; runs a series of test problems, generates the plots shown; outputs the LATEX to typeset the notes; performs a myriad of behind-the-scenes tasks to glue everything together. Thus Amrita has all the characteristics of an operating system and should not be mistaken for a common-or-garden code.

    2. Sandia National Laboratories: Advanced Simulation and Computing:

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Systems & Software Environment Computational Systems & Software Environment Advanced Simulation and Computing Computational Systems & Software Environment Integrated Codes Physics & Engineering Models Verification & Validation Facilities Operation & User Support Research & Collaboration Contact ASC Advanced Simulation and Computing Computational Systems & Software Environment Crack Modeling The Computational Systems & Software Environment

    3. Customizable Computing at Datacenter Scale | Argonne Leadership Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Facility Customizable Computing at Datacenter Scale Event Sponsor: Mathematics and Computer Science Division Seminar Start Date: May 2 2016 - 10:00am Building/Room: Building 240/Room 1416 Location: Argonne National Laboratory Speaker(s): Jason Cong Speaker(s) Title: UCLA Host: Marc Snir Customizable computing has been of interest to the research community for over three decades. The interest has intensified in the recent years as the power and energy become a significant limiting factor to

    4. Paul C. Messina | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      He led the Computational and Computer Science component of Caltech's research project funded by the Academic Strategic Alliances Program of the Accelerated Strategic Computing ...

    5. CLAMR (Compute Language Adaptive Mesh Refinement)

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      CLAMR (Compute Language Adaptive Mesh Refinement) CLAMR (Compute Language Adaptive Mesh Refinement) CLAMR (Compute Language Adaptive Mesh Refinement) is being developed as a DOE...

    6. Other World Computing | Open Energy Information

      Open Energy Info (EERE)

      World Computing Jump to: navigation, search Name Other World Computing Facility Other World Computing Sector Wind energy Facility Type Community Wind Facility Status In Service...

    7. Present and Future Computing Requirements for PETSc

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and Future Computing Requirements for PETSc Jed Brown jedbrown@mcs.anl.gov Mathematics and Computer Science Division, Argonne National Laboratory Department of Computer Science, ...

    8. Computer_Vision

      Energy Science and Technology Software Center (OSTI)

      2002-10-04

      The Computer_Vision software performs object recognition using a novel multi-scale characterization and matching algorithm. To understand the multi-scale characterization and matching software, it is first necessary to understand some details of the Computer Vision (CV) Project. This project has focused on providing algorithms and software that provide an end-to-end toolset for image processing applications. At a high-level, this end-to-end toolset focuses on 7 coy steps. The first steps are geometric transformations. 1) Image Segmentation. Thismore » step essentially classifies pixels in foe input image as either being of interest or not of interest. We have also used GENIE segmentation output for this Image Segmentation step. 2 Contour Extraction (patent submitted). This takes the output of Step I and extracts contours for the blobs consisting of pixels of interest. 3) Constrained Delaunay Triangulation. This is a well-known geometric transformation that creates triangles inside the contours. 4 Chordal Axis Transform (CAT) . This patented geometric transformation takes the triangulation output from Step 3 and creates a concise and accurate structural representation of a contour. From the CAT, we create a linguistic string, with associated metrical information, that provides a detailed structural representation of a contour. 5.) Normalization. This takes an attributed linguistic string output from Step 4 and balances it. This ensures that the linguistic representation accurately represents the major sections of the contour. Steps 6 and 7 are implemented by the multi-scale characterization and matching software. 6) Multi scale Characterization. This takes as input the attributed linguistic string output from Normalization. Rules from a context free grammar are applied in reverse to create a tree-like representation for each contour. For example, one of the grammar’s rules is L -> (LL ). When an (LL) is seen in a string, a parent node is created that points to the four child symbols ‘(‘ , ‘L’ , ‘L’, and ‘)‘ . Levels in the tree can then be thought of as coarser (towards the root) or finer (towards the leaves) representations of the same contours. 7.) Multi scale Matching. Having a multi-scale characterization allows us to compare objects at a coarser level before matching at finer levels of detail. Matching at a coarser level not only increases the speed of the matching process (you’re comparing fewer symbols) , but also increases accuracy since small variations along contours do not significantly detract from two objects’ similarity.« less

    9. Computational Fluid Dynamics Library

      Energy Science and Technology Software Center (OSTI)

      2005-03-04

      CFDLib05 is the Los Alamos Computational Fluid Dynamics LIBrary. This is a collection of hydrocodes using a common data structure and a common numerical method, for problems ranging from single-field, incompressible flow, to multi-species, multi-field, compressible flow. The data structure is multi-block, with a so-called structured grid in each block. The numerical method is a Finite-Volume scheme employing a state vector that is fully cell-centered. This means that the integral form of the conservation lawsmore » is solved on the physical domain that is represented by a mesh of control volumes. The typical control volume is an arbitrary quadrilateral in 2D and an arbitrary hexahedron in 3D. The Finite-Volume scheme is for time-unsteady flow and remains well coupled by means of time and space centered fluxes; if a steady state solution is required, the problem is integrated forward in time until the user is satisfied that the state is stationary.« less

    10. Python and computer vision

      SciTech Connect (OSTI)

      Doak, J. E.; Prasad, Lakshman

      2002-01-01

      This paper discusses the use of Python in a computer vision (CV) project. We begin by providing background information on the specific approach to CV employed by the project. This includes a brief discussion of Constrained Delaunay Triangulation (CDT), the Chordal Axis Transform (CAT), shape feature extraction and syntactic characterization, and normalization of strings representing objects. (The terms 'object' and 'blob' are used interchangeably, both referring to an entity extracted from an image.) The rest of the paper focuses on the use of Python in three critical areas: (1) interactions with a MySQL database, (2) rapid prototyping of algorithms, and (3) gluing together all components of the project including existing C and C++ modules. For (l), we provide a schema definition and discuss how the various tables interact to represent objects in the database as tree structures. (2) focuses on an algorithm to create a hierarchical representation of an object, given its string representation, and an algorithm to match unknown objects against objects in a database. And finally, (3) discusses the use of Boost Python to interact with the pre-existing C and C++ code that creates the CDTs and CATS, performs shape feature extraction and syntactic characterization, and normalizes object strings. The paper concludes with a vision of the future use of Python for the CV project.

    11. computational-fluid-dynamics-training

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Table of Contents Date Location Advanced Hydraulic and Aerodynamic Analysis Using CFD March 27-28, 2013 Argonne TRACC Argonne, IL Computational Hydraulics and Aerodynamics using STAR-CCM+ for CFD Analysis March 21-22, 2012 Argonne TRACC Argonne, IL Computational Hydraulics and Aerodynamics using STAR-CCM+ for CFD Analysis March 30-31, 2011 Argonne TRACC Argonne, IL Computational Hydraulics for Transportation Workshop September 23-24, 2009 Argonne TRACC West Chicago, IL

    12. Bioinformatics Computing Consultant Position Available

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Bioinformatics Computing Consultant Position Available Bioinformatics Computing Consultant Position Available October 31, 2011 by Katie Antypas NERSC and the Joint Genome Institute (JGI) are searching for two individuals who can help biologists exploit advanced computing platforms. JGI provides production sequencing and genomics for the Department of Energy. These activities are critical to the DOE missions in areas related to clean energy generation and environmental characterization and

    13. Parallel Computing Summer Research Internship

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      should have basic experience with a scientific computing language, such as C, C++, Fortran and with the LINUX operating system. Duration & Location The program will last ten...

    14. History | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      dedicated to enabling leading-edge computational capabilities to advance fundamental ... (ASCR) program within DOE's Office of Science, the ALCF is one half of the DOE ...

    15. Institutional computing (IC) information session

      SciTech Connect (OSTI)

      Koch, Kenneth R; Lally, Bryan R

      2011-01-19

      The LANL Institutional Computing Program (IC) will host an information session about the current state of unclassified Institutional Computing at Los Alamos, exciting plans for the future, and the current call for proposals for science and engineering projects requiring computing. Program representatives will give short presentations and field questions about the call for proposals and future planned machines, and discuss technical support available to existing and future projects. Los Alamos has started making a serious institutional investment in open computing available to our science projects, and that investment is expected to increase even more.

    16. Bioinformatics Computing Consultant Position Available

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      You can read more about the positions and apply at jobs.lbl.gov: Bioinformatics High Performance Computing Consultant (job number: 73194) and Software Developer for High...

    17. computation | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

      Livermore National Laboratory (LLNL), announced her retirement last week after 15 years of leading Livermore's Computation Directorate. "Dona has successfully led a ...

    18. Integrated Computational Materials Engineering (ICME) for Mg...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      More Documents & Publications Integrated Computational Materials Engineering (ICME) for Mg: International Pilot Project Integrated Computational Materials Engineering (ICME) for ...

    19. Computation Directorate 2008 Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2009-03-25

      Whether a computer is simulating the aging and performance of a nuclear weapon, the folding of a protein, or the probability of rainfall over a particular mountain range, the necessary calculations can be enormous. Our computers help researchers answer these and other complex problems, and each new generation of system hardware and software widens the realm of possibilities. Building on Livermore's historical excellence and leadership in high-performance computing, Computation added more than 331 trillion floating-point operations per second (teraFLOPS) of power to LLNL's computer room floors in 2008. In addition, Livermore's next big supercomputer, Sequoia, advanced ever closer to its 2011-2012 delivery date, as architecture plans and the procurement contract were finalized. Hyperion, an advanced technology cluster test bed that teams Livermore with 10 industry leaders, made a big splash when it was announced during Michael Dell's keynote speech at the 2008 Supercomputing Conference. The Wall Street Journal touted Hyperion as a 'bright spot amid turmoil' in the computer industry. Computation continues to measure and improve the costs of operating LLNL's high-performance computing systems by moving hardware support in-house, by measuring causes of outages to apply resources asymmetrically, and by automating most of the account and access authorization and management processes. These improvements enable more dollars to go toward fielding the best supercomputers for science, while operating them at less cost and greater responsiveness to the customers.

    20. Interim Guidance on DOE Personal Property Foreign Transactions

      Broader source: Energy.gov [DOE]

      The attached Acquisition Letter provides interim direction and procedural guidance to DOE and NNSA on proper protocol for personal property transactions executed with foreign entities, to include property title transfers, loans and abandonments and pertains to personal property in the hand of the Federal government, contractor or a third party. Direction and guidance is specific to accountable personal property, as defined in DOE Order 580.1. Guidance in this Acquisition Letter shall be followed until DOE Order 580.1 is updated to include foreign transactions.

    1. Ames Laboratory Personal Information Form | The Ames Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal Information Form ATTENTION: Forms that reside in an employee's official personnel file (OPF) now have barcodes in the bottom right-hand corner. The most common forms are...

    2. NEW - DOE G 580.1-1A, Personal Property

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      This Guide provides non-regulatory guidance and information to assist DOE organizations and contractors in implementing the DOE-wide and site-specific personal property management programs.

    3. Non-Residential Solar & Wind Tax Credit (Personal)

      Broader source: Energy.gov [DOE]

      The tax credit, which may be applied against corporate or personal taxes, is equal to 10% of the installed cost of qualified “solar energy devices” and applies to taxable years beginning January 1...

    4. Nuclear disarmament with a personal touch | National Nuclear Security

      National Nuclear Security Administration (NNSA)

      Administration Nuclear disarmament with a personal touch February 15, 2012 Team Led by Y-12 Site Office Employee Visits Russian girl Aided by U.S. Monitors File NR-01-12 Sofia

    5. Can Cloud Computing Address the Scientific Computing Requirements...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      the ever-increasing computational needs of scientists, Department of Energy ... and as the largest funder of basic scientific research in the U.S., DOE was interested in ...

    6. A personal message from Rosemary Maestas-Swazo

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Personal message Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 2016 all issues All Issues » submit November is Native American Heritage Month, and we celebrate by dedicating ourselves to strong tribal communities A personal message from Rosemary Maestas-Swazo, Tribal Liaison, Los Alamos National Laboratory November 2, 2015 Rosemary Maestas-Swazo, Tribal Liaison Rosemary Maestas-Swazo, Tribal Liaison Contacts Community Programs

    7. Introduction to computers: Reference guide

      SciTech Connect (OSTI)

      Ligon, F.V.

      1995-04-01

      The ``Introduction to Computers`` program establishes formal partnerships with local school districts and community-based organizations, introduces computer literacy to precollege students and their parents, and encourages students to pursue Scientific, Mathematical, Engineering, and Technical careers (SET). Hands-on assignments are given in each class, reinforcing the lesson taught. In addition, the program is designed to broaden the knowledge base of teachers in scientific/technical concepts, and Brookhaven National Laboratory continues to act as a liaison, offering educational outreach to diverse community organizations and groups. This manual contains the teacher`s lesson plans and the student documentation to this introduction to computer course.

    8. GPU Computing - Dirac.pptx

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      GPU Computing with Dirac Hemant Shukla 2 Architectural Differences 2 ALU Cache DRAM Control Logic DRAM CPU GPU 512 cores 10s t o 1 00s o f t hreads p er c ore Latency i s h idden b y f ast c ontext switching Less t han 2 0 c ores 1---2 t hreads p er c ore Latency i s h idden b y l arge c ache 3 Programming Models 3 CUDA (Compute Unified Device Architecture) OpenCL Microsoft's DirectCompute Third party wrappers are also available for Python, Perl, Fortran, Java, Ruby, Lua, MATLAB, IDL, and

    9. Power throttling of collections of computing elements

      DOE Patents [OSTI]

      Bellofatto, Ralph E.; Coteus, Paul W.; Crumley, Paul G.; Gara, Alan G.; Giampapa, Mark E.; Gooding; Thomas M.; Haring, Rudolf A.; Megerian, Mark G.; Ohmacht, Martin; Reed, Don D.; Swetz, Richard A.; Takken, Todd

      2011-08-16

      An apparatus and method for controlling power usage in a computer includes a plurality of computers communicating with a local control device, and a power source supplying power to the local control device and the computer. A plurality of sensors communicate with the computer for ascertaining power usage of the computer, and a system control device communicates with the computer for controlling power usage of the computer.

    10. Present and Future Computing Requirements

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Cosmology SciDAC-3 Project Ann Almgren (LBNL) Nick Gnedin (FNAL) Dave Higdon (LANL) Rob Ross (ANL) Martin White (UC Berkeley LBNL) Large Scale Production Computing and Storage...

    11. Filtration theory using computer simulations

      SciTech Connect (OSTI)

      Bergman, W.; Corey, I.

      1997-01-01

      We have used commercially available fluid dynamics codes based on Navier-Stokes theory and the Langevin particle equation of motion to compute the particle capture efficiency and pressure drop through selected two- and three- dimensional fiber arrays. The approach we used was to first compute the air velocity vector field throughout a defined region containing the fiber matrix. The particle capture in the fiber matrix is then computed by superimposing the Langevin particle equation of motion over the flow velocity field. Using the Langevin equation combines the particle Brownian motion, inertia and interception mechanisms in a single equation. In contrast, most previous investigations treat the different capture mechanisms separately. We have computed the particle capture efficiency and the pressure drop through one, 2-D and two, 3-D fiber matrix elements.

    12. Events | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      2:00 PM Finding Multiple Local Minima of Computationally Expensive Simulations Jeffery Larson Postdoctoral Appointee, MCS Building 240Room 4301 Pages 1 2 3 4 5 6 7 8 9 ... next...

    13. SSRL Computer Account Request Form

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      SSRLLCLS Computer Account Request Form August 2009 Fill in this form and sign the security statement mentioned at the bottom of this page to obtain an account. Your Name:...

    14. Computing at SSRL Home Page

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      contents you are looking for have moved. You will be redirected to the new location automatically in 5 seconds. Please bookmark the correct page at http://www-ssrl.slac.stanford.edu/content/staff-resources/computer-networking-group

    15. SSRL Computer Account Request Form

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      SSRL/LCLS Computer Account Request Form August 2009 Fill in this form and sign the security statement mentioned at the bottom of this page to obtain an account. Your Name: __________________________________________________________ Institution: ___________________________________________________________ Mailing Address: ______________________________________________________ Email Address: _______________________________________________________ Telephone:

    16. Quantum Computing: Solving Complex Problems

      ScienceCinema (OSTI)

      DiVincenzo, David [IBM Watson Research Center

      2009-09-01

      One of the motivating ideas of quantum computation was that there could be a new kind of machine that would solve hard problems in quantum mechanics. There has been significant progress towards the experimental realization of these machines (which I will review), but there are still many questions about how such a machine could solve computational problems of interest in quantum physics. New categorizations of the complexity of computational problems have now been invented to describe quantum simulation. The bad news is that some of these problems are believed to be intractable even on a quantum computer, falling into a quantum analog of the NP class. The good news is that there are many other new classifications of tractability that may apply to several situations of physical interest.

    17. Automatic computation of transfer functions

      DOE Patents [OSTI]

      Atcitty, Stanley; Watson, Luke Dale

      2015-04-14

      Technologies pertaining to the automatic computation of transfer functions for a physical system are described herein. The physical system is one of an electrical system, a mechanical system, an electromechanical system, an electrochemical system, or an electromagnetic system. A netlist in the form of a matrix comprises data that is indicative of elements in the physical system, values for the elements in the physical system, and structure of the physical system. Transfer functions for the physical system are computed based upon the netlist.

    18. Parallel Computing Summer Research Internship

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      LaboratoryNational Security Education Center Menu About Contact Educational Prog Computer System, Cluster and Networking Summer Institute (CSCNSI) IS&T Data Science at Scale Summer School IS&T Co-Design Summer School Parallel Computing Summer Research Internship Univ Partnerships CMU/LANL Institute for Reliable High Performance Technology (IRHPIT) Missouri S&T/LANL Cyber Security Sciences Institute (CSSI) UC, Davis/LANL Institute for Next Generation Visualization and Analysis (INGVA)

    19. computational-hydraulics-for-transportation

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Transportation Workshop Sept. 23-24, 2009 Argonne TRACC Dr. Steven Lottes This email address is being protected from spambots. You need JavaScript enabled to view it. Announcement pdficon small The Transportation Research and Analysis Computing Center at Argonne National Laboratory will hold a workshop on the use of computational hydraulics for transportation applications. The goals of the workshop are: Bring together people who are using or would benefit from the use of high performance cluster

    20. Computer Assisted Virtual Environment - CAVE

      ScienceCinema (OSTI)

      Erickson, Phillip; Podgorney, Robert; Weingartner, Shawn; Whiting, Eric

      2014-06-09

      Research at the Center for Advanced Energy Studies is taking on another dimension with a 3-D device known as a Computer Assisted Virtual Environment. The CAVE uses projection to display high-end computer graphics on three walls and the floor. By wearing 3-D glasses to create depth perception and holding a wand to move and rotate images, users can delve into data.

    1. Tukey | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Tukey The primary purpose of Tukey is to analyze and visualize data produced on Mira. Equipped with state-of-the-art graphics processing units (GPUs), Tukey converts computational data from Mira into high-resolution visual representations. The resulting images, videos, and animations help users to better analyze and understand the data generated by

    2. Vesta | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Vesta Vesta is the ALCF's test and development platform, serving as a launching pad for researchers planning to use Mira. Vesta has the same architecture as Mira, but on a much smaller scale (two computer racks compared to Mira's 48 racks). This system enables researchers to debug and scale up codes for the Blue Gene/Q architecture in

    3. Secure computing for the 'Everyman'

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Secure computing for the 'Everyman' Secure computing for the 'Everyman' If implemented on a wide scale, quantum key distribution technology could ensure truly secure commerce, banking, communications and data transfer. September 2, 2014 This small device developed at Los Alamos National Laboratory uses the truly random spin of light particles as defined by laws of quantum mechanics to generate a random number for use in a cryptographic key that can be used to securely transmit information

    4. Computational Sciences and Engineering Division

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      The Computational Sciences and Engineering Division is a major research division at the Department of Energy's Oak Ridge National Laboratory. CSED develops and applies creative information technology and modeling and simulation research solutions for National Security and National Energy Infrastructure needs. The mission of the Computational Sciences and Engineering Division is to enhance the country's capabilities in achieving important objectives in the areas of national defense, homeland

    5. Proposal for grid computing for nuclear applications

      SciTech Connect (OSTI)

      Idris, Faridah Mohamad; Ismail, Saaidi; Haris, Mohd Fauzi B.; Sulaiman, Mohamad Safuan B.; Aslan, Mohd Dzul Aiman Bin.; Samsudin, Nursuliza Bt.; Ibrahim, Maizura Bt.; Ahmad, Megat Harun Al Rashid B. Megat; Yazid, Hafizal B.; Jamro, Rafhayudi B.; Azman, Azraf B.; Rahman, Anwar B. Abdul; Ibrahim, Mohd Rizal B. Mamat; Muhamad, Shalina Bt. Sheik; Hassan, Hasni; Abdullah, Wan Ahmad Tajuddin Wan; Ibrahim, Zainol Abidin; Zolkapli, Zukhaimira; Anuar, Afiq Aizuddin; Norjoharuddeen, Nurfikri; and others

      2014-02-12

      The use of computer clusters for computational sciences including computational physics is vital as it provides computing power to crunch big numbers at a faster rate. In compute intensive applications that requires high resolution such as Monte Carlo simulation, the use of computer clusters in a grid form that supplies computational power to any nodes within the grid that needs computing power, has now become a necessity. In this paper, we described how the clusters running on a specific application could use resources within the grid, to run the applications to speed up the computing process.

    6. An improved, computer-based, on-line gamma monitor for plutonium anion exchange process control

      SciTech Connect (OSTI)

      Pope, N.G.; Marsh, S.F.

      1987-06-01

      An improved, low-cost, computer-based system has replaced a previously developed on-line gamma monitor. Both instruments continuously profile uranium, plutonium, and americium in the nitrate anion exchange process used to recover and purify plutonium at the Los Alamos Plutonium Facility. The latest system incorporates a personal computer that provides full-feature multichannel analyzer (MCA) capabilities by means of a single-slot, plug-in integrated circuit board. In addition to controlling all MCA functions, the computer program continuously corrects for gain shift and performs all other data processing functions. This Plutonium Recovery Operations Gamma Ray Energy Spectrometer System (PROGRESS) provides on-line process operational data essential for efficient operation. By identifying abnormal conditions in real time, it allows operators to take corrective actions promptly. The decision-making capability of the computer will be of increasing value as we implement automated process-control functions in the future. 4 refs., 6 figs.

    7. Computational Quantum Chemistry at the RCC | Argonne Leadership Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Facility Computational Quantum Chemistry at the RCC Start Date: May 12 2016 - 2:00pm to 3:30pm Building/Room: Kathleen A. Zar Room, John Crerar Library Location: University of Chicago Speaker(s): Jonathan Skone Speaker(s) Title: Scientific Programming Consultant, Research Computing Center Event Website: https://training.uchicago.edu/course_detail.cfm?course_id=1652 This workshop is meant to guide those less familiar with quantum chemistry software in setting themselves up quickly to begin

    8. Predictive Capability Maturity Model for computational modeling...

      Office of Scientific and Technical Information (OSTI)

      Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, ...

    9. Predictive Capability Maturity Model for computational modeling...

      Office of Scientific and Technical Information (OSTI)

      ... Sponsoring Org: USDOE Country of Publication: United States Language: English Subject: 97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, ...

    10. Computer Science and Information Technology Student Pipeline

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Divisions recruit and hire promising undergraduate and graduate students in the areas of Computer Science, Information Technology, Management Information Systems, Computer...

    11. Energy Storage Computational Tool | Open Energy Information

      Open Energy Info (EERE)

      Energy Storage Computational Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Storage Computational Tool AgencyCompany Organization: Navigant Consulting...

    12. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Print Wednesday, 26 August 2009 00:00 Rotaxanes are...

    13. Compare Activities by Number of Computers

      U.S. Energy Information Administration (EIA) Indexed Site

      of Computers Office buildings contained the most computers per square foot, followed by education and outpatient health care buildings. Education buildings were the only type...

    14. Marta Garcia Martinez | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Marta Garcia Martinez Assistant Computational Scientist Marta Garcia Martinez Argonne ... Marta Garca is an Assistant Computational Scientist at the ALCF. She is part of the ...

    15. Accerelate Your Vision | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Our Catalysts are computational scientists with domain expertise in areas such as chemistry, materials science, fusion, nuclear physics, plasma physics, computer science, ...

    16. About ALCF | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. ...

    17. ALCF Acknowledgment Policy | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Impact on Theory and Experiment (INCITE) program. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User ...

    18. Applications for Postdoctoral Fellowship in Computational Science...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Postdoctoral Fellowship in Computational Science at Berkeley Lab Applications for Postdoctoral Fellowship in Computational Science at Berkeley Lab due November 26 October 15, 2012 ...

    19. Extreme Scale Computing, Co-Design

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Information Science, Computing, Applied Math Extreme Scale Computing, Co-design Publications Publications Ramon Ravelo, Qi An, Timothy C. Germann, and Brad Lee Holian, ...

    20. Improved computer models support genetics research

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      February Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and...

    1. LANL computer model boosts engine efficiency

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      LANL computer model boosts engine efficiency LANL computer model boosts engine efficiency The KIVA model has been instrumental in helping researchers and manufacturers understand...

    2. Data triage enables extreme-scale computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Data triage enables extreme-scale computing Data triage enables extreme-scale computing Data selection and triage are important techniques for large-scale data, which can ...

    3. Solvate Structures and Computational/Spectroscopic Characterization...

      Office of Scientific and Technical Information (OSTI)

      Solvate Structures and ComputationalSpectroscopic Characterization of LiPF6 Electrolytes Citation Details In-Document Search Title: Solvate Structures and Computational...

    4. Solvate Structures and Computational/Spectroscopic Characterization...

      Office of Scientific and Technical Information (OSTI)

      Solvate Structures and ComputationalSpectroscopic Characterization of LiBF4 Electrolytes Citation Details In-Document Search Title: Solvate Structures and Computational...

    5. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      based on molecular magnets that may make them suitable as qubits for quantum computers. Chemistry Aids Quantum Computing Quantum bits or qubits are the fundamental...

    6. Parallel Programming with MPI | Argonne Leadership Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Parallel Programming with MPI Event Sponsor: Mathematics and Computer Science Division ...permalinksargonne16mpi.php The Mathematics and Computer Science division of ...

    7. Mathematics and Computer Science Division | Argonne National...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Mathematics and Computer Science Division To help solve some of the nation's most critical scientific problems, the Mathematics and Computer Science (MCS) Division at Argonne ...

    8. Thermoelectric Materials by Design, Computational Theory and...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      by Design, Computational Theory and Structure Thermoelectric Materials by Design, Computational Theory and Structure 2009 DOE Hydrogen Program and Vehicle Technologies Program...

    9. OCIO Technology Summit: High Performance Computing | Department...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      The summit explored how Energy is using high performance computing to address a number of ... Oak Ridge National Laboratory, National Energy Research Scientific Computing Center ...

    10. Computationally Optimized Homogenization Heat Treatment of Metal...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Return to Search Computationally Optimized Homogenization Heat Treatment of Metal Alloys ... PDF Document Publication Computationally Optimized Homogenization Heat Treatment of Metal ...

    11. NERSC Enhances PDSF, Genepool Computing Capabilities

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Capabilities NERSC Enhances PDSF, Genepool Computing Capabilities Linux cluster expansion speeds data access and analysis January 3, 2014 Christmas came early for...

    12. Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering

      SciTech Connect (OSTI)

      Smith, Kandler; Graf, Peter; Jun, Myungsoo; Yang, Chuanbo; Li, Genong; Li, Shaoping; Hochman, Amit; Tselepidakis, Dimitrios

      2015-06-09

      This presentation provides an update on improvements in computational efficiency in a nonlinear multiscale battery model for computer aided engineering.

    13. Argonne Lea Computing F A

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Lea Computing F A r g o n n e L e a d e r s h i p C o m p u t i n g FA c i l i t y 2 0 1 3 S c i e n c e H i g H l i g H t S Argonne leadership computing Facility C O N T E N T S About ALCF ...............................................................................................................................2 MirA...............................................................................................................................................3 SCienCe DireCtor'S MeSSAge

    14. Supporting collaborative computing and interaction

      SciTech Connect (OSTI)

      Agarwal, Deborah; McParland, Charles; Perry, Marcia

      2002-05-22

      To enable collaboration on the daily tasks involved in scientific research, collaborative frameworks should provide lightweight and ubiquitous components that support a wide variety of interaction modes. We envision a collaborative environment as one that provides a persistent space within which participants can locate each other, exchange synchronous and asynchronous messages, share documents and applications, share workflow, and hold videoconferences. We are developing the Pervasive Collaborative Computing Environment (PCCE) as such an environment. The PCCE will provide integrated tools to support shared computing and task control and monitoring. This paper describes the PCCE and the rationale for its design.

    15. FUNCTION GENERATOR FOR ANALOGUE COMPUTERS

      DOE Patents [OSTI]

      Skramstad, H.K.; Wright, J.H.; Taback, L.

      1961-12-12

      An improved analogue computer is designed which can be used to determine the final ground position of radioactive fallout particles in an atomic cloud. The computer determines the fallout pattern on the basis of known wind velocity and direction at various altitudes, and intensity of radioactivity in the mushroom cloud as a function of particle size and initial height in the cloud. The output is then displayed on a cathode-ray tube so that the average or total luminance of the tube screen at any point represents the intensity of radioactive fallout at the geographical location represented by that point. (AEC)

    16. Environmental Science Student Encouraged to Pursue Personal and Tribal

      Energy Savers [EERE]

      Goals During NREL Tour | Department of Energy Environmental Science Student Encouraged to Pursue Personal and Tribal Goals During NREL Tour Environmental Science Student Encouraged to Pursue Personal and Tribal Goals During NREL Tour November 21, 2013 - 3:06pm Addthis Reyna Banteah Reyna Banteah University of New Mexico Environmental Science Student and Member of the Zuni Pueblo Tribe Keshi (Hello), I'd like to start by saying e:lah'kwa (thank you) for the opportunity to visit the U.S.

    17. Wind Development Found to Increase County-Level Personal Income |

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Department of Energy Development Found to Increase County-Level Personal Income Wind Development Found to Increase County-Level Personal Income January 10, 2013 - 2:21pm Addthis This is an excerpt from the Fourth Quarter 2012 edition of the Wind Program R&D Newsletter. The U.S. Department of Energy's (DOE's) Lawrence Berkley National Laboratory and National Renewable Energy Laboratory (NREL) joined forces with the U.S. Department of Agriculture (USDA) to complete a first-of-its-kind

    18. Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      instabilities, driven by free energy in plasma temperature and density gradients. * Unavoidable: These ... distribution S a - sources (beams, RF, etc) C a b C ab (f ...

    19. Radiological Worker Computer Based Training

      Energy Science and Technology Software Center (OSTI)

      2003-02-06

      Argonne National Laboratory has developed an interactive computer based training (CBT) version of the standardized DOE Radiological Worker training program. This CD-ROM based program utilizes graphics, animation, photographs, sound and video to train users in ten topical areas: radiological fundamentals, biological effects, dose limits, ALARA, personnel monitoring, controls and postings, emergency response, contamination controls, high radiation areas, and lessons learned.

    20. Experimental Mathematics and Computational Statistics

      SciTech Connect (OSTI)

      Bailey, David H.; Borwein, Jonathan M.

      2009-04-30

      The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

    1. New challenges in computational biochemistry

      SciTech Connect (OSTI)

      Honig, B.

      1996-12-31

      The new challenges in computational biochemistry to which the title refers include the prediction of the relative binding free energy of different substrates to the same protein, conformational sampling, and other examples of theoretical predictions matching known protein structure and behavior.

    2. PERTURBATION APPROACH FOR QUANTUM COMPUTATION

      SciTech Connect (OSTI)

      G. P. BERMAN; D. I. KAMENEV; V. I. TSIFRINOVICH

      2001-04-01

      We discuss how to simulate errors in the implementation of simple quantum logic operations in a nuclear spin quantum computer with many qubits, using radio-frequency pulses. We verify our perturbation approach using the exact solutions for relatively small (L = 10) number of qubits.

    3. Personal Property Management | U.S. DOE Office of Science (SC)

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Briefings Personal Property Briefings PDF icon NES - Rev D-final.pdf More Documents & Publications Personal Property Management Program Brochure Implementation of DOE Order 580.1A, Department of Energy Personal Property Management Acquisition Guide Chapter 3.3 - Compliance with U.S. Export Control Laws, Regulations, and Policies

      Management Certification Brochure Personal Property Management Certification Brochure PDF icon Personal Property Management Certification Brochure More Documents

    4. Parallel computing in enterprise modeling.

      SciTech Connect (OSTI)

      Goldsby, Michael E.; Armstrong, Robert C.; Shneider, Max S.; Vanderveen, Keith; Ray, Jaideep; Heath, Zach; Allan, Benjamin A.

      2008-08-01

      This report presents the results of our efforts to apply high-performance computing to entity-based simulations with a multi-use plugin for parallel computing. We use the term 'Entity-based simulation' to describe a class of simulation which includes both discrete event simulation and agent based simulation. What simulations of this class share, and what differs from more traditional models, is that the result sought is emergent from a large number of contributing entities. Logistic, economic and social simulations are members of this class where things or people are organized or self-organize to produce a solution. Entity-based problems never have an a priori ergodic principle that will greatly simplify calculations. Because the results of entity-based simulations can only be realized at scale, scalable computing is de rigueur for large problems. Having said that, the absence of a spatial organizing principal makes the decomposition of the problem onto processors problematic. In addition, practitioners in this domain commonly use the Java programming language which presents its own problems in a high-performance setting. The plugin we have developed, called the Parallel Particle Data Model, overcomes both of these obstacles and is now being used by two Sandia frameworks: the Decision Analysis Center, and the Seldon social simulation facility. While the ability to engage U.S.-sized problems is now available to the Decision Analysis Center, this plugin is central to the success of Seldon. Because Seldon relies on computationally intensive cognitive sub-models, this work is necessary to achieve the scale necessary for realistic results. With the recent upheavals in the financial markets, and the inscrutability of terrorist activity, this simulation domain will likely need a capability with ever greater fidelity. High-performance computing will play an important part in enabling that greater fidelity.

    5. Catalyst Working Group Kick-off Meeting: Personal Commentary

      Broader source: Energy.gov [DOE]

      Personal commentary on future directions in fuel cell electrocatalysis, presented by Mark Debe, 3M, at the kick-off meeting of the U.S. Department of Energy Fuel Cell Technologies Program's Catalysis Working Group, held May 14, 2012, in Arlington, Virginia.

    6. DRAFT - DOE G 580.1-1A, Personal Property

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      This Guide provides non-regulatory guidance and information to assist DOE organizations and contractors in implementing the DOE-wide and site-specific personal property management programs. It supplements the policy, requirements, and responsibilities information contained in the DOE Order cited above and clarifies the regulatory requirements contained in the Federal Property Management Regulation (FMR) and specific contracts.

    7. Computer Science and Information Technology Student Pipeline

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Science and Information Technology Student Pipeline Program Description Los Alamos National Laboratory's High Performance Computing and Information Technology Divisions recruit and hire promising undergraduate and graduate students in the areas of Computer Science, Information Technology, Management Information Systems, Computer Security, Software Engineering, Computer Engineering, and Electrical Engineering. Students are provided a mentor and challenging projects to demonstrate their

    8. Cosmic Reionization On Computers | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Simulation of cosmic reionization Simulation of cosmic reionization. Dark red shows opaque neutral gas, transparent blue is ionized gas, and yellow dots are galaxies. Nick Gnedin, Fermilab Cosmic Reionization On Computers PI Name: Nickolay Gnedin PI Email: gnedin@fnal.gov Institution: Fermilab Allocation Program: INCITE Allocation Hours at ALCF: 65 Million Year: 2016 Research Domain: Physics Cosmic reionization, the most recent phase transition in the history of the universe, is the process by

    9. Link failure detection in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J.; Blocksome, Michael A.; Megerian, Mark G.; Smith, Brian E.

      2010-11-09

      Methods, apparatus, and products are disclosed for link failure detection in a parallel computer including compute nodes connected in a rectangular mesh network, each pair of adjacent compute nodes in the rectangular mesh network connected together using a pair of links, that includes: assigning each compute node to either a first group or a second group such that adjacent compute nodes in the rectangular mesh network are assigned to different groups; sending, by each of the compute nodes assigned to the first group, a first test message to each adjacent compute node assigned to the second group; determining, by each of the compute nodes assigned to the second group, whether the first test message was received from each adjacent compute node assigned to the first group; and notifying a user, by each of the compute nodes assigned to the second group, whether the first test message was received.

    10. Internode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Miller, Douglas R; Parker, Jeffrey J; Ratterman, Joseph D; Smith, Brian E

      2014-02-11

      Internode data communications in a parallel computer that includes compute nodes that each include main memory and a messaging unit, the messaging unit including computer memory and coupling compute nodes for data communications, in which, for each compute node at compute node boot time: a messaging unit allocates, in the messaging unit's computer memory, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; receives, prior to initialization of a particular process on the compute node, a data communications message intended for the particular process; and stores the data communications message in the message buffer associated with the particular process. Upon initialization of the particular process, the process establishes a messaging buffer in main memory of the compute node and copies the data communications message from the message buffer of the messaging unit into the message buffer of main memory.

    11. Broadcasting a message in a parallel computer

      DOE Patents [OSTI]

      Berg, Jeremy E.; Faraj, Ahmad A.

      2011-08-02

      Methods, systems, and products are disclosed for broadcasting a message in a parallel computer. The parallel computer includes a plurality of compute nodes connected together using a data communications network. The data communications network optimized for point to point data communications and is characterized by at least two dimensions. The compute nodes are organized into at least one operational group of compute nodes for collective parallel operations of the parallel computer. One compute node of the operational group assigned to be a logical root. Broadcasting a message in a parallel computer includes: establishing a Hamiltonian path along all of the compute nodes in at least one plane of the data communications network and in the operational group; and broadcasting, by the logical root to the remaining compute nodes, the logical root's message along the established Hamiltonian path.

    12. Internode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J.; Blocksome, Michael A.; Miller, Douglas R.; Parker, Jeffrey J.; Ratterman, Joseph D.; Smith, Brian E.

      2013-09-03

      Internode data communications in a parallel computer that includes compute nodes that each include main memory and a messaging unit, the messaging unit including computer memory and coupling compute nodes for data communications, in which, for each compute node at compute node boot time: a messaging unit allocates, in the messaging unit's computer memory, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; receives, prior to initialization of a particular process on the compute node, a data communications message intended for the particular process; and stores the data communications message in the message buffer associated with the particular process. Upon initialization of the particular process, the process establishes a messaging buffer in main memory of the compute node and copies the data communications message from the message buffer of the messaging unit into the message buffer of main memory.

    13. TORCH Computational Reference Kernels - A Testbed for Computer Science Research

      SciTech Connect (OSTI)

      Kaiser, Alex; Williams, Samuel Webb; Madduri, Kamesh; Ibrahim, Khaled; Bailey, David H.; Demmel, James W.; Strohmaier, Erich

      2010-12-02

      For decades, computer scientists have sought guidance on how to evolve architectures, languages, and programming models in order to improve application performance, efficiency, and productivity. Unfortunately, without overarching advice about future directions in these areas, individual guidance is inferred from the existing software/hardware ecosystem, and each discipline often conducts their research independently assuming all other technologies remain fixed. In today's rapidly evolving world of on-chip parallelism, isolated and iterative improvements to performance may miss superior solutions in the same way gradient descent optimization techniques may get stuck in local minima. To combat this, we present TORCH: A Testbed for Optimization ResearCH. These computational reference kernels define the core problems of interest in scientific computing without mandating a specific language, algorithm, programming model, or implementation. To compliment the kernel (problem) definitions, we provide a set of algorithmically-expressed verification tests that can be used to verify a hardware/software co-designed solution produces an acceptable answer. Finally, to provide some illumination as to how researchers have implemented solutions to these problems in the past, we provide a set of reference implementations in C and MATLAB.

    14. 2011 Computation Directorate Annual Report

      SciTech Connect (OSTI)

      Crawford, D L

      2012-04-11

      From its founding in 1952 until today, Lawrence Livermore National Laboratory (LLNL) has made significant strategic investments to develop high performance computing (HPC) and its application to national security and basic science. Now, 60 years later, the Computation Directorate and its myriad resources and capabilities have become a key enabler for LLNL programs and an integral part of the effort to support our nation's nuclear deterrent and, more broadly, national security. In addition, the technological innovation HPC makes possible is seen as vital to the nation's economic vitality. LLNL, along with other national laboratories, is working to make supercomputing capabilities and expertise available to industry to boost the nation's global competitiveness. LLNL is on the brink of an exciting milestone with the 2012 deployment of Sequoia, the National Nuclear Security Administration's (NNSA's) 20-petaFLOP/s resource that will apply uncertainty quantification to weapons science. Sequoia will bring LLNL's total computing power to more than 23 petaFLOP/s-all brought to bear on basic science and national security needs. The computing systems at LLNL provide game-changing capabilities. Sequoia and other next-generation platforms will enable predictive simulation in the coming decade and leverage industry trends, such as massively parallel and multicore processors, to run petascale applications. Efficient petascale computing necessitates refining accuracy in materials property data, improving models for known physical processes, identifying and then modeling for missing physics, quantifying uncertainty, and enhancing the performance of complex models and algorithms in macroscale simulation codes. Nearly 15 years ago, NNSA's Accelerated Strategic Computing Initiative (ASCI), now called the Advanced Simulation and Computing (ASC) Program, was the critical element needed to shift from test-based confidence to science-based confidence. Specifically, ASCI/ASC accelerated the development of simulation capabilities necessary to ensure confidence in the nuclear stockpile-far exceeding what might have been achieved in the absence of a focused initiative. While stockpile stewardship research pushed LLNL scientists to develop new computer codes, better simulation methods, and improved visualization technologies, this work also stimulated the exploration of HPC applications beyond the standard sponsor base. As LLNL advances to a petascale platform and pursues exascale computing (1,000 times faster than Sequoia), ASC will be paramount to achieving predictive simulation and uncertainty quantification. Predictive simulation and quantifying the uncertainty of numerical predictions where little-to-no data exists demands exascale computing and represents an expanding area of scientific research important not only to nuclear weapons, but to nuclear attribution, nuclear reactor design, and understanding global climate issues, among other fields. Aside from these lofty goals and challenges, computing at LLNL is anything but 'business as usual.' International competition in supercomputing is nothing new, but the HPC community is now operating in an expanded, more aggressive climate of global competitiveness. More countries understand how science and technology research and development are inextricably linked to economic prosperity, and they are aggressively pursuing ways to integrate HPC technologies into their native industrial and consumer products. In the interest of the nation's economic security and the science and technology that underpins it, LLNL is expanding its portfolio and forging new collaborations. We must ensure that HPC remains an asymmetric engine of innovation for the Laboratory and for the U.S. and, in doing so, protect our research and development dynamism and the prosperity it makes possible. One untapped area of opportunity LLNL is pursuing is to help U.S. industry understand how supercomputing can benefit their business. Industrial investment in HPC applications has historically been limited by the prohibitive cost of entry, the inaccessibility of software to run the powerful systems, and the years it takes to grow the expertise to develop codes and run them in an optimal way. LLNL is helping industry better compete in the global market place by providing access to some of the world's most powerful computing systems, the tools to run them, and the experts who are adept at using them. Our scientists are collaborating side by side with industrial partners to develop solutions to some of industry's toughest problems. The goal of the Livermore Valley Open Campus High Performance Computing Innovation Center is to allow American industry the opportunity to harness the power of supercomputing by leveraging the scientific and computational expertise at LLNL in order to gain a competitive advantage in the global economy.

    15. Computation Directorate 2007 Annual Report

      SciTech Connect (OSTI)

      Henson, V E; Guse, J A

      2008-03-06

      If there is a single word that both characterized 2007 and dominated the thoughts and actions of many Laboratory employees throughout the year, it is transition. Transition refers to the major shift that took place on October 1, when the University of California relinquished management responsibility for Lawrence Livermore National Laboratory (LLNL), and Lawrence Livermore National Security, LLC (LLNS), became the new Laboratory management contractor for the Department of Energy's (DOE's) National Nuclear Security Administration (NNSA). In the 55 years under the University of California, LLNL amassed an extraordinary record of significant accomplishments, clever inventions, and momentous contributions in the service of protecting the nation. This legacy provides the new organization with a built-in history, a tradition of excellence, and a solid set of core competencies from which to build the future. I am proud to note that in the nearly seven years I have had the privilege of leading the Computation Directorate, our talented and dedicated staff has made far-reaching contributions to the legacy and tradition we passed on to LLNS. Our place among the world's leaders in high-performance computing, algorithmic research and development, applications, and information technology (IT) services and support is solid. I am especially gratified to report that through all the transition turmoil, and it has been considerable, the Computation Directorate continues to produce remarkable achievements. Our most important asset--the talented, skilled, and creative people who work in Computation--has continued a long-standing Laboratory tradition of delivering cutting-edge science even in the face of adversity. The scope of those achievements is breathtaking, and in 2007, our accomplishments span an amazing range of topics. From making an important contribution to a Nobel Prize-winning effort to creating tools that can detect malicious codes embedded in commercial software; from expanding BlueGene/L, the world's most powerful computer, by 60% and using it to capture the most prestigious prize in the field of computing, to helping create an automated control system for the National Ignition Facility (NIF) that monitors and adjusts more than 60,000 control and diagnostic points; from creating a microarray probe that rapidly detects virulent high-threat organisms, natural or bioterrorist in origin, to replacing large numbers of physical computer servers with small numbers of virtual servers, reducing operating expense by 60%, the people in Computation have been at the center of weighty projects whose impacts are felt across the Laboratory and the DOE community. The accomplishments I just mentioned, and another two dozen or so, make up the stories contained in this report. While they form an exceptionally diverse set of projects and topics, it is what they have in common that excites me. They share the characteristic of being central, often crucial, to the mission-driven business of the Laboratory. Computational science has become fundamental to nearly every aspect of the Laboratory's approach to science and even to the conduct of administration. It is difficult to consider how we would proceed without computing, which occurs at all scales, from handheld and desktop computing to the systems controlling the instruments and mechanisms in the laboratories to the massively parallel supercomputers. The reasons for the dramatic increase in the importance of computing are manifest. Practical, fiscal, or political realities make the traditional approach to science, the cycle of theoretical analysis leading to experimental testing, leading to adjustment of theory, and so on, impossible, impractical, or forbidden. How, for example, can we understand the intricate relationship between human activity and weather and climate? We cannot test our hypotheses by experiment, which would require controlled use of the entire earth over centuries. It is only through extremely intricate, detailed computational simulation that we can test our theories, and simulating weather and climate over the entire globe requires the most massive high-performance computers that exist. Such extreme problems are found in numerous laboratory missions, including astrophysics, weapons programs, materials science, and earth science.

    16. Presentation: High Performance Computing Applications | Department of

      Energy Savers [EERE]

      Energy High Performance Computing Applications Presentation: High Performance Computing Applications A briefing to the Secretary's Energy Advisory Board on High Performance Computing Applications delivered by Frederick H. Streitz, Lawrence Livermore National Laboratory. PDF icon High Performance Computing More Documents & Publications Presentation: QER Energy Topics DOEs Effort to Reduce Truck Aerodynamic Drag through Joint Experiments and Computations Vehicle Technologies Office Merit

    17. NERSC seeks Computational Systems Group Lead

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      seeks Computational Systems Group Lead NERSC seeks Computational Systems Group Lead January 6, 2011 by Katie Antypas Note: This position is now closed. The Computational Systems Group provides production support and advanced development for the supercomputer systems at NERSC. Manage the Computational Systems Group (CSG) which provides production support and advanced development for the supercomputer systems at NERSC (National Energy Research Scientific Computing Center). These systems, which

    18. Extreme Scale Computing, Co-design

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Information Science, Computing, Applied Math » Extreme Scale Computing, Co-design Extreme Scale Computing, Co-design Computational co-design may facilitate revolutionary designs in the next generation of supercomputers. Get Expertise Tim Germann Physics and Chemistry of Materials Email Allen McPherson Energy and Infrastructure Analysis Email Turab Lookman Physics and Condensed Matter and Complex Systems Email Computational co-design involves developing the interacting components of a

    19. NERSC Enhances PDSF, Genepool Computing Capabilities

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Enhances PDSF, Genepool Computing Capabilities NERSC Enhances PDSF, Genepool Computing Capabilities Linux cluster expansion speeds data access and analysis January 3, 2014 Christmas came early for users of the Parallel Distributed Systems Facility (PDSF) and Genepool systems at Department of Energy's National Energy Research Scientific Computer Center (NERSC). Throughout November members of NERSC's Computational Systems Group were busy expanding the Linux computing resources that support PDSF's

    20. Visitor Hanford Computer Access Request - Hanford Site

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Visitor Hanford Computer Access Request Visitor Hanford Computer Access Request Visitor Hanford Computer Access Request Visitor Hanford Computer Access Request Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size The U.S. Department of Energy (DOE), Richland Operations Office (RL), in compliance with the 'Tri-Party Agreement Databases, Access Mechanism and Procedures' document, DOE/RL-93-69, Revision 5; set forth the requirements for access to the Hanford Site computer

    1. Advanced Computing Tech Team | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Computing Tech Team Advanced Computing Tech Team Advanced Computing Tech Team The Advanced Computing Tech Team is working with the DOE Energy Technology Offices, the Office of Science, and the National Nuclear Security Administration to deliver technologies that will be used to create new scientific insights into complex physical systems. Advanced computing technologies have been used for decades to provide better understanding of the performance and reliability of the nuclear stockpile

    2. Theory & Computation > Research > The Energy Materials Center at Cornell

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Theory & Computation In This Section Computation & Simulation Theory & Computation Computation & Simulation

    3. Numerical computation of Pop plot

      SciTech Connect (OSTI)

      Menikoff, Ralph

      2015-03-23

      The Pop plot — distance-of-run to detonation versus initial shock pressure — is a key characterization of shock initiation in a heterogeneous explosive. Reactive burn models for high explosives (HE) must reproduce the experimental Pop plot to have any chance of accurately predicting shock initiation phenomena. This report describes a methodology for automating the computation of a Pop plot for a specific explosive with a given HE model. Illustrative examples of the computation are shown for PBX 9502 with three burn models (SURF, WSD and Forest Fire) utilizing the xRage code, which is the Eulerian ASC hydrocode at LANL. Comparison of the numerical and experimental Pop plot can be the basis for a validation test or as an aid in calibrating the burn rate of an HE model. Issues with calibration are discussed.

    4. Addressing failures in exascale computing

      SciTech Connect (OSTI)

      Snir, Marc; Wisniewski, Robert W.; Abraham, Jacob A.; Adve, Sarita; Bagchi, Saurabh; Balaji, Pavan; Belak, Jim; Bose, Pradip; Cappello, Franck; Carlson, William; Chien, Andrew A.; Coteus, Paul; Debardeleben, Nathan A.; Diniz, Pedro; Engelmann, Christian; Erez, Mattan; Saverio, Fazzari; Geist, Al; Gupta, Rinku; Johnson, Fred; Krishnamoorthy, Sriram; Leyffer, Sven; Liberty, Dean; Mitra, Subhasish; Munson, Todd; Schreiber, Robert; Stearly, Jon; Van Hensbergen, Eric

      2014-05-01

      We present here a report produced by a workshop on Addressing Failures in Exascale Computing held in Park City, Utah, August 411, 2012. The charter of this workshop was to establish a common taxonomy about resilience across all the levels in a computing system; discuss existing knowledge on resilience across the various hardware and software layers of an exascale system; and build on those results, examining potential solutions from both a hardware and software perspective and focusing on a combined approach. The workshop brought together participants with expertise in applications, system software, and hardware; they came from industry, government, and academia; and their interests ranged from theory to implementation. The combination allowed broad and comprehensive discussions and led to this document, which summarizes and builds on those discussions.

    5. QBox | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Data Transfer Debugging & Profiling Performance Tools & APIs Software & Libraries Boost CPMD Code_Saturne GAMESS GPAW GROMACS LAMMPS MADNESS QBox IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] QBox What is Qbox? Qbox is a C++/MPI scalable parallel implementation of first-principles molecular dynamics (FPMD) based on the plane-wave, pseudopotential

    6. Advanced Simulation and Computing Program

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Advanced Simulation and Computing (ASC) Program Unstable intermixing of heavy (sulfur hexafluoride) and light fluid (air). Show Caption Turbulence generated by unstable fluid flow. Show Caption Examining the effects of a one-megaton nuclear energy source detonated on the surface of an asteroid. Show Caption Los Alamos National Laboratory is home to two of the world's most powerful supercomputers, each capable of performing more than 1,000 trillion operations per second. The newer one, Cielo, was

    7. Molecular Science Computing: 2010 Greenbook

      SciTech Connect (OSTI)

      De Jong, Wibe A.; Cowley, David E.; Dunning, Thom H.; Vorpagel, Erich R.

      2010-04-02

      This 2010 Greenbook outlines the science drivers for performing integrated computational environmental molecular research at EMSL and defines the next-generation HPC capabilities that must be developed at the MSC to address this critical research. The EMSL MSC Science Panel used EMSL’s vision and science focus and white papers from current and potential future EMSL scientific user communities to define the scientific direction and resulting HPC resource requirements presented in this 2010 Greenbook.

    8. Policies | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Accounts Policy Account Sponsorship & Retention Policy ALCC Quarterly Report Policy ALCF Acknowledgment Policy Data Policy INCITE Quarterly Report Policy Job Scheduling Policy on BG/Q Job Scheduling Policies on Cooley Pullback Policy Refund Policy Software Policy User Authentication Policy Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Policies Official policies and procedures of the ALCF.

    9. Programs | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      INCITE Program ALCC Program Director's Discretionary (DD) Program ALCF Data Science Program Early Science Program INCITE 2016 Projects ALCC 2015 Projects ESP Projects View All Projects Publications ALCF Tech Reports Industry Collaborations Featured Science Simulation of cosmic reionization Cosmic Reionization On Computers Nickolay Gnedin Allocation Program: INCITE Allocation Hours: 65 Million Addressing Challenges As a DOE Office of Science User Facility dedicated to open science, any

    10. Projects | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Projects bgclang Compiler Hal Finkel Cobalt Scheduler Bill Allcock, Paul Rich, Brian Toonen, Tom Uram GLEAN: Scalable In Situ Analysis and I/O Acceleration on Leadership Computing Systems Michael E. Papka, Venkat Vishwanath, Mark Hereld, Preeti Malakar, Joe Insley, Silvio Rizzi, Tom Uram Petrel: Data Management and Sharing Pilot Ian Foster, Michael E. Papka, Bill Allcock, Ben Allen, Rachana Ananthakrishnan, Lukasz Lacinski The Swift Parallel Scripting Language for ALCF Systems Michael Wilde,

    11. Thrusts in High Performance Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      in HPC 1 Thrusts in High Performance Computing Science at Scale Petaflops to Exaflops Science through Volume Thousands to Millions of Simulations Science in Data Petabytes to Exabytes of Data 2 Science at Scale: Simulations Aid in Understanding Climate Impacts 3 Antarctic ice speed (left): AMR enables sub-1 km resolution (black, above) (Using NERSC's Hopper) BISICLES Pine Island Glacier simulation - mesh resolution crucial for grounding line behavior. Enhanced POP ocean model solution for

    12. gdb | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Allinea DDT Core File Settings Determining Memory Use Using VNC with a Debugger bgq_stack gdb Coreprocessor Runjob termination TotalView Performance Tools & APIs Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] gdb Using gdb Preliminaries You should prepare a debug version of your code: Compile using -O0 -g If you are using the XL

    13. TRIDAC host computer functional specification

      SciTech Connect (OSTI)

      Hilbert, S.M.; Hunter, S.L.

      1983-08-23

      The purpose of this document is to outline the baseline functional requirements for the Triton Data Acquisition and Control (TRIDAC) Host Computer Subsystem. The requirements presented in this document are based upon systems that currently support both the SIS and the Uranium Separator Technology Groups in the AVLIS Program at the Lawrence Livermore National Laboratory and upon the specific demands associated with the extended safe operation of the SIS Triton Facility.

    14. GAMESS | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Performance Tools & APIs Software & Libraries Boost CPMD Code_Saturne GAMESS GPAW GROMACS LAMMPS MADNESS QBox IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] GAMESS What Is GAMESS? The General Atomic and Molecular Electronic Structure System (GAMESS) is a general ab initio quantum chemistry package. For more information on GAMESS, see the Gordon research

    15. HPCTW | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Tuning MPI on BG/Q Tuning and Analysis Utilities (TAU) HPCToolkit HPCTW mpiP gprof Profiling Tools Darshan PAPI BG/Q Performance Counters BGPM Openspeedshop Scalasca BG/Q DGEMM Performance Automatic Performance Collection (AutoPerf) Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] HPCTW Introduction HPCTW is a set of libraries that may be

    16. HPCToolkit | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Tuning MPI on BG/Q Tuning and Analysis Utilities (TAU) HPCToolkit HPCTW mpiP gprof Profiling Tools Darshan PAPI BG/Q Performance Counters BGPM Openspeedshop Scalasca BG/Q DGEMM Performance Automatic Performance Collection (AutoPerf) Software & Libraries IBM References Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] HPCToolkit References HPCToolkit Website HPCT Documentation

    17. Towards Energy-Centric Computing and Computer Architecture

      SciTech Connect (OSTI)

      2011-02-09

      Technology forecasts indicate that device scaling will continue well into the next decade. Unfortunately, it is becoming extremely difficult to harness this increase in the number of transistorsinto performance due to a number of technological, circuit, architectural, methodological and programming challenges.In this talk, I will argue that the key emerging showstopper is power. Voltage scaling as a means to maintain a constant power envelope with an increase in transistor numbers is hitting diminishing returns. As such, to continue riding the Moore's law we need to look for drastic measures to cut power. This is definitely the case for server chips in future datacenters,where abundant server parallelism, redundancy and 3D chip integration are likely to remove programming, reliability and bandwidth hurdles, leaving power as the only true limiter.I will present results backing this argument based on validated models for future server chips and parameters extracted from real commercial workloads. Then I use these results to project future research directions for datacenter hardware and software.About the speakerBabak Falsafi is a Professor in the School of Computer and Communication Sciences at EPFL, and an Adjunct Professor of Electrical and Computer Engineering and Computer Science at Carnegie Mellon. He is thefounder and the director ofthe Parallel Systems Architecture Laboratory (PARSA) at EPFL where he conducts research onarchitectural support for parallel programming, resilient systems, architectures to break the memory wall, and analytic and simulation tools for computer system performance evaluation.In 1999, in collaboration with T. N. Vijaykumar he showed for the first time that, contrary to conventional wisdom,multiprocessors do not needrelaxed memory consistency models (and the resulting convoluted programming interfaces found and used in modern systems) to achieve high performance. He is a recipient of an NSF CAREER award in 2000, IBM Faculty Partnership Awards between 2001 and 2004, and an Alfred P. Sloan Research Fellowship in 2004. He is a senior member of IEEE and ACM.

    18. Inspection of management of excess personal property at Rocky Flats

      SciTech Connect (OSTI)

      Not Available

      1993-05-17

      Inspection revealed that immediate management attention is needed to properly control, store, and dispose of excess personal property at Rocky Flats. Current system of operation does not allow for efficient, timely, cost effective management; current storage and disposal practices are not consistent with contract requirements or DOE policies and procedures. Other deficiencies are pointed out. Results of inspection are divided into 4 sections: contract changeover issues, moratorium issues, additional excess property issues, and award fee observations. Recommendations are outlined.

    19. Limited Personal Use of Government Office Equipment including Information Technology

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2005-01-07

      The Order establishes requirements and assigns responsibilities for employees' limited personal use of Government resources (office equipment and other resources including information technology) within DOE, including NNSA. The Order is required to provide guidance on appropriate and inappropriate uses of Government resources. This Order was certified 04/23/2009 as accurate and continues to be relevant and appropriate for use by the Department. Certified 4-23-09. No cancellation.

    20. Being personally invested makes the difference | Princeton Plasma Physics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Lab Being personally invested makes the difference By Gale Scott May 23, 2011 Tweet Widget Google Plus One Share on Facebook Arlene White. (Photo by Elle Starkman, PPPL Office of Communications) Arlene White. Striding down the halls of the U.S. Department of Energy's Princeton Plasma Physics Laboratory, Arlene White is a standout presence. Her fashionable black suit carefully accessorized, and flashing a dazzling smile, White looks more like the Manhattan runway model she was as a teenager

    1. Ames Laboratory Personal Information Form | The Ames Laboratory

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Ames Laboratory Personal Information Form ATTENTION: Forms that reside in an employee's official personnel file (OPF) now have barcodes in the bottom right-hand corner. The most common forms are the Personnel Requisitions, Change/Reappointment Requisition, AL-473 form, and Associateship form. The barcodes were placed on the forms for the Content Management system that Human Resources will implement to scan employee records. Effective immediately, if old versions of official personnel file (OPF)

    2. Controlling data transfers from an origin compute node to a target compute node

      DOE Patents [OSTI]

      Archer, Charles J.; Blocksome, Michael A.; Ratterman, Joseph D.; Smith, Brian E.

      2011-06-21

      Methods, apparatus, and products are disclosed for controlling data transfers from an origin compute node to a target compute node that include: receiving, by an application messaging module on the target compute node, an indication of a data transfer from an origin compute node to the target compute node; and administering, by the application messaging module on the target compute node, the data transfer using one or more messaging primitives of a system messaging module in dependence upon the indication.

    3. Toward Molecular Catalysts by Computer

      SciTech Connect (OSTI)

      Raugei, Simone; DuBois, Daniel L.; Rousseau, Roger J.; Chen, Shentan; Ho, Ming-Hsun; Bullock, R. Morris; Dupuis, Michel

      2015-02-17

      Rational design of molecular catalysts requires a systematic approach to designing ligands with specific functionality and precisely tailored electronic and steric properties. It then becomes possible to devise computer protocols to predict accurately the required properties and ultimately to design catalysts by computer. In this account we first review how thermodynamic properties such as oxidation-reduction potentials (E0), acidities (pKa), and hydride donor abilities (ΔGH-) form the basis for a systematic design of molecular catalysts for reactions that are critical for a secure energy future (hydrogen evolution and oxidation, oxygen and nitrogen reduction, and carbon dioxide reduction). We highlight how density functional theory allows us to determine and predict these properties within “chemical” accuracy (~ 0.06 eV for redox potentials, ~ 1 pKa unit for pKa values, and ~ 1.5 kcal/mol for hydricities). These quantities determine free energy maps and profiles associated with catalytic cycles, i.e. the relative energies of intermediates, and help us distinguish between desirable and high-energy pathways and mechanisms. Good catalysts have flat profiles that avoid high activation barriers due to low and high energy intermediates. We illustrate how the criterion of a flat energy profile lends itself to the prediction of design points by computer for optimum catalysts. This research was carried out in the Center for Molecular Electro-catalysis, an Energy Frontier Research Center funded by the U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences. Pacific Northwest National Laboratory (PNNL) is operated for the DOE by Battelle.

    4. GPU COMPUTING FOR PARTICLE TRACKING

      SciTech Connect (OSTI)

      Nishimura, Hiroshi; Song, Kai; Muriki, Krishna; Sun, Changchun; James, Susan; Qin, Yong

      2011-03-25

      This is a feasibility study of using a modern Graphics Processing Unit (GPU) to parallelize the accelerator particle tracking code. To demonstrate the massive parallelization features provided by GPU computing, a simplified TracyGPU program is developed for dynamic aperture calculation. Performances, issues, and challenges from introducing GPU are also discussed. General purpose Computation on Graphics Processing Units (GPGPU) bring massive parallel computing capabilities to numerical calculation. However, the unique architecture of GPU requires a comprehensive understanding of the hardware and programming model to be able to well optimize existing applications. In the field of accelerator physics, the dynamic aperture calculation of a storage ring, which is often the most time consuming part of the accelerator modeling and simulation, can benefit from GPU due to its embarrassingly parallel feature, which fits well with the GPU programming model. In this paper, we use the Tesla C2050 GPU which consists of 14 multi-processois (MP) with 32 cores on each MP, therefore a total of 448 cores, to host thousands ot threads dynamically. Thread is a logical execution unit of the program on GPU. In the GPU programming model, threads are grouped into a collection of blocks Within each block, multiple threads share the same code, and up to 48 KB of shared memory. Multiple thread blocks form a grid, which is executed as a GPU kernel. A simplified code that is a subset of Tracy++ [2] is developed to demonstrate the possibility of using GPU to speed up the dynamic aperture calculation by having each thread track a particle.

    5. computational-structural-mechanics-training

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Table of Contents Date Location Training Course: HyperMesh and HyperView April 12-14, 2011 Argonne TRACC Argonne, IL Introductory Course: Developing Compute-efficient, Quality Models with LS-PrePost® 3 on the TRACC Cluster October 21-22, 2010 Argonne TRACC West Chicago, IL Modeling and Simulation with LS-DYNA®: Insights into Modeling with a Goal of Providing Credible Predictive Simulations February 11-12, 2010 Argonne TRACC West Chicago, IL Introductory Course: Using LS-OPT® on the TRACC

    6. computational-hydaulics-march-30

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and Aerodynamics using STAR-CCM+ for CFD Analysis March 30-31, 2011 Argonne, Illinois Dr. Steven Lottes This email address is being protected from spambots. You need JavaScript enabled to view it. Announcement pdficon small A training course in the use of computational hydraulics and aerodynamics CFD software using CD-adapco's STAR-CCM+ for analysis was held at TRACC from March 30-31, 2011. The course assumes a basic knowledge of fluid mechanics and made extensive use of hands on tutorials.

    7. Scott Runnels of Computational Physics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Scott Runnels of Computational Physics to teach at West Point March 19, 2013 LOS ALAMOS, N. M., March 19, 2013- Under an agreement between Los Alamos National Laboratory and the U.S. Military Academy, Scott Runnels has been selected for a two-year faculty post in the Department of Physics and Nuclear Engineering at West Point. The teaching position is intended to strengthen the ties between the U.S. national laboratories and the U.S. military academies by bringing in a top scientist to teach at

    8. An Arbitrary Precision Computation Package

      Energy Science and Technology Software Center (OSTI)

      2003-06-14

      This package permits a scientist to perform computations using an arbitrarily high level of numeric precision (the equivalent of hundreds or even thousands of digits), by making only minor changes to conventional C++ or Fortran-90 soruce code. This software takes advantage of certain properties of IEEE floating-point arithmetic, together with advanced numeric algorithms, custom data types and operator overloading. Also included in this package is the "Experimental Mathematician's Toolkit", which incorporates many of these facilitiesmore » into an easy-to-use interactive program.« less

    9. Collectively loading an application in a parallel computer

      DOE Patents [OSTI]

      Aho, Michael E.; Attinella, John E.; Gooding, Thomas M.; Miller, Samuel J.; Mundy, Michael B.

      2016-01-05

      Collectively loading an application in a parallel computer, the parallel computer comprising a plurality of compute nodes, including: identifying, by a parallel computer control system, a subset of compute nodes in the parallel computer to execute a job; selecting, by the parallel computer control system, one of the subset of compute nodes in the parallel computer as a job leader compute node; retrieving, by the job leader compute node from computer memory, an application for executing the job; and broadcasting, by the job leader to the subset of compute nodes in the parallel computer, the application for executing the job.

    10. Computer network control plane tampering monitor

      DOE Patents [OSTI]

      Michalski, John T.; Tarman, Thomas D.; Black, Stephen P.; Torgerson, Mark D.

      2010-06-08

      A computer network control plane tampering monitor that detects unauthorized alteration of a label-switched path setup for an information packet intended for transmission through a computer network.

    11. NERSC Intern Wins Award for Computing Achievement

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      (NCWIT) Aspirations in Computing award on Saturday, March 16, 2013 in a ceremony in San Jose, CA. The award honors young women at the high school level for their computing-related...

    12. Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering (Presentation)

      SciTech Connect (OSTI)

      Kim, G.; Pesaran, A.; Smith, K.; Graf, P.; Jun, M.; Yang, C.; Li, G.; Li, S.; Hochman, A.; Tselepidakis, D.; White, J.

      2014-06-01

      This presentation discusses the significant enhancement of computational efficiency in nonlinear multiscale battery model for computer aided engineering in current research at NREL.

    13. High Performance Computational Biology: A Distributed computing Perspective (2010 JGI/ANL HPC Workshop)

      ScienceCinema (OSTI)

      Konerding, David [Google, Inc

      2011-06-08

      David Konerding from Google, Inc. gives a presentation on "High Performance Computational Biology: A Distributed Computing Perspective" at the JGI/Argonne HPC Workshop on January 26, 2010.

    14. Wedge sampling for computing clustering coefficients and triangle counts on large graphs

      DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

      Seshadhri, C.; Pinar, Ali; Kolda, Tamara G.

      2014-05-08

      Graphs are used to model interactions in a variety of contexts, and there is a growing need to quickly assess the structure of such graphs. Some of the most useful graph metrics are based on triangles, such as those measuring social cohesion. Despite the importance of these triadic measures, algorithms to compute them can be extremely expensive. We discuss the method of wedge sampling. This versatile technique allows for the fast and accurate approximation of various types of clustering coefficients and triangle counts. Furthermore, these techniques are extensible to counting directed triangles in digraphs. Our methods come with provable andmore » practical time-approximation tradeoffs for all computations. We provide extensive results that show our methods are orders of magnitude faster than the state of the art, while providing nearly the accuracy of full enumeration.« less

    15. Title 43 CFR 3214 Personal and Surety Bonds | Open Energy Information

      Open Energy Info (EERE)

      14 Personal and Surety Bonds Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- Federal RegulationFederal Regulation: Title 43 CFR 3214 Personal and...

    16. U-114: IBM Personal Communications WS File Processing Buffer Overflow Vulnerability

      Broader source: Energy.gov [DOE]

      A vulnerability in WorkStation files (.ws) by IBM Personal Communications could allow a remote attacker to cause a denial of service (application crash) or potentially execute arbitrary code on vulnerable installations of IBM Personal Communications.

    17. Fact #778: May 6, 2013 Vehicles per Thousand Persons Rising Quickly...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      per Thousand Persons Rising Quickly in China and India Fact 778: May 6, 2013 Vehicles per Thousand Persons Rising Quickly in China and India The number of vehicles per ...

    18. NREL: Measurements and Characterization - Computational Modeling

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Modeling Graphic of a computational modeling graph Computational modeling sheds light how grain-boundary charge can affect solar cell current collection. The National Renewable Energy Laboratory (NREL) is making advances in computational modeling. Previous technology was limited to one-dimensional solar cell models and focused on current-voltage curves and quantum-efficiency spectra. NREL has advanced this technology to two-dimensional solar cell models, and expanded modeling

    19. National Energ y Research Scientific Computing Center

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Annual Report This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC 03-76SF00098. LBNL-49186, December 2001 National Energ y Research Scientific Computing Center 2001 Annual Report NERSC aspires to be a world leader in accelerating scientific discovery through computation. Our vision is to provide high- performance computing tools to tackle science's biggest and most challenging

    20. NERSC National Energy Research Scientific Computing Center

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      National Energy Research Scientific Computing Center 2007 Annual Report National Energy Research Scientific Computing Center 2007 Annual Report Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, Berkeley, CA 94720-8148 This work was supported by the Director, Office of Science, Office of Ad- vanced Scientific Computing Research of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. LBNL-1143E, October 2008 iii National Energy Research Scientific Computing

    1. User Guides | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Allocations Mira/Cetus/Vesta Cooley Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] User Guides Information and instructions on system access, computing environment, running jobs, debugging and tuning performance for our computing resources at the ALCF. How to Get an Allocation How to get an Allocation: You must be awarded an allocation in order to use our computer systems. Please

    2. Computational Physicist | Princeton Plasma Physics Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Physicist Department: Theory Supervisor(s): Steve Jardin Staff: ENG 04 Requisition Number: 16000352 This position is in the Computational Plasma Physics Group. PPPL seeks a computational physicist for the TRANSP development and CPPG (Computational Plasma Physics Group) support group. The TRANSP software package is used by fusion physicists worldwide for comprehensive analysis and interpretation of data from magnetic-confinement fusion experiments and to predict the performance of

    3. NERSC Intern Wins Award for Computing Achievement

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Intern Wins Award for Computing Achievement NERSC Intern Wins Award for Computing Achievement March 27, 2013 Linda Vu, lvu@lbl.gov, +1 510 495 2402 ncwit1 Stephanie Cabanela, a student intern in the National Energy Research Scientific Computing Center's (NERSC) Operation Technologies Group was honored with the Bay Area Affiliate National Center for Women and Information Technology (NCWIT) Aspirations in Computing award on Saturday, March 16, 2013 in a ceremony in San Jose, CA. The award honors

    4. advanced simulation and computing | National Nuclear Security

      National Nuclear Security Administration (NNSA)

      Administration advanced simulation and computing NNSA's missions get a boost from brain-inspired, radically different computer design The first computers to contribute to the nation's nuclear security work used thousands of vacuum tubes-which resembled fat light bulbs that gave off lots of heat-and consumed 125 kW of power to perform around 1,900 operations per second. This month NNSA's Lawrence Livermore National Laboratory (... NNSA Announces Procurement of Penguin Computing Clusters to

    5. PNNL: Staff Search - Fundamental & Computational Sciences Directorate

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Divisions Advanced Computing, Mathematics & Data Atmospheric Sciences & Global Change Biological Sciences Physical Sciences User Facilities Environmental Molecular Sciences ...

    6. Future Computing Needs for Innovative Confinement Concepts

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      of Plasma Science and Innovation Center Current Computing Utilization and Resources Near Term Needs Concluding Comments Future Computing Needs for Innovative Confinement Concepts Charlson C. Kim charlson@aa.washington.edu Plasma Science and Innovation Center University of Washington, Seattle August 3, 2010 Large Scale Computing Needs for Fusion Energy Science Workshop Rockville, MD Charlson C. Kim, PSI-Center Future Computing Needs of ICC's Introduction of Plasma Science and Innovation Center

    7. Validating Computer-Designed Proteins for Vaccines

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Validating Computer-Designed Proteins for Vaccines Validating Computer-Designed Proteins for Vaccines Print Thursday, 21 August 2014 12:05 In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent

    8. Computing contingency statistics in parallel.

      SciTech Connect (OSTI)

      Bennett, Janine Camille; Thompson, David; Pebay, Philippe Pierre

      2010-09-01

      Statistical analysis is typically used to reduce the dimensionality of and infer meaning from data. A key challenge of any statistical analysis package aimed at large-scale, distributed data is to address the orthogonal issues of parallel scalability and numerical stability. Many statistical techniques, e.g., descriptive statistics or principal component analysis, are based on moments and co-moments and, using robust online update formulas, can be computed in an embarrassingly parallel manner, amenable to a map-reduce style implementation. In this paper we focus on contingency tables, through which numerous derived statistics such as joint and marginal probability, point-wise mutual information, information entropy, and {chi}{sup 2} independence statistics can be directly obtained. However, contingency tables can become large as data size increases, requiring a correspondingly large amount of communication between processors. This potential increase in communication prevents optimal parallel speedup and is the main difference with moment-based statistics where the amount of inter-processor communication is independent of data size. Here we present the design trade-offs which we made to implement the computation of contingency tables in parallel.We also study the parallel speedup and scalability properties of our open source implementation. In particular, we observe optimal speed-up and scalability when the contingency statistics are used in their appropriate context, namely, when the data input is not quasi-diffuse.

    9. Microsoft PowerPoint - PetascaleComputing-042005

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      05 SRC Computers, Inc. ALL RIGHTS RESERVED www.srccomputers.com FPGA Based FPGA Based Petascale Petascale Computing Computing Dan Poznanovic Dan Poznanovic SRC Computers, Inc. SRC Computers, Inc. The The Salishan Salishan Conference on High Conference on High - - Speed Computing Speed Computing April 20, 2005 April 20, 2005 poz@srccomp.com poz@srccomp.com Copyright© 2005 SRC Computers, Inc. ALL RIGHTS RESERVED www.srccomputers.com Dan Poznanovic Dan Poznanovic SRC Computers, Inc. SRC Computers,

    10. Computer System Retirement Guidelines | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Computer System Retirement Guidelines Computer System Retirement Guidelines The System Retirement template contains DOE headquarters-specific information that may be adapted for use by any site or organization PDF icon Computer System Retirement Guidelines More Documents & Publications DOE F 1324.9 Records Management Handbook Records Management Handbook

    11. Argonne's Laboratory computing center - 2007 annual report.

      SciTech Connect (OSTI)

      Bair, R.; Pieper, G. W.

      2008-05-28

      Argonne National Laboratory founded the Laboratory Computing Resource Center (LCRC) in the spring of 2002 to help meet pressing program needs for computational modeling, simulation, and analysis. The guiding mission is to provide critical computing resources that accelerate the development of high-performance computing expertise, applications, and computations to meet the Laboratory's challenging science and engineering missions. In September 2002 the LCRC deployed a 350-node computing cluster from Linux NetworX to address Laboratory needs for mid-range supercomputing. This cluster, named 'Jazz', achieved over a teraflop of computing power (1012 floating-point calculations per second) on standard tests, making it the Laboratory's first terascale computing system and one of the 50 fastest computers in the world at the time. Jazz was made available to early users in November 2002 while the system was undergoing development and configuration. In April 2003, Jazz was officially made available for production operation. Since then, the Jazz user community has grown steadily. By the end of fiscal year 2007, there were over 60 active projects representing a wide cross-section of Laboratory expertise, including work in biosciences, chemistry, climate, computer science, engineering applications, environmental science, geoscience, information science, materials science, mathematics, nanoscience, nuclear engineering, and physics. Most important, many projects have achieved results that would have been unobtainable without such a computing resource. The LCRC continues to foster growth in the computational science and engineering capability and quality at the Laboratory. Specific goals include expansion of the use of Jazz to new disciplines and Laboratory initiatives, teaming with Laboratory infrastructure providers to offer more scientific data management capabilities, expanding Argonne staff use of national computing facilities, and improving the scientific reach and performance of Argonne's computational applications. Furthermore, recognizing that Jazz is fully subscribed, with considerable unmet demand, the LCRC has framed a 'path forward' for additional computing resources.

    12. Foundational Tools for Petascale Computing

      SciTech Connect (OSTI)

      Miller, Barton

      2014-05-19

      The Paradyn project has a history of developing algorithms, techniques, and software that push the cutting edge of tool technology for high-end computing systems. Under this funding, we are working on a three-year agenda to make substantial new advances in support of new and emerging Petascale systems. The overall goal for this work is to address the steady increase in complexity of these petascale systems. Our work covers two key areas: (1) The analysis, instrumentation and control of binary programs. Work in this area falls under the general framework of the Dyninst API tool kits. (2) Infrastructure for building tools and applications at extreme scale. Work in this area falls under the general framework of the MRNet scalability framework. Note that work done under this funding is closely related to work done under a contemporaneous grant, “High-Performance Energy Applications and Systems”, SC0004061/FG02-10ER25972, UW PRJ36WV.

    13. Collective network for computer structures

      DOE Patents [OSTI]

      Blumrich, Matthias A.; Coteus, Paul W.; Chen, Dong; Gara, Alan; Giampapa, Mark E.; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E.; Steinmacher-Burow, Burkhard D.; Vranas, Pavlos M.

      2011-08-16

      A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices ate included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network and class structures. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to needs of a processing algorithm.

    14. Collective network for computer structures

      DOE Patents [OSTI]

      Blumrich, Matthias A; Coteus, Paul W; Chen, Dong; Gara, Alan; Giampapa, Mark E; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E; Steinmacher-Burow, Burkhard D; Vranas, Pavlos M

      2014-01-07

      A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to the needs of a processing algorithm.

    15. ASCR Workshop on Quantum Computing for Science

      SciTech Connect (OSTI)

      Aspuru-Guzik, Alan; Van Dam, Wim; Farhi, Edward; Gaitan, Frank; Humble, Travis; Jordan, Stephen; Landahl, Andrew J; Love, Peter; Lucas, Robert; Preskill, John; Muller, Richard P.; Svore, Krysta; Wiebe, Nathan; Williams, Carl

      2015-06-01

      This report details the findings of the DOE ASCR Workshop on Quantum Computing for Science that was organized to assess the viability of quantum computing technologies to meet the computational requirements of the DOE’s science and energy mission, and to identify the potential impact of quantum technologies. The workshop was held on February 17-18, 2015, in Bethesda, MD, to solicit input from members of the quantum computing community. The workshop considered models of quantum computation and programming environments, physical science applications relevant to DOE's science mission as well as quantum simulation, and applied mathematics topics including potential quantum algorithms for linear algebra, graph theory, and machine learning. This report summarizes these perspectives into an outlook on the opportunities for quantum computing to impact problems relevant to the DOE’s mission as well as the additional research required to bring quantum computing to the point where it can have such impact.

    16. Cupola Furnace Computer Process Model

      SciTech Connect (OSTI)

      Seymour Katz

      2004-12-31

      The cupola furnace generates more than 50% of the liquid iron used to produce the 9+ million tons of castings annually. The cupola converts iron and steel into cast iron. The main advantages of the cupola furnace are lower energy costs than those of competing furnaces (electric) and the ability to melt less expensive metallic scrap than the competing furnaces. However the chemical and physical processes that take place in the cupola furnace are highly complex making it difficult to operate the furnace in optimal fashion. The results are low energy efficiency and poor recovery of important and expensive alloy elements due to oxidation. Between 1990 and 2004 under the auspices of the Department of Energy, the American Foundry Society and General Motors Corp. a computer simulation of the cupola furnace was developed that accurately describes the complex behavior of the furnace. When provided with the furnace input conditions the model provides accurate values of the output conditions in a matter of seconds. It also provides key diagnostics. Using clues from the diagnostics a trained specialist can infer changes in the operation that will move the system toward higher efficiency. Repeating the process in an iterative fashion leads to near optimum operating conditions with just a few iterations. More advanced uses of the program have been examined. The program is currently being combined with an ''Expert System'' to permit optimization in real time. The program has been combined with ''neural network'' programs to affect very easy scanning of a wide range of furnace operation. Rudimentary efforts were successfully made to operate the furnace using a computer. References to these more advanced systems will be found in the ''Cupola Handbook''. Chapter 27, American Foundry Society, Des Plaines, IL (1999).

    17. Clearance and Release of Personal Property From Accelerator Facilities

      Office of Environmental Management (EM)

      TS NOT MEASUREMENT SENSITIVE DOE-STD-6004-2016 March 2016 DOE STANDARD CLEARANCE AND RELEASE OF PERSONAL PROPERTY FROM ACCELERATOR FACILITIES U.S. Department of Energy Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. DOE-STD-6004-2016 Available to the public on the DOE Technical Standards Program website at http://energy.gov/ehss/services/nuclear-safety/department-energy-technical-standards-program. ii DOE-STD-6004-2016 FOREWORD This

    18. Apparatuses and methods of determining if a person operating equipment is experiencing an elevated cognitive load

      DOE Patents [OSTI]

      Watkins, Michael L.; Keller, Paul Edwin; Amaya, Ivan A.

      2015-06-16

      A method of, and apparatus for, determining if a person operating equipment is experiencing an elevated cognitive load, wherein the person's use of a device at a first time is monitored so as to set a baseline signature. Then, at a later time, the person's use of the device is monitored to determine the person's performance at the second time, as represented by a performance signature. This performance signature can then be compared against the baseline signature to predict whether the person is experiencing an elevated cognitive load.

    19. Chameleon: A Computer Science Testbed as Application of Cloud...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Chameleon: A Computer Science Testbed as Application of Cloud Computing Event Sponsor: Mathematics and Computing Science Brownbag Lunch Start Date: Dec 15 2015 - 12:00pm Building...

    20. Technical Standards, Guidance on MELCOR computer code - May 3...

      Office of Environmental Management (EM)

      Standards, Guidance on MELCOR computer code - May 3, 2004 Technical Standards, Guidance on MELCOR computer code - May 3, 2004 May 3, 2004 MELCOR Computer Code Application Guidance...

    1. Previous Computer Science Award Announcements | U.S. DOE Office...

      Office of Science (SC) Website

      Previous Computer Science Award Announcements Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Exascale Tools Workshop ...

    2. Impact analysis on a massively parallel computer

      SciTech Connect (OSTI)

      Zacharia, T.; Aramayo, G.A.

      1994-06-01

      Advanced mathematical techniques and computer simulation play a major role in evaluating and enhancing the design of beverage cans, industrial, and transportation containers for improved performance. Numerical models are used to evaluate the impact requirements of containers used by the Department of Energy (DOE) for transporting radioactive materials. Many of these models are highly compute-intensive. An analysis may require several hours of computational time on current supercomputers despite the simplicity of the models being studied. As computer simulations and materials databases grow in complexity, massively parallel computers have become important tools. Massively parallel computational research at the Oak Ridge National Laboratory (ORNL) and its application to the impact analysis of shipping containers is briefly described in this paper.

    3. Locating hardware faults in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J.; Megerian, Mark G.; Ratterman, Joseph D.; Smith, Brian E.

      2010-04-13

      Locating hardware faults in a parallel computer, including defining within a tree network of the parallel computer two or more sets of non-overlapping test levels of compute nodes of the network that together include all the data communications links of the network, each non-overlapping test level comprising two or more adjacent tiers of the tree; defining test cells within each non-overlapping test level, each test cell comprising a subtree of the tree including a subtree root compute node and all descendant compute nodes of the subtree root compute node within a non-overlapping test level; performing, separately on each set of non-overlapping test levels, an uplink test on all test cells in a set of non-overlapping test levels; and performing, separately from the uplink tests and separately on each set of non-overlapping test levels, a downlink test on all test cells in a set of non-overlapping test levels.

    4. Performing an allreduce operation on a plurality of compute nodes of a parallel computer

      DOE Patents [OSTI]

      Faraj, Ahmad

      2012-04-17

      Methods, apparatus, and products are disclosed for performing an allreduce operation on a plurality of compute nodes of a parallel computer. Each compute node includes at least two processing cores. Each processing core has contribution data for the allreduce operation. Performing an allreduce operation on a plurality of compute nodes of a parallel computer includes: establishing one or more logical rings among the compute nodes, each logical ring including at least one processing core from each compute node; performing, for each logical ring, a global allreduce operation using the contribution data for the processing cores included in that logical ring, yielding a global allreduce result for each processing core included in that logical ring; and performing, for each compute node, a local allreduce operation using the global allreduce results for each processing core on that compute node.

    5. National Energy Research Scientific Computing Center

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Scientific Computing Center 2004 annual report Cover image: Visualization based on a simulation of the density of a fuel pellet after it is injected into a tokamak fusion reactor. See page 40 for more information. National Energy Research Scientific Computing Center 2004 annual report Ernest Orlando Lawrence Berkeley National Laboratory * University of California * Berkeley, California 94720 This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing

    6. User Advisory Council | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      About Overview History Staff Directory Our Teams User Advisory Council Careers Margaret Butler Fellowship Visiting Us Contact Us User Advisory Council The User Advisory Council meets regularly to review major policies and to provide user feedback to the facility leadership. All council members are active Principal Investigators or users of ALCF computational resources through one or more of the allocation programs. Martin Berzins Professor Department of Computer Science Scientific Computing and

    7. Improved computer models support genetics research

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      February » Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods provide insight into why genes are activated. February 8, 2013 When complete, these barriers will be a portion of the NMSSUP upgrade. This molecular structure depicts a yeast transfer ribonucleic acid (tRNA), which carries a single amino acid to the ribosome during protein construction. A combined

    8. Introduction to High Performance Computing Using GPUs

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      HPC Using GPUs Introduction to High Performance Computing Using GPUs July 11, 2013 NERSC, NVIDIA, and The Portland Group presented a one-day workshop "Introduction to High Performance Computing Using GPUs" on July 11, 2013 in Room 250 of Sutardja Dai Hall on the University of California, Berkeley, campus. Registration was free and open to all NERSC users; Berkeley Lab Researchers; UC students, faculty, and staff; and users of the Oak Ridge Leadership Computing Facility. This workshop

    9. Accounts Policy | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Accounts Policy All holders of user accounts must abide by all appropriate Argonne Leadership Computing Facility and Argonne National Laboratory computing usage policies. These are described at the time of the account request and include requirements such as using a sufficiently strong password, appropriate use of the system, and so on. Any user not following these requirements will have their account disabled. Furthermore, ALCF resources are intended to be used as a computing resource for

    10. Digital computer operation of a nuclear reactor

      DOE Patents [OSTI]

      Colley, Robert W.

      1984-01-01

      A method is described for the safe operation of a complex system such as a nuclear reactor using a digital computer. The computer is supplied with a data base containing a list of the safe state of the reactor and a list of operating instructions for achieving a safe state when the actual state of the reactor does not correspond to a listed safe state, the computer selects operating instructions to return the reactor to a safe state.

    11. Digital computer operation of a nuclear reactor

      DOE Patents [OSTI]

      Colley, R.W.

      1982-06-29

      A method is described for the safe operation of a complex system such as a nuclear reactor using a digital computer. The computer is supplied with a data base containing a list of the safe state of the reactor and a list of operating instructions for achieving a safe state when the actual state of the reactor does not correspond to a listed safe state, the computer selects operating instructions to return the reactor to a safe state.

    12. Covered Product Category: Computers | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Computers Covered Product Category: Computers The Federal Energy Management Program (FEMP) provides acquisition guidance for computers, a product category covered by the ENERGY STAR program. Federal laws and requirements mandate that agencies buy ENERGY STAR-qualified products in all product categories covered by this program and any acquisition actions that are not specifically exempted by law. MEETING EFFICIENCY REQUIREMENTS FOR FEDERAL PURCHASES The U.S. Environmental Protection Agency (EPA)

    13. Multicore: Fallout from a Computing Evolution

      ScienceCinema (OSTI)

      Yelick, Kathy [Director, NERSC

      2009-09-01

      July 22, 2008 Berkeley Lab lecture: Parallel computing used to be reserved for big science and engineering projects, but in two years that's all changed. Even laptops and hand-helds use parallel processors. Unfortunately, the software hasn't kept pace. Kathy Yelick, Director of the National Energy Research Scientific Computing Center at Berkeley Lab, describes the resulting chaos and the computing community's efforts to develop exciting applications that take advantage of tens or hundreds of processors on a single chip.

    14. Validating Computer-Designed Proteins for Vaccines

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    15. Venkatram Vishwanath | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Venkatram Vishwanath Computer Scientist, Data Science Group Lead Venkatram Vishwanath Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 4141 Argonne, IL 60439 630-252-4971 venkat@anl.gov Venkatram Vishwanath is a computer scientist at Argonne National Laboratory. He is the Data Science group lead at the Argonne leadership computing facility (ALCF). His current focus is on algorithms, system software, and workflows to facilitate data-centric applications on supercomputing

    16. High Performance Computing Student Career Resources

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      HPC » Students High Performance Computing Student Career Resources Explore the multiple dimensions of a career at Los Alamos Lab: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Contact Us Student Liaison Josephine Kilde (505) 667-5086 Email High Performance Computing Capabilities The High Performance Computing (HPC) Division supports the Laboratory mission by managing world-class Supercomputing Centers. Our

    17. Improved computer models support genetics research

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods provide insight into why genes are activated. February 8, 2013 When complete, these barriers will be a portion of the NMSSUP upgrade. This molecular structure depicts a yeast transfer ribonucleic acid (tRNA), which carries a single amino acid to the ribosome during protein construction. A combined experimental and

    18. Jr. Computer Technician | Princeton Plasma Physics Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Technician Department: Information Technology Supervisor(s): Bill Davis Staff: TSS 03 Requisition Number: 1600256 Position Summary: The Princeton University Plasma Physics Laboratory, is a world-renowned fusion energy research center under contract with the U. S. Department of Energy. We are seeking a Junior Computer Technician to design, build and deploy computer systems meeting performance guidelines. To install diagnostic equipment and specialized data acquisitions equipment

    19. Fermilab | Science at Fermilab | Computing | Networking

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Detectors and Computing Detectors and Computing Computing Networking Physicists are constantly exchanging information, within Fermilab and between Fermilab and collaborating institutions. They do this from the design phase of an experiment to long after they have finished collecting data. To move huge amounts of data from one place to another, Fermilab needs high-performance networking. For years, Fermilab has been the largest user of Energy Services Network, or ESnet, a network the Department

    20. Validating Computer-Designed Proteins for Vaccines

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    1. Validating Computer-Designed Proteins for Vaccines

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    2. Validating Computer-Designed Proteins for Vaccines

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

    3. Shaping Future Supercomputing Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      0 1 1 a n n u a l r e p o r t Shaping Future Supercomputing Argonne Leadership Computing Facility ANL-12/22 Argonne Leadership Computing Facility 2 0 1 1 a l c f a n n u a l r e p o r t w w w . a l c f . a n l . g o v Contents Overview .......................................2 Mira ..............................................4 Science Highlights ...........................8 Computing Resources ..................... 26 2011 ALCF Publications .................. 28 2012 INCITE Projects

    4. Computer Networking Group | Stanford Synchrotron Radiation Lightsource

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computer Networking Group Do you need help? For assistance please submit a CNG Help Request ticket. CNG Logo Chris Ramirez SSRL Computer and Networking Group (650) 926-2901 | email Jerry Camuso SSRL Computer and Networking Group (650) 926-2994 | email Networking Support The Networking group provides connectivity and communications services for SSRL. The services provided by the Networking Support Group include: Local Area Network support for cable and wireless connectivity. Installation and

    5. Smart Grid Computational Tool | Open Energy Information

      Open Energy Info (EERE)

      project benefits. The Smart Grid Computational Tool employs the benefit analysis methodology that DOE uses to evaluate the Recovery Act smart grid projects. How it works: The...

    6. BETO Webinar: Computational Studies of Lignocellulose Deconstruction...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      of Sugars to Hydrocarbons High Level Computational Chemistry Approaches to the Prediction of Energetic Properties of Chemical Hydrogen Storage Systems Process Design and ...

    7. Hybrid Rotaxanes: Interlocked Structures for Quantum Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Hybrid Rotaxanes: Interlocked Structures for Quantum Computing? Print Rotaxanes are mechanically interlocked molecular architectures consisting of a dumbbell-shaped molecule, the...

    8. Large-Scale Computational Fluid Dynamics

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Software Computations Uncertainty Quantification Stochastic About CRF Transportation Energy Consortiums Engine Combustion Heavy Duty Heavy Duty Low-Temperature & Diesel Combustion ...

    9. In the News | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Argonne National Laboratory researchers are applying the power of high-performance computing, combined with sophisticated experiments, to refine plans sodium-cooled fast reactors. ...

    10. Nichols A. Romero | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Nichols A. Romero Principal Project Specialist - Computational Science Catalyst Team Lead Nichols Romero Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. ...

    11. Mira Computational Readiness Assessment | Argonne Leadership...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      INCITE Program 5 Checks & 5 Tips for INCITE Mira Computational Readiness Assessment ALCC Program Director's Discretionary (DD) Program Early Science Program INCITE 2016 Projects ...

    12. Graham Fletcher | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Graham Fletcher Principal Project Specialist in Computational Science Graham Fletcher Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1123 Argonne, IL 60439 ...

    13. Margaret Butler Fellowship in Computational Science | Argonne...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      The 2016 Margaret Butler Fellowship call for applications has closed. Open to outstanding postdoctoral candidates, this computational science fellowship offers an opportunity to ...

    14. Compiling and Linking | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      documentation for our new computing resource. Feedback Form Compiling and Linking Compilers and MPI GNU compilers are installed and are available in your default environment....

    15. Extreme Scale Computing, Co-design

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... software, and hardware in an integrated computational co-design process. * Designed Cruft, a suite of molecular dynamics proxy applications (software) developed to explore ...

    16. Thermodynamic properties of indan: Experimental and computational...

      Office of Scientific and Technical Information (OSTI)

      Thermodynamic properties of indan: Experimental and computational results This content will become publicly available on March 13, 2018 Prev Next Title: Thermodynamic ...

    17. SciTech Connect: "high performance computing"

      Office of Scientific and Technical Information (OSTI)

      Advanced Search Term Search Semantic Search Advanced Search All Fields: "high performance computing" Semantic Semantic Term Title: Full Text: Bibliographic Data: Creator ...

    18. Computational Challenges for Nanostructure Solar Cells

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Challenges for Nanostructure Solar Cells Computational Challenges for Nanostructure Solar Cells ZZ2.jpg Key Challenges: Current nanostructure solar cells often have energy...

    19. Adrian C. Pope | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Adrian C. Pope Assistant Computational Scientist Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 11213 Argonne, IL 60439 630-252-8745 apope

    20. Anouar Benali | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Anouar Benali Assistant Computational Scientist Anouar Benali Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 2127 Argonne, IL 60439 630-252-0058 benali@anl

    1. Collaboration to advance high-performance computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      cyber security, data sharing and mobility, cloud computing, large-scale analytics, and materials science. This first Project Task Statement (PTS) under the Umbrella CRADA is...

    2. Computing, Environment & Life Sciences Directorate Organization...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Intranet About Us Intranet Argonne National Laboratory Computing, Environment and Life Sciences Organizations Facilities and Institutes News Events About Us Organization...

    3. Modeling of Geothermal Reservoirs: Fundamental Processes, Computer...

      Open Energy Info (EERE)

      of Geothermal Reservoirs: Fundamental Processes, Computer Simulation and Field Applications Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article:...

    4. NERSC seeks Computational Systems Group Lead

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      and advanced development for the supercomputer systems at NERSC (National Energy Research Scientific Computing ... workload demands within hiring and budget constraints. ...

    5. Innovative Computational Tools for Reducing Exploration Risk...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Risk Through Integration of Water-Rock Interactions and Magnetotelluric Surveys Innovative Computational Tools for Reducing Exploration Risk Through Integration of Water-Rock ...

    6. New User Guide | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. Feedback Form New User Guide USER TIP:...

    7. Applying computationally efficient schemes for biogeochemical...

      Office of Scientific and Technical Information (OSTI)

      Sponsoring Org: USDOE Office of Science (SC) Country of Publication: United States Language: English Subject: 54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING Word Cloud ...

    8. Computable General Equilibrium Models for Sustainability Impact...

      Open Energy Info (EERE)

      Publications, Softwaremodeling tools User Interface: Other Website: iatools.jrc.ec.europa.eudocsecolecon2006.pdf Computable General Equilibrium Models for Sustainability...

    9. Integrated Computational Materials Engineering (ICME) for Mg...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon lm012li2011o.pdf More Documents & Publications Integrated Computational Materials Engineering ...

    10. PREPARING FOR EXASCALE: ORNL Leadership Computing Application...

      Office of Scientific and Technical Information (OSTI)

      ... Requirements elicitation, analysis, validation, and management comprise a difficult and ... Research Org: Oak Ridge National Laboratory (ORNL); Oak Ridge Leadership Computing ...

    11. Library and Compiler Tracking | Argonne Leadership Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. Feedback Form Library and Compiler Tracking...

    12. Cobalt Scheduler | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Narayan Desai, "Bandwidth-Aware Resource Management for Extreme Scale Systems", IEEEACM International Conference for High Performance Computing, Networking, Storage, and...

    13. Sandia Computational Mathematician Receives DOE's EO Lawrence...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Pavel Bochev (in Sandia's Computational Mathematics Dept.) has received an EO Lawrence Award for his pioneering theoretical and practical advances in numerical methods for partial ...

    14. Hal Finkel | Argonne Leadership Computing Facility

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Hal Finkel Assistant Computational Scientist Hal Finkel Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 2126 Argonne, IL 60439 630-252-0023 hfinkel...

    15. Computer virus information update CIAC-2301

      SciTech Connect (OSTI)

      Orvis, W.J.

      1994-01-15

      While CIAC periodically issues bulletins about specific computer viruses, these bulletins do not cover all the computer viruses that affect desktop computers. The purpose of this document is to identify most of the known viruses for the MS-DOS and Macintosh platforms and give an overview of the effects of each virus. The authors also include information on some windows, Atari, and Amiga viruses. This document is revised periodically as new virus information becomes available. This document replaces all earlier versions of the CIAC Computer virus Information Update. The date on the front cover indicates date on which the information in this document was extracted from CIAC`s Virus database.

    16. High Performance Computing Data Center Metering Protocol

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      ... operations and control of key systems. In high performance computing facilities, intelligent integration of ... facility for all network traffic D72-5600 ERP5 + 7% xfmr ...

    17. Ni Clusterbank Replacement Project | Argonne Leadership Computing...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Ni Clusterbank Replacement Project Event Sponsor: Argonne Leadership Computing Facility Seminar Start Date: Oct 20 2015 - 12:00pm BuildingRoom: Building 241Room D173...

    18. Climate Modeling using High-Performance Computing

      SciTech Connect (OSTI)

      Mirin, A A

      2007-02-05

      The Center for Applied Scientific Computing (CASC) and the LLNL Climate and Carbon Science Group of Energy and Environment (E and E) are working together to improve predictions of future climate by applying the best available computational methods and computer resources to this problem. Over the last decade, researchers at the Lawrence Livermore National Laboratory (LLNL) have developed a number of climate models that provide state-of-the-art simulations on a wide variety of massively parallel computers. We are now developing and applying a second generation of high-performance climate models. Through the addition of relevant physical processes, we are developing an earth systems modeling capability as well.

    19. high performance computing | National Nuclear Security Administration

      National Nuclear Security Administration (NNSA)

      Livermore National Laboratory (LLNL), announced her retirement last week after 15 years of leading Livermore's Computation Directorate. "Dona has successfully led a ...

    20. Computational Design of Interfaces for Photovoltaics | Argonne...

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computational Design of Interfaces for Photovoltaics PI Name: Noa Marom PI Email: nmarom@tulane.edu Institution: Tulane University Allocation Program: ALCC Allocation Hours at...

    1. 2015 Annual Report - Argonne Leadership Computing Facility

      SciTech Connect (OSTI)

      Collins, James R.; Papka, Michael E.; Cerny, Beth A.; Coffey, Richard M.

      2015-01-01

      The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines.

    2. Computational Scientist | Princeton Plasma Physics Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Department, with interest in leadership class computing of gyrokinetic fusion edge plasma research. A candidate who has knowledge in hybrid parallel programming with MPI, OpenMP,...

    3. The Brain: Key To a Better Computer

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... Early conventional computing grew from the need for neutron diffusion simulations and weather prediction. Today, big data problems and remote autonomous and semiautonomous systems ...

    4. Fermilab | Science | Particle Physics | Scientific Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      State-of-the-art computing facilities and expertise drive successful research in experimental and theoretical particle physics. Fermilab is a pioneer in managing "big data" and ...

    5. The Magellan Final Report on Cloud Computing

      SciTech Connect (OSTI)

      ,; Coghlan, Susan; Yelick, Katherine

      2011-12-21

      The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.

    6. Computers in Commercial Buildings - Table 3

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    7. Computers in Commercial Buildings - Table 2

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    8. Computers in Commercial Buildings - Table 4

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    9. Computers in Commercial Buildings - Table 1

      U.S. Energy Information Administration (EIA) Indexed Site

      Back to Computers in Commercial Buildings Specific questions may be directed to: Jay Olsen jay.olsen@eia.doe.gov http:www.eia.govconsumptioncommercialdataarchive...

    10. Integrated Computational Materials Engineering (ICME) for Mg...

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Project (Part 1) Integrated Computational Materials Engineering (ICME) for Mg: International Pilot Project (Part 1) 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit...

    11. Salishan: Conference on High Speed Computing

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      ... of Notre Dame, and William Harrod, DARPA Exascale Ambitions What, me worry? : S > ... Systems (HPCS) (pdf), Robert Graybill, DARPA High-End Computing Revitalization (pdf), ...

    12. The Radiological Safety Analysis Computer Program (RSAC-5) user`s manual. Revision 1

      SciTech Connect (OSTI)

      Wenzel, D.R.

      1994-02-01

      The Radiological Safety Analysis Computer Program (RSAC-5) calculates the consequences of the release of radionuclides to the atmosphere. Using a personal computer, a user can generate a fission product inventory from either reactor operating history or nuclear criticalities. RSAC-5 models the effects of high-efficiency particulate air filters or other cleanup systems and calculates decay and ingrowth during transport through processes, facilities, and the environment. Doses are calculated through the inhalation, immersion, ground surface, and ingestion pathways. RSAC+, a menu-driven companion program to RSAC-5, assists users in creating and running RSAC-5 input files. This user`s manual contains the mathematical models and operating instructions for RSAC-5 and RSAC+. Instructions, screens, and examples are provided to guide the user through the functions provided by RSAC-5 and RSAC+. These programs are designed for users who are familiar with radiological dose assessment methods.

    13. Radiation Detection Computational Benchmark Scenarios

      SciTech Connect (OSTI)

      Shaver, Mark W.; Casella, Andrew M.; Wittman, Richard S.; McDonald, Ben S.

      2013-09-24

      Modeling forms an important component of radiation detection development, allowing for testing of new detector designs, evaluation of existing equipment against a wide variety of potential threat sources, and assessing operation performance of radiation detection systems. This can, however, result in large and complex scenarios which are time consuming to model. A variety of approaches to radiation transport modeling exist with complementary strengths and weaknesses for different problems. This variety of approaches, and the development of promising new tools (such as ORNL’s ADVANTG) which combine benefits of multiple approaches, illustrates the need for a means of evaluating or comparing different techniques for radiation detection problems. This report presents a set of 9 benchmark problems for comparing different types of radiation transport calculations, identifying appropriate tools for classes of problems, and testing and guiding the development of new methods. The benchmarks were drawn primarily from existing or previous calculations with a preference for scenarios which include experimental data, or otherwise have results with a high level of confidence, are non-sensitive, and represent problem sets of interest to NA-22. From a technical perspective, the benchmarks were chosen to span a range of difficulty and to include gamma transport, neutron transport, or both and represent different important physical processes and a range of sensitivity to angular or energy fidelity. Following benchmark identification, existing information about geometry, measurements, and previous calculations were assembled. Monte Carlo results (MCNP decks) were reviewed or created and re-run in order to attain accurate computational times and to verify agreement with experimental data, when present. Benchmark information was then conveyed to ORNL in order to guide testing and development of hybrid calculations. The results of those ADVANTG calculations were then sent to PNNL for compilation. This is a report describing the details of the selected Benchmarks and results from various transport codes.

    14. Cielo Computational Environment Usage Model With Mappings to...

      Office of Scientific and Technical Information (OSTI)

      Sponsoring Org: DOELANL Country of Publication: United States Language: English Subject: Computer Hardware; Mathematics & Computing(97); AVAILABILITY; LANL; LAWRENCE LIVERMORE ...

    15. Invited book review for AIAA Journal of verification of computer...

      Office of Scientific and Technical Information (OSTI)

      Country of Publication: United States Language: English Subject: 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTER CODES; VERIFICATION; SANDIA ...

    16. Guide to Preventing Computer Software Piracy

      Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

      2001-07-12

      Guide to Preventing Computer Software Piracy It is the intent of the Department of Energy (DOE) to issue guidance in accordance with Federal CIO Council recommendations and in compliance with Executive Order 13103. The guidance in this document is based on the CIO Council's recommendations in reference to computer software piracy, and applies to all DOE elements. Canceled by DOE N 205.18

    17. Multiprocessor computer overset grid method and apparatus

      DOE Patents [OSTI]

      Barnette, Daniel W.; Ober, Curtis C.

      2003-01-01

      A multiprocessor computer overset grid method and apparatus comprises associating points in each overset grid with processors and using mapped interpolation transformations to communicate intermediate values between processors assigned base and target points of the interpolation transformations. The method allows a multiprocessor computer to operate with effective load balance on overset grid applications.

    18. Argonne's Magellan Cloud Computing Research Project

      ScienceCinema (OSTI)

      Beckman, Pete

      2013-04-19

      Pete Beckman, head of Argonne's Leadership Computing Facility (ALCF), discusses the Department of Energy's new $32-million Magellan project, which designed to test how cloud computing can be used for scientific research. More information: http://www.anl.gov/Media_Center/News/2009/news091014a.html

    19. Introduction to the session: Computing with biomolecules

      SciTech Connect (OSTI)

      Head, T.; Yokomori, Takashi

      1996-12-31

      This session presents three distinct presentations: the first presentation deals with the design of a photosensitive receptor from the protein bacteriorhodopsin; the second presentation deals with biocomputing applications using DNA molecules and enzymes to implement algorithmic computations. The third presentation discusses the computational generative capabilities of DNA subsegments.

    20. Debugging a high performance computing program

      DOE Patents [OSTI]

      Gooding, Thomas M.

      2014-08-19

      Methods, apparatus, and computer program products are disclosed for debugging a high performance computing program by gathering lists of addresses of calling instructions for a plurality of threads of execution of the program, assigning the threads to groups in dependence upon the addresses, and displaying the groups to identify defective threads.

    1. Debugging a high performance computing program

      DOE Patents [OSTI]

      Gooding, Thomas M.

      2013-08-20

      Methods, apparatus, and computer program products are disclosed for debugging a high performance computing program by gathering lists of addresses of calling instructions for a plurality of threads of execution of the program, assigning the threads to groups in dependence upon the addresses, and displaying the groups to identify defective threads.

    2. Pacing a data transfer operation between compute nodes on a parallel computer

      DOE Patents [OSTI]

      Blocksome, Michael A.

      2011-09-13

      Methods, systems, and products are disclosed for pacing a data transfer between compute nodes on a parallel computer that include: transferring, by an origin compute node, a chunk of an application message to a target compute node; sending, by the origin compute node, a pacing request to a target direct memory access (`DMA`) engine on the target compute node using a remote get DMA operation; determining, by the origin compute node, whether a pacing response to the pacing request has been received from the target DMA engine; and transferring, by the origin compute node, a next chunk of the application message if the pacing response to the pacing request has been received from the target DMA engine.

    3. Intranode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Miller, Douglas R; Ratterman, Joseph D; Smith, Brian E

      2013-07-23

      Intranode data communications in a parallel computer that includes compute nodes configured to execute processes, where the data communications include: allocating, upon initialization of a first process of a compute node, a region of shared memory; establishing, by the first process, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; sending, to a second process on the same compute node, a data communications message without determining whether the second process has been initialized, including storing the data communications message in the message buffer of the second process; and upon initialization of the second process: retrieving, by the second process, a pointer to the second process's message buffer; and retrieving, by the second process from the second process's message buffer in dependence upon the pointer, the data communications message sent by the first process.

    4. Intranode data communications in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J; Blocksome, Michael A; Miller, Douglas R; Ratterman, Joseph D; Smith, Brian E

      2014-01-07

      Intranode data communications in a parallel computer that includes compute nodes configured to execute processes, where the data communications include: allocating, upon initialization of a first process of a computer node, a region of shared memory; establishing, by the first process, a predefined number of message buffers, each message buffer associated with a process to be initialized on the compute node; sending, to a second process on the same compute node, a data communications message without determining whether the second process has been initialized, including storing the data communications message in the message buffer of the second process; and upon initialization of the second process: retrieving, by the second process, a pointer to the second process's message buffer; and retrieving, by the second process from the second process's message buffer in dependence upon the pointer, the data communications message sent by the first process.

    5. Predictive Dynamic Security Assessment through Advanced Computing

      SciTech Connect (OSTI)

      Huang, Zhenyu; Diao, Ruisheng; Jin, Shuangshuang; Chen, Yousu

      2014-11-30

      Abstract— Traditional dynamic security assessment is limited by several factors and thus falls short in providing real-time information to be predictive for power system operation. These factors include the steady-state assumption of current operating points, static transfer limits, and low computational speed. This addresses these factors and frames predictive dynamic security assessment. The primary objective of predictive dynamic security assessment is to enhance the functionality and computational process of dynamic security assessment through the use of high-speed phasor measurements and the application of advanced computing technologies for faster-than-real-time simulation. This paper presents algorithms, computing platforms, and simulation frameworks that constitute the predictive dynamic security assessment capability. Examples of phasor application and fast computation for dynamic security assessment are included to demonstrate the feasibility and speed enhancement for real-time applications.

    6. Who goes there. A dialogue of questions and answers about benign hacking. [Securing access to computer from outside sources

      SciTech Connect (OSTI)

      Stevens, D.F.

      1987-04-01

      On August 23, 1986, it was noticed that the accounting files for one of LBL's computing systems failed to balance. On August 24, we received word that an unauthorized person was attempting entry into a US Navy computer from LBL. Preliminary investigation indicated that LBL was the victim of a benign hacker, where ''benign'' is used in the medical sense. It was thought that the perpetrator was a graduate student from a neighboring university, and that it would provide a useful object lesson to other such folk if he were caught and admonished. LBL therefore embarked upon a journey of detection and containment instead of prevention. That journey continues today, having led first across the country, then across the Atlantic. In the course of the journey we have gathered a number of observations that should be of interest to anyone running a computer with any connection to the outside world.

    7. Alerting device and method for reminding a person of a risk

      DOE Patents [OSTI]

      Runyon, Larry [Richland, WA; Gunter, Wayne M. [West Richland, WA; Pratt, Richard M. [Richland, WA

      2001-11-27

      An alerting device and method to remind personnel of a risk is disclosed. The device has at least two sensors, a logic controller, a power source, and an annunciator that delivers a visual message, with or without an audible alarm, about a risk to a person when the sensors detect the person exiting a predetermined space. In particular, the present invention reminds a person of a security, safety, or health risk upon exiting a predetermined space. More particularly, the present invention reminds a person of an information security risk relating to sensitive, proprietary, confidential, trade secret, classified, or intellectual property information.

    8. Low latency, high bandwidth data communications between compute nodes in a parallel computer

      DOE Patents [OSTI]

      Archer, Charles J.; Blocksome, Michael A.; Ratterman, Joseph D.; Smith, Brian E.

      2010-11-02

      Methods, parallel computers, and computer program products are disclosed for low latency, high bandwidth data communications between compute nodes in a parallel computer. Embodiments include receiving, by an origin direct memory access (`DMA`) engine of an origin compute node, data for transfer to a target compute node; sending, by the origin DMA engine of the origin compute node to a target DMA engine on the target compute node, a request to send (`RTS`) message; transferring, by the origin DMA engine, a predetermined portion of the data to the target compute node using memory FIFO operation; determining, by the origin DMA engine whether an acknowledgement of the RTS message has been received from the target DMA engine; if the an acknowledgement of the RTS message has not been received, transferring, by the origin DMA engine, another predetermined portion of the data to the target compute node using a memory FIFO operation; and if the acknowledgement of the RTS message has been received by the origin DMA engine, transferring, by the origin DMA engine, any remaining portion of the data to the target compute node using a direct put operation.

    9. Method for transferring data from an unsecured computer to a secured computer

      DOE Patents [OSTI]

      Nilsen, Curt A.

      1997-01-01

      A method is described for transferring data from an unsecured computer to a secured computer. The method includes transmitting the data and then receiving the data. Next, the data is retransmitted and rereceived. Then, it is determined if errors were introduced when the data was transmitted by the unsecured computer or received by the secured computer. Similarly, it is determined if errors were introduced when the data was retransmitted by the unsecured computer or rereceived by the secured computer. A warning signal is emitted from a warning device coupled to the secured computer if (i) an error was introduced when the data was transmitted or received, and (ii) an error was introduced when the data was retransmitted or rereceived.

    10. Method and system for benchmarking computers

      DOE Patents [OSTI]

      Gustafson, John L.

      1993-09-14

      A testing system and method for benchmarking computer systems. The system includes a store containing a scalable set of tasks to be performed to produce a solution in ever-increasing degrees of resolution as a larger number of the tasks are performed. A timing and control module allots to each computer a fixed benchmarking interval in which to perform the stored tasks. Means are provided for determining, after completion of the benchmarking interval, the degree of progress through the scalable set of tasks and for producing a benchmarking rating relating to the degree of progress for each computer.

    11. Fermilab computing at the Intensity Frontier

      DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

      Group, Craig; Fuess, S.; Gutsche, O.; Kirby, M.; Kutschke, R.; Lyon, A.; Norman, A.; Perdue, G.; Sexton-Kennedy, E.

      2015-12-23

      The Intensity Frontier refers to a diverse set of particle physics experiments using high- intensity beams. In this paper I will focus the discussion on the computing requirements and solutions of a set of neutrino and muon experiments in progress or planned to take place at the Fermi National Accelerator Laboratory located near Chicago, Illinois. In addition, the experiments face unique challenges, but also have overlapping computational needs. In principle, by exploiting the commonality and utilizing centralized computing tools and resources, requirements can be satisfied efficiently and scientists of individual experiments can focus more on the science and less onmore » the development of tools and infrastructure.« less

    12. About the Advanced Computing Tech Team | Department of Energy

      Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

      Advanced Computing Tech Team About the Advanced Computing Tech Team The Advanced Computing Tech Team is made up of representatives from DOE and its national laboratories who are involved with developing and using advanced computing tools. The following is a list of some of those programs and what how they are currently using advanced computing in pursuit of their respective missions. Advanced Science Computing Research (ASCR) The mission of the Advanced Scientific Computing Research (ASCR)

    13. Supercomputing on a Shoestring: Cluster Computers at JLab | Jefferson Lab

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Supercomputing on a Shoestring: Cluster Computers at JLab Supercomputing on a Shoestring: Cluster Computers at JLab November 7, 2005 Listen to this story Cluster computers are tackling computations that were once reserved for the most powerful supercomputers. The people behind these technological wonders are the members of Jefferson Lab's High Performance Computing Group, led by Chip Watson. So what is high performance computing? "It's using large computing resources to calculate something.

    14. Large Scale Computing and Storage Requirements for Advanced Scientific

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      Computing Research: Target 2014 Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research: Target 2014 ASCRFrontcover.png Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research An ASCR / NERSC Review January 5-6, 2011 Final Report Large Scale Computing and Storage Requirements for Advanced Scientific Computing Research, Report of the Joint ASCR / NERSC Workshop conducted January 5-6, 2011 Goals This workshop is being

    15. High Performance Computing Data Center (Fact Sheet)

      SciTech Connect (OSTI)

      Not Available

      2014-08-01

      This two-page fact sheet describes the new High Performance Computing Data Center in the ESIF and talks about some of the capabilities and unique features of the center.

    16. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2002-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    17. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2001-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    18. THE CENTER FOR DATA INTENSIVE COMPUTING

      SciTech Connect (OSTI)

      GLIMM,J.

      2003-11-01

      CDIC will provide state-of-the-art computational and computer science for the Laboratory and for the broader DOE and scientific community. We achieve this goal by performing advanced scientific computing research in the Laboratory's mission areas of High Energy and Nuclear Physics, Biological and Environmental Research, and Basic Energy Sciences. We also assist other groups at the Laboratory to reach new levels of achievement in computing. We are ''data intensive'' because the production and manipulation of large quantities of data are hallmarks of scientific research in the 21st century and are intrinsic features of major programs at Brookhaven. An integral part of our activity to accomplish this mission will be a close collaboration with the University at Stony Brook.

    19. PCs and Computer Terminals in Commercial Buildings

      U.S. Energy Information Administration (EIA) Indexed Site

      thousand users would be much lower. The more PCs and computer terminals used in a given building, the greater the impact on the building's energy consumption. By this measure,...

    20. Douglas Jacobsen! NERSC Bioinformatics Computing Consultant

      Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

      System --- 2 --- compute n odes gpint n odes high p riority & interac6ve nodes fpga web services database services login n odes filesystems ssh genepool.nersc.gov hp:...