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Sample records for visitor reception computer

  1. 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

  2. Visitors

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

    Visitors Upon arrival, all non-LLNL visitors touring the Facility must first report to Beth Mariotti (ext. 4-3396). All visitors, including employees of LLNL, are required to be escorted by a member of Facility Operations or an individual approved by Operations. Visitors tours can only be conducted when no safety hazards (i.e., laser, high voltage, radiation) are present

  3. Visitors

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

    Visitors For Visitors A repository for images for those visiting Los Alamos and Northern New Mexico. News Releases Science Briefs Photos Picture of the Week Publications Social Media Videos Fact Sheets PHOTOS BY TOPIC Careers Community Visitors Environment History Science The Lab Click thumbnails to enlarge. Photos arranged by most recent first, horizontal formats before vertical. See Flickr for more sizes and details. Northern New Mexico Northern New Mexico Summer lightning storms in Northern

  4. Visitors

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

    Visitors /science-innovation/_assets/images/icon-science.jpg Visitors Coming to Los Alamos? Need badging information? Need local resources or housing? This is the place. Badging, Badge Office» Bradbury Science Museum» Education Office Housing» Living in Los Alamos» TOP STORIES - highlights of our science, people, technologies close Connections Laboratory helps Ohkay Owingeh find math, science tutors; giving students a chance to work, learn and earn; Los Alamos, Van Andel Research Institute

  5. Visitor Information

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

    Visitor Info Visitor Information NERSC is located in Shyh Wang Hall-also known as the computational research and theory (CRT) building (Bldg. 59)-on the campus of Lawrence Berkeley National Laboratory in Berkeley, California. You can find information about visiting the lab, including an interactive campus map, transportation and lodging suggestions at http://www.lbl.gov/visit/. Your host must arrange site access prior to your visit. Last edited: 2016-01-06 16:48:46

  6. SA 2712-CVC;CONTRACTOR/VISITOR COMPUTERS TEMPORARY ONE TIME EXCEPTION TO SNL POLICY

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

    2712-CVC (9-2009) Supersedes (6-2009) issue Page 1 of 2 Non-US Government Computing Equipment and Media Temporary One-Time Exception to SNL Policy Rules of Use for Visiting computing equipment or media * All visitor computing equipment or media brought on to Sandia-controlled premises are subject to monitoring, inspection, and seizure by any of Sandia's security organizations. * If the host is not a Level 1 Manager or above, the host's Level 1 Manager or above must approve the visiting equipment

  7. Visitor Information

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

    Visitor Information Visiting the Transportation Research and Analysis Computing Center For guests who wish to visit and meet with the technical staff, please contact the TRACC service desk or the Technical Point of Contact assigned to you for registration, scheduling, and confirmation, including Foreign Visits and Assignments. Registration with your host is required for entry into the TRACC facilities. A photo I.D., such as a driver's license or passport, is also required for facility access. If

  8. Visitor Information | The Ames Laboratory

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

    Visitor Information Contents Internet Access for Visitors Wireless Network Access for Visitors Captive Portal Service for Visitors Rules of Behavior Internet Access for Visitors...

  9. ALS Visitors

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

    Quick Facts ALS Visitors Print ALS staff members host a variety of scientific, educational, government, and community-related tours each month. April 2014 Congresswoman Jackie Speier, who represents southern San Francisco and northern Peninsula communities, recently spent an afternoon at Berkeley Lab. In addition to an overview of the Lab provided by Lab Director Paul Alivisatos, Speier toured the FLEXLAB and the Advanced Light Source. At the ALS she spoke with Beamline Scientist Ken Goldberg

  10. Visitor Information

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

    Information Visitor Information The Museum is open to the public every day except Thanksgiving, Christmas, and New Year's. Contact Us thumbnail of Bradbury Science Museum 505 667-4444 Email Museum Hours Open every day except Thanksgiving, Christmas, and New Year's. Tuesday-Saturday: 10 am-5 pm Sunday & Monday: 1-5 pm FREE ADMISSION Download our brochure for more information (pdf) Weather conditions Call ahead during snow storms: (505) 667-6622 or (877) 723-4101. We follow Los Alamos National

  11. ARM - Historical Visitor Statistics

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

    Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report...

  12. Visitor Information

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

    known as the computational research and theory (CRT) building (Bldg. 59)-on the campus of Lawrence Berkeley National Laboratory in Berkeley, California. You can find...

  13. campus-visitor-map

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

    MC-212 Pollard Aud. MC- 210 MC- 120 MC-130 MC-100 Main Campus Map Building RoomOffice Contact Name + Number Visitor Map You are here. Emergency Assembly Point Entrance Buildings...

  14. BPA Visitor Center

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

    and is located at BPA headquarters in Portland, Oregon at 905 NE 11th Ave. (Public Transit @ the Lloyd Center MAX Station). Many of the publications available in the Visitor...

  15. Visitors | The Ames Laboratory

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

    Visitors Visitors are welcome at Ames Laboratory. As a U.S. Department of Energy research facility, Ames Laboratory is subject to security conditions established by the Department of Homeland Security. To make sure that you are complying with the current security conditions, please check with the Plant Protection Desk on the ground floor level of the Technical and Administrative Services Facility (TASF) building. Protection personnel can help you locate a specific staff member or direct you to a

  16. ASCR Committees of Visitors | U.S. DOE Office of Science (SC)

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

    ASCR Committees of Visitors Advanced Scientific Computing Advisory Committee (ASCAC) ASCAC Home Meetings Members Charges/Reports ASCAC Charter 2015 - signed .pdf file (134KB) ASCR Committees of Visitors Federal Advisory Committees ASCR Home ASCR Committees of Visitors Print Text Size: A A A FeedbackShare Page Advanced Scientific Computing Advisory Committee (ASCAC) » The links below provide an archive of Advanced Scientific Computing Research (ASCR) Committees of Visitors (COV) reports and

  17. Craig Thomas Discovery & Visitor Center

    High Performance Buildings Database

    Moose, WY Grand Teton National Park's rugged landscape and stunning array of wildlife attract nearly three million visitors every year, making it one of our most popular national parks. A new Grand Teton National Park visitor center near the park's headquarters north of Jackson, Wyoming, replaces an outdated building, educates an increased number of visitors, and inspires further exploration of this extraordinary landscape. The project site is located along the Snake River, between a riparian forest and a sagebrush meadow.

  18. Computing and Computational Sciences Directorate - Visitor Information

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

    Ridge National Laboratory from both directions, is now closed to the public. If you are planning a visit to ORNL, your host will arrange for you to proceed past entrance stations...

  19. NREL Visitors Center Closing Temporarily for Remodeling

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

    Visitors Center Closing Temporarily for Remodeling Media may contact: George Douglas, 303-275-4096 email: George Douglas Golden, Colo., Sept. 6, 2000 - The Visitors Center at the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) will be closed Friday, Sept. 8 through Friday, Sept. 22 for the installation of new floor tile and carpet. Visitors Center staff expects to re-open the building for normal operation on Monday, Sept. 25. Contact the Visitors Center volunteer

  20. ASCR Committees of Visitors | U.S. DOE Office of Science (SC)

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

    ASCR Committees of Visitors Advanced Scientific Computing Research (ASCR) ASCR Home About Organization Chart .pdf file (220KB) Staff ASCR Budget ASCR Committees of Visitors Directions Jobs Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW Washington, DC

  1. Visitors

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

    of our science, people, technologies close Grape Growers Association enlivens agriculture Entrepreneurial Networking Program unites New Mexico grape growers for successful...

  2. DOE - NNSA/NFO -- Visitor Information

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

    Visitor Information NNSA/NFO Language Options U.S. DOE/NNSA - Nevada Field Office Visitor Information The Nevada Field Office welcomes visitors to its facilities, but if you plan to visit, there are several things you will need to keep in mind. You must present valid photo identification as well as the name of the person(s) you will be visiting upon entering the facility. All persons and vehicles entering the North Las Vegas Complex are subject to search. Official Visitors are those who have

  3. Exchange Visitors Program | Department of Energy

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

    in the U.S. The Office of Travel Management provides assistance to DOE Program ... International Visitor Leadership Program - brings participants to the United States from ...

  4. Alternative Fuels Data Center: Propane Buses Shuttle Visitors in Maine

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

    Propane Buses Shuttle Visitors in Maine to someone by E-mail Share Alternative Fuels Data Center: Propane Buses Shuttle Visitors in Maine on Facebook Tweet about Alternative Fuels Data Center: Propane Buses Shuttle Visitors in Maine on Twitter Bookmark Alternative Fuels Data Center: Propane Buses Shuttle Visitors in Maine on Google Bookmark Alternative Fuels Data Center: Propane Buses Shuttle Visitors in Maine on Delicious Rank Alternative Fuels Data Center: Propane Buses Shuttle Visitors in

  5. Directions and Visitor Information | Argonne National Laboratory

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

    about 25 miles southwest of Chicago. The laboratory hosts thousands of visitors each year. Tour the Lab Argonne welcomes all members of the public age 16 or older to take guided...

  6. Visitor Control / Site Access - Hanford Site

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

    About Us Hanford Site Wide Programs Visitor Control / Site Access About Us About Hanford Cleanup Hanford History Hanford Site Wide Programs Contact Us Visitor Control / Site Access Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size Planning to come to the Hanford Site? Map of Hanford Map of Hanford If you are planning on coming to Hanford as part of a job assignment, tour, or event, you need to be familiar with the requirements and restrictions associated with being

  7. Visitor Security Requirements | Savannah River Ecology Laboratory

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

    Visitor Security Requirements NOTE: These requirements do not apply to events held at the SREL Conference Center, which is located outside the security barricade. Before you arrive: I. Obtaining a visitor's badge II. Prohibited articles III. Electronics policy IV. Vehicle inspections When you arrive: Proceed to the badge office (map). Present two forms of identification from the list of acceptable documents, including one photo ID, to receive your badge. You will not receive a badge without

  8. PIA - HSS Electronic Visitor Management System (HSEVMS) | Department of

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

    Energy HSS Electronic Visitor Management System (HSEVMS) PIA - HSS Electronic Visitor Management System (HSEVMS) PIA - HSS Electronic Visitor Management System (HSEVMS) PDF icon PIA - HSS Electronic Visitor Management System (HSEVMS) More Documents & Publications PIA - INL SECURITY INFORMATION MANAGEMENT SYSTEM BUSINESS ENCLAVE PIA - INL PeopleSoft - Human Resource System PIA - Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory

  9. Support for non-locking parallel reception of packets belonging to a single memory reception FIFO

    DOE Patents [OSTI]

    Chen, Dong; Heidelberger, Philip; Salapura, Valentina; Senger, Robert M.; Steinmacher-Burow, Burkhard; Sugawara, Yutaka

    2011-01-27

    A method and apparatus for distributed parallel messaging in a parallel computing system. A plurality of DMA engine units are configured in a multiprocessor system to operate in parallel, one DMA engine unit for transferring a current packet received at a network reception queue to a memory location in a memory FIFO (rmFIFO) region of a memory. A control unit implements logic to determine whether any prior received packet destined for that rmFIFO is still in a process of being stored in the associated memory by another DMA engine unit of the plurality, and prevent the one DMA engine unit from indicating completion of storing the current received packet in the reception memory FIFO (rmFIFO) until all prior received packets destined for that rmFIFO are completely stored by the other DMA engine units. Thus, there is provided non-locking support so that multiple packets destined for a single rmFIFO are transferred and stored in parallel to predetermined locations in a memory.

  10. HEP Committees of Visitors | U.S. DOE Office of Science (SC)

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

    HEP Committees of Visitors Deputy Director for Science Programs Deputy Director Home Mission & Functions Deputy Director Biography Organization Staff Presentations & Testimony Federal Advisory Committees Committees of Visitors ASCR Committees of Visitors BES Committees of Visitors BER Committees of Visitors FES Committees of Visitors HEP Committees of Visitors NP Committees of Visitors WDTS Committees of Visitors Contact Information Deputy Director for Science Programs U.S. Department of

  11. ASCR Committees of Visitors | U.S. DOE Office of Science (SC)

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

    ASCR Committees of Visitors Deputy Director for Science Programs Deputy Director Home Mission & Functions Deputy Director Biography Organization Staff Presentations & Testimony Federal Advisory Committees Committees of Visitors ASCR Committees of Visitors BES Committees of Visitors BER Committees of Visitors FES Committees of Visitors HEP Committees of Visitors NP Committees of Visitors WDTS Committees of Visitors Contact Information Deputy Director for Science Programs U.S. Department

  12. Committees of Visitors | U.S. DOE Office of Science (SC)

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

    Committees of Visitors Deputy Director for Science Programs Deputy Director Home Mission & Functions Deputy Director Biography Organization Staff Presentations & Testimony Federal Advisory Committees Committees of Visitors ASCR Committees of Visitors BES Committees of Visitors BER Committees of Visitors FES Committees of Visitors HEP Committees of Visitors NP Committees of Visitors WDTS Committees of Visitors Contact Information Deputy Director for Science Programs U.S. Department of

  13. BER Committees of Visitors | U.S. DOE Office of Science (SC)

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

    BER Committees of Visitors Deputy Director for Science Programs Deputy Director Home Mission & Functions Deputy Director Biography Organization Staff Presentations & Testimony Federal Advisory Committees Committees of Visitors ASCR Committees of Visitors BES Committees of Visitors BER Committees of Visitors FES Committees of Visitors HEP Committees of Visitors NP Committees of Visitors WDTS Committees of Visitors Contact Information Deputy Director for Science Programs U.S. Department of

  14. BES Committees of Visitors | U.S. DOE Office of Science (SC)

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

    BES Committees of Visitors Deputy Director for Science Programs Deputy Director Home Mission & Functions Deputy Director Biography Organization Staff Presentations & Testimony Federal Advisory Committees Committees of Visitors ASCR Committees of Visitors BES Committees of Visitors BER Committees of Visitors FES Committees of Visitors HEP Committees of Visitors NP Committees of Visitors WDTS Committees of Visitors Contact Information Deputy Director for Science Programs U.S. Department of

  15. W7 printing from VISITOR network

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

    W7 printing from VISITOR network Last Modified by Jerry Camuso, 02/12/2015. 1 . From the "start menu", click on "Devices and Printers" 2. Click on "Add a printer" and choose "Add a local printer". 3 . Choose "create a new port" and pick "Standard TCP/IP Port" from the drop down menu. 4. Type the following for the next box and click "Next": Hostname or IP address: PRINTSERV.slac.stanford.edu Port name: This should be the DNS

  16. Illustrious Visitors Good Hosts Real Celebrity | Jefferson Lab

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

    Illustrious Visitors Good Hosts Real Celebrity Illustrious Visitors; Good Hosts! Real Celebrity. June 15, 2015 On a regular basis, the DOE Site Office asks us to update our list of illustrious visitors; often, there is nothing to say. Other times we are inundated. The past few months has seen a fine selection of events hosted by Jefferson Lab, and Jefferson Science Associates and its parent Southeastern Universities Research Association. This past week, Joachim Mnich, a member of the DESY

  17. ORO Office Safeguards and Security Clearance Tracking System and Visitor

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

    Control System PIA, Oak Ridge Operations Office | Department of Energy Office Safeguards and Security Clearance Tracking System and Visitor Control System PIA, Oak Ridge Operations Office ORO Office Safeguards and Security Clearance Tracking System and Visitor Control System PIA, Oak Ridge Operations Office ORO Office Safeguards and Security Clearance Tracking System and Visitor Control System PIA, Oak Ridge Operations Office PDF icon ORO Office Safeguards and Security Clearance Tracking

  18. Los Alamos notifies employees, visitors of possible beryllium...

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

    to beryllium could become sensitized, and an even smaller percentage could develop chronic beryllium disease. For the remaining approximately 1,650 visitors, the risks of...

  19. NP Committees of Visitors | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Committees of Visitors Nuclear Physics (NP) NP Home About Organization Chart .pdf file (31KB) Staff NP Budget NP Committees of Visitors Directions Jobs Labs & Universities Nuclear ...

  20. How ORISE is Making a Difference: Virtual Community Reception Center

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

    Virtual Community Reception Center 3-D virtual training equips health departments for mass casualty radiation emergencies Virtual Community Reception Center The Virtual Community Reception Center. Click Image to launch video. Following a mass casualty radiation emergency, public health professionals will play a crucial role in assessing radiation exposures, screening for radioactive contamination, and prioritizing people for further care. This process-population monitoring-will be conducted in

  1. Zion's New Visitor Center a Model of Energy Efficiency

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

    Zion's New Visitor Center a Model of Energy Efficiency Media may contact: George Douglas, 303-275-4096 email: George Douglas Golden, Colo., May. 26, 2000 - The energy efficient design of the new Zion Canyon Visitor Center and Transportation Center at Zion National Park in Utah saves money, reduces the buildings' impact on the environment and brings more of the outdoors inside. The building and Zion's new bus transportation system will be dedicated today. Buildings energy experts from the U.S.

  2. Fernald Preserve Visitors Center Grand Opening and LEED Platinum

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

    Certification | Department of Energy Fernald Preserve Visitors Center Grand Opening and LEED Platinum Certification Fernald Preserve Visitors Center Grand Opening and LEED Platinum Certification October 16, 2008 - 4:14pm Addthis Remarks as Prepared for Acting Deputy Secretary Kupfer Thank you, Mike, for that introduction and to both you and Jane for hosting this event. You both have been instrumental in the dramatic transformation of this site. We made a commitment more than a decade ago to

  3. Village Power Exhibit Featured at NREL's Visitors Center

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

    Village Power Exhibit Featured at NREL's Visitors Center "Powering Our Lives, Powering Our World Energy" Expo Slated for February-April For more information contact: Gary Schmitz, 303-275-4050 email: Gary Schmitz Golden, Colo., Feb. 16, 2001 - An exhibit that demonstrates how renewable energy sources can bring needed electricity to developing nations worldwide opens Feb. 20 at the Visitors Center of the U.S. Department of Energy's National Renewable Energy Laboratory. The Village Power

  4. Interagency Visitor Center at Santa Monica Mountains National Recreation Area

    High Performance Buildings Database

    Calabasas, CA This project was to develop the first visitor center for the Santa Monica Mountains National Recreation Area located in the Los Angeles, California area. The previous visitor center was across from a shopping mall in rental space at park headquarters in Thousand Oaks. The new facility is centrally located in the park at a much more appropriate natural and cultural resource setting. It is a partnership project with the Mountains Recreation and Conservation Authority, which is a local land conservation and park agency. It is also a joint facility with California State Parks.

  5. R[ CIPIENT:NREL U.S. DEPARThLFNT OF ENERGY EER E PROJECT MANAGEMENT...

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

    education and training; visitor reception; computer and data processing services; health services or recreation activities; routine maintenance activities; storage of supplies and ...

  6. Reception of longitudinal vector potential radiation with a plasma antenna

    SciTech Connect (OSTI)

    Zimmerman, Robert K. Jr.

    2013-07-28

    To help resolve the long-running debate between physicists and engineers regarding the existence of the magnetic vector potential, herewith we describe an experiment demonstrating reception of time-harmonic vector potential radiation at 1.3 GHz.

  7. FES Committees of Visitors | U.S. DOE Office of Science (SC)

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

    FES Committees of Visitors Fusion Energy Sciences Advisory Committee (FESAC) FESAC Home Meetings Members Charges/Reports Charter .pdf file (140KB) FES Committees of Visitors Federal Advisory Committees FES Home FES Committees of Visitors Print Text Size: A A A FeedbackShare Page Fusion Energy Sciences Advisory Committee (FESAC) » The links below provide an archive of Fusion Energy Sciences (FES) Committees of Visitors (COV) reports and responses. 2014 FESAC COV Report on FES Program .pdf file

  8. HEP Committees of Visitors | U.S. DOE Office of Science (SC)

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

    HEPAP Home » HEP Committees of Visitors High Energy Physics Advisory Panel (HEPAP) HEPAP Home Meetings 2016 HEPAP Membership Charges/Reports Charter .pdf file (44KB) HEP Committees of Visitors Federal Advisory Committees HEP Home HEP Committees of Visitors Print Text Size: A A A FeedbackShare Page High Energy Physics Advisory Panel (HEPAP) » The links below provide an archive of High Energy Physics (HEP) Committees of Visitors (COV) reports and responses. 2013 HEPAP COV Report on HEP Program

  9. BER Committees of Visitors | U.S. DOE Office of Science (SC)

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

    BER Committees of Visitors Biological and Environmental Research Advisory Committee (BERAC) BERAC Home Meetings Members Charges/Reports Charter .pdf file (135KB) BER Committees of Visitors Federal Advisory Committees BER Home BER Committees of Visitors Print Text Size: A A A FeedbackShare Page Biological and Environmental Research Advisory Committee (BERAC) » The links below provide an archive of Biological and Environmental Research (BER) Committees of Visitors (COV) reports and responses.

  10. BES Committees of Visitors | U.S. DOE Office of Science (SC)

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

    BES Committees of Visitors Basic Energy Sciences Advisory Committee (BESAC) BESAC Home Meetings BESAC 2016-2017 Membership Charges/Reports Charter .pdf file (128KB) BES Committees of Visitors Federal Advisory Committees BES Home BES Committees of Visitors Print Text Size: A A A FeedbackShare Page Basic Energy Sciences Advisory Committee (BESAC) » The links below provide an archive of Basic Energy Sciences (BES) Committees of Visitors (COV) reports and responses. 2015 BESAC COV Report on

  11. Highly Asynchronous VisitOr Queue Graph Toolkit

    Energy Science and Technology Software Center (OSTI)

    2012-10-01

    HAVOQGT is a C++ framework that can be used to create highly parallel graph traversal algorithms. The framework stores the graph and algorithmic data structures on external memory that is typically mapped to high performance locally attached NAND FLASH arrays. The framework supports a vertex-centered visitor programming model. The frameworkd has been used to implement breadth first search, connected components, and single source shortest path.

  12. 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...

  13. 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

  14. JLab Registration/International Services - Researcher/Visitor ID

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

    Requirements Researcher/Visitor ID Requirements CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS U.S. Citizens must bring a valid Government issued ID card that contains a photo such as a passport or valid driver's license. Non-driver photo identification cards issued by the Department of Motor Vehicles can be used as proof of identification. Lawful Permanent Resident of the United States must bring their Green Card or passport with valid I-551 stamp AND a valid government issued

  15. More than 480 visitors from 23 states take site tour during Secret City

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

    Festival | Y-12 National Security Complex More than 480 visitors from ... More than 480 visitors from 23 states take site tour during Secret City Festival Posted: June 25, 2014 - 8:34am Tours of Y-12 on June 13 brought more than 480 visitors. Y-12 employee and tour guide Bill Wilburn, left, chats with Teresa Neas, and her husband Kim, whose mother, Audeane Bowers-Neas, worked at Y-12 in the 1940s. Tours of Y-12 on June 13 brought more than 480 visitors. Tourists from 23 states and the

  16. NP Committees of Visitors | U.S. DOE Office of Science (SC)

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

    NP Committees of Visitors Nuclear Science Advisory Committee (NSAC) NSAC Home Meetings NSAC Members Charges/Reports Charter .pdf file (78KB) NP Committees of Visitors Federal Advisory Committees NP Home NP Committees of Visitors Print Text Size: A A A FeedbackShare Page DOE/NSF Nuclear Science Advisory Committee (NSAC) » The links below provide an archive of Nuclear Physics (NP) Committees of Visitors (COV) reports and responses. 2013 NSAC COV Report on NP Program .pdf file (1.8MB) NP Response

  17. Attachment B Visitor Tours at TA-53 TA53-FO-121-001B.4 Preparation Checklist for Visitor Tours at TA-53

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

    Attachment B Visitor Tours at TA-53 TA53-FO-121-001B.4 Preparation Checklist for Visitor Tours at TA-53 This checklist provides reminders of safety and security considerations in preparation and implementation of tours at TA-53. Tour Date: Purpose of Tour or Tour Title: Tour Host and Z#: State Time and Approximate Duration: Tour Type Check all that apply: Educational Outreach/Student Tour with Minors Large Group Tour Other Tour High Level or Distinguished Work Related Tour Preparation, Visitor

  18. 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 ...

  19. 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...

  20. computers

    National Nuclear Security Administration (NNSA)

    California.

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

    1. Acclaim for Three Leaders at Annual NREL Stakeholders Reception - News

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

      Releases | NREL Acclaim for Three Leaders at Annual NREL Stakeholders Reception December 9, 2003 Golden, Colo. - The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) will honor three distinguished Coloradoans today for their leadership in promoting renewable energy and energy efficiency. Lola Spradley, speaker, Colorado House of Representatives. Spradley has set a positive course for the Legislature in promoting the use of renewable energy in the state. Cal Marsella,

    2. 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, ...

    3. DMA shared byte counters in a parallel computer

      DOE Patents [OSTI]

      Chen, Dong; Gara, Alan G.; Heidelberger, Philip; Vranas, Pavlos

      2010-04-06

      A parallel computer system is constructed as a network of interconnected compute nodes. Each of the compute nodes includes at least one processor, a memory and a DMA engine. The DMA engine includes a processor interface for interfacing with the at least one processor, DMA logic, a memory interface for interfacing with the memory, a DMA network interface for interfacing with the network, injection and reception byte counters, injection and reception FIFO metadata, and status registers and control registers. The injection FIFOs maintain memory locations of the injection FIFO metadata memory locations including its current head and tail, and the reception FIFOs maintain the reception FIFO metadata memory locations including its current head and tail. The injection byte counters and reception byte counters may be shared between messages.

    4. 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

    5. FES Committees of Visitors | U.S. DOE Office of Science (SC)

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

      Committees of Visitors Fusion Energy Sciences (FES) FES Home About Organization Chart .pdf file (78KB) Staff FES Budget FES Committees of Visitors Directions Jobs Fusion and Plasmas Research Facilities Science Highlights Benefits of FES Funding Opportunities Fusion Energy Sciences Advisory Committee (FESAC) Community Resources Contact Information Fusion Energy Sciences U.S. Department of Energy SC-24/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-4941 F: (301)

    6. HEP Committees of Visitors | U.S. DOE Office of Science (SC)

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

      Committees of Visitors High Energy Physics (HEP) HEP Home About Organization Chart .pdf file (141KB) Staff HEP Budget HEP Committees of Visitors Directions Jobs University Research & National Labs Research Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees Community Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F: (301) 903-2597 E:

    7. WDTS Committees of Visitors | U.S. DOE Office of Science (SC)

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

      Committees of Visitors Workforce Development for Teachers and Scientists (WDTS) WDTS Home About Organization Chart .pdf file (24KB) WDTS Budget WDTS Committees of Visitors Jobs Science Undergraduate Laboratory Internships (SULI) Community College Internships (CCI) Visiting Faculty Program (VFP) at DOE Laboratories DOE Office of Science Graduate Student Research (SCGSR) Program Albert Einstein Distinguished Educator Fellowship (AEF) Program DOE National Science Bowl® (NSB) STEM Resources

    8. BER Committees of Visitors | U.S. DOE Office of Science (SC)

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

      BER Committees of Visitors Biological and Environmental Research (BER) BER Home About Organization Chart .pdf file (73KB) Staff BER Budget BER Committees of Visitors Directions Jobs Research Facilities Science Highlights Benefits of BER Funding Opportunities Biological & Environmental Research Advisory Committee (BERAC) Community Resources Contact Information Biological and Environmental Research U.S. Department of Energy SC-23/Germantown Building 1000 Independence Ave., SW Washington, DC

    9. BES Committees of Visitors | U.S. DOE Office of Science (SC)

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

      Committees of Visitors Basic Energy Sciences (BES) BES Home About Organization Chart .pdf file (132KB) Staff BES Budget BES Committees of Visitors Directions Jobs Organizational History Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301)

    10. U.S. Department of Energy Solar Decathlon Visitors Guide 2015

      SciTech Connect (OSTI)

      2015-09-03

      The U.S. Department of Energy 2015 Visitors Guide is a free, hard-copy publication distributed free to those attending the Solar Decathlon event. The publications' objectives are to serve as the primary information resource for those in attendance, and to deliver a compelling message about the Solar Decathlon's success as a proven workforce development program and its role in educating students and the public about clean energy products and design solutions. The U.S. Department of Energy 2015 Visitors Guide SD15 Visitors Guide goals are to guide attendees through the Solar Decathlon village; List and explain the 10 contests; educate attendees about the participating teams and their competition houses; provide access to more information on the Solar Decathlon website through the use of QR codes; and acknowledge the support of all event sponsors.

    11. Y-12 has almost 500 visitors from 23 states tour site during Secret City

      National Nuclear Security Administration (NNSA)

      Festival | National Nuclear Security Administration has almost 500 visitors from 23 states tour site during Secret City Festival Wednesday, June 25, 2014 - 3:34pm NNSA Blog B&W Y-12 employee and tour guide Bill Wilburn, left, chats with Teresa Neas, and her husband Kim, whose mother, Audeane Bowers-Neas, worked at Y-12 in the 1940s. Tours of Y-12 on June 13 brought almost 500 visitors. Tourists from 23 states and the District of Columbia toured the site as part of Oak Ridge's 12th

    12. Computing Videos

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

      Computing Videos Computing

    13. ALS Visitors

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

      ... The new president, the first woman to hold the post, is ... Also on Friday Feb 22, Andrew Liveris, President, Chairman, ... Public Affairs).) January 2013 US Congresswoman Barbara ...

    14. ALS Visitors

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

      ... December 2013 On December 5, Steve Binkley, the new Associate Director of the Advanced ... earlier discussion with Energy Secretary Steven Chu in Washington about energy research ...

    15. High Energy Theory Workshops and Visitors at the Michigan Center for Theoretical Physics FY14

      SciTech Connect (OSTI)

      Pierce, Aaron T.

      2014-04-01

      The workshop was held from September 23-25, 2013 on the University of Michigan campus. Local organizers were Dragan Huterer, Katherine Freese, and Heidi Wu (University of Michigan). Marilena Lo Verde (University of Chicago) also served as an external organizer. This workshop sought to gather experimentalists and theorists to discuss and define directions in cosmology research after the 1st year release of Planck data. The workshop included 35 invited (non-U-M) cosmologists, most of them relatively junior. The workshop was notable for spirited discussion of various theoretical ideas and experimental developments, and particularly on how one could test theory with ongoing and future experiments. In our follow-up poll, 95% of participants reported that interactions with other participants at the workshop may lead to further collaboration. Most participants (again about 95%) reported that they are very satisfied with the quality of the program, information they received, and the logistical support. Slides are available on line at: http://www.umich.edu/~mctp/SciPrgPgs/events/2013/CAP13/program.html. The YHET visitor program invited weekly young visitors to the University of Michigan campus to present their work. This year 23 participants came under the program. Slides are available on line for talks when applicable: http://mctp.physics.lsa.umich.edu/brown-bag-seminar-history/winter 2014 and http://mctp.physics.lsa.umich.edu/brown-bag-seminar-history/fall-2013.

    16. High Energy Theory Workshops and Visitors at the Michigan Center for Theoretical Physics FY15

      SciTech Connect (OSTI)

      Pierce, Aaron T.

      2015-09-18

      The String theory workshop was held from March 4-7, 2015 on the University of Michigan campus. Local organizers were Gordon Kane and Aaron Pierce. Piyush Kumar (Yale), Jim Halverson (KITP), Bobby Acharya (ICTP) and Sven Krippendorf (Oxford) served as external organizers.The meeting focused on the status of work to project 10 or 11 dimensional string/M theories onto our 4 spacetime dimensions (compactification). The workshop had 31 participants, half from outside the U.S. Participants were encouraged to focus on predictions for recent and forthcoming data, particularly for Higgs physics and LHC and dark matter, rather than on the traditional approach of embedding the Standard Model particles and forces. The Higgs boson sympoosium was locally organized by James Wells (chair), Aaron Pierce and Jianming Qian. Additional input in the early stages by Stefan Pokorski (Warsaw) who was unable to attend in the end. The workshop consistent of 22 talks from experts around the world, both theoretical and experimental. Experimentalists summarized the current state of knowledge of the Higgs boson and its varients. The theory talks ranged from technical calculations of Standard Model processes to speculative novel ideas. The YHET visitor program invited weekly young visitors to the University of Michigan campus to present their work. This year 24 participants came under the program, with 17 of them receiving at least partial support for their visits.

    17. Carrier-frequency synchronization system for improved amplitude modulation and television broadcast reception

      DOE Patents [OSTI]

      Smith, Stephen F.; Moore, James A.

      2003-05-13

      Systems and methods are described for carrier-frequency synchronization for improved AM and TV broadcast reception. A method includes synchronizing a carrier frequency of a broadcast signal with a remote reference frequency. An apparatus includes a reference signal receiver; a phase comparator coupled to the reference signal receiver; a voltage controlled oscillator coupled to the phase comparator; and a radio frequency output coupled to the voltage controlled oscillator.

    18. Visitor center at the Antelope Valley California Poppy Reserve, Lancaster, California

      SciTech Connect (OSTI)

      Colyer, R.D.; Freeman, S.P.

      1981-01-01

      The Antelope Valley California Poppy Reserve contains the largest remaining stand of the California Poppy (Eschschozia Californica), the state flower of California. To welcome the thousands of people viewing the desert wildflowers each spring, the State of California decided to build a visitor/interpretive center. This building deals primarily with the question of fit; a building's fit aesthetically with its site and the fit of a building's design response to the climate of the site. In this case, both aspects of this question led the client and architects to seek an earth sheltered solution using materials at least metaphorically indigenous to the region. On both a technical and formal level, this building seeks to fit the unique climate and historical heritage of its site.

    19. Advanced Scientific Computing Advisory Committee (ASCAC) Homepage | U.S.

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

      DOE Office of Science (SC) ASCAC Home Advanced Scientific Computing Advisory Committee (ASCAC) ASCAC Home Meetings Members Charges/Reports ASCAC Charter 2015 - signed .pdf file (134KB) ASCR Committees of Visitors Federal Advisory Committees ASCR Home Exascale Advisory Committee Report .pdf file (2.1MB) The Opportunities and Challenges of Exascale Computing The Exascale initiative will be significant and transformative for Department of Energy missions. The ASCAC Subcommitte report is

    20. Carrier phase synchronization system for improved amplitude modulation and television broadcast reception

      DOE Patents [OSTI]

      Smith, Stephen F.; Moore, James A.

      2011-02-01

      Systems and methods are described for carrier phase synchronization for improved AM and TV broadcast reception. A method includes synchronizing the phase of a carrier frequency of a broadcast signal with the phase of a remote reference frequency. An apparatus includes a receiver to detect the phase of a reference signal; a phase comparator coupled to the reference signal-phase receiver; a voltage controlled oscillator coupled to the phase comparator; and a phase-controlled radio frequency output coupled to the voltage controlled oscillator.

    1. Carrier phase synchronization system for improved amplitude modulation and television broadcast reception

      DOE Patents [OSTI]

      Smith, Stephen F. [Loudon, TN; Moore, James A. [Powell, TN

      2009-09-08

      Systems and methods are described for carrier phase synchronization for improved AM and TV broadcast reception. A method includes synchronizing the phase of a carrier frequency of a broadcast signal with the phase of a remote reference frequency. An apparatus includes a receiver to detect the phase of a reference signal; a phase comparator coupled to the reference signal-phase receiver; a voltage controlled oscillator coupled to the phase comparator; and a phase-controlled radio frequency output coupled to the voltage controlled oscillator.

    2. Solar space heating for the visitors' center, Stephens College, Columbia, Missouri. Final report

      SciTech Connect (OSTI)

      Henley, Marion

      1980-06-01

      This document is the final report of the solar energy system located at the Visitors' Center on the Stephens College Campus, Columbia, Missouri. The system is installed in a four-story, 15,000 square foot building designed to include the college's Admission Office, nine guest rooms for overnight lodging for official guests of the college, a two-story art gallery, and a Faculty Lounge. The solar energy system is an integral design of the building and utilizes 176 Honeywell/Lennox hydronic flat-plate collectors which use a 50% water-ethylene glycol solution and water-to-water heat exchanger. Solar heated water is stored in a 5000 gallon water storage tank located in the basement equipment room. A natural gas fired hot water boiler supplies hot water when the solar energy heat supply fails to meet the demand. The designed solar contribution is 71% of the heating load. The demonstration period for this project ends June 30, 1984.

    3. Visiting Us | Argonne Leadership Computing Facility

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

      Visitor Registration Form Visitor Registration Form As a national laboratory, formal registration is REQUIRED for all visitors coming to Argonne National Laboratory. Visitors must fill out the visitor registration form. If you require hotel accommodations while you are onsite, please contact the Argonne Guest House. You will need to bring your driver's license for entry to the Laboratory. If you are from a DOE Laboratory, please bring your badge with you. If you will be arriving Sunday, please

    4. 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, ...

    5. 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...

    6. 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 ...

    7. Computer Science Research Institute 2005 annual report of activities.

      SciTech Connect (OSTI)

      Watts, Bernadette M.; Collis, Samuel Scott; Ceballos, Deanna Rose; Womble, David Eugene

      2008-04-01

      This report summarizes the activities of the Computer Science Research Institute (CSRI) at Sandia National Laboratories during the period January 1, 2005 to December 31, 2005. During this period, the CSRI hosted 182 visitors representing 83 universities, companies and laboratories. Of these, 60 were summer students or faculty. The CSRI partially sponsored 2 workshops and also organized and was the primary host for 3 workshops. These 3 CSRI sponsored workshops had 105 participants, 78 from universities, companies and laboratories, and 27 from Sandia. Finally, the CSRI sponsored 12 long-term collaborative research projects and 3 Sabbaticals.

    8. Computer Science Research Institute 2004 annual report of activities.

      SciTech Connect (OSTI)

      DeLap, Barbara J.; Womble, David Eugene; Ceballos, Deanna Rose

      2006-03-01

      This report summarizes the activities of the Computer Science Research Institute (CSRI) at Sandia National Laboratories during the period January 1, 2004 to December 31, 2004. During this period the CSRI hosted 166 visitors representing 81 universities, companies and laboratories. Of these 65 were summer students or faculty. The CSRI partially sponsored 2 workshops and also organized and was the primary host for 4 workshops. These 4 CSRI sponsored workshops had 140 participants--74 from universities, companies and laboratories, and 66 from Sandia. Finally, the CSRI sponsored 14 long-term collaborative research projects and 5 Sabbaticals.

    9. Computer Science Research Institute 2003 annual report of activities.

      SciTech Connect (OSTI)

      DeLap, Barbara J.; Womble, David Eugene; Ceballos, Deanna Rose

      2006-03-01

      This report summarizes the activities of the Computer Science Research Institute (CSRI) at Sandia National Laboratories during the period January 1, 2003 to December 31, 2003. During this period the CSRI hosted 164 visitors representing 78 universities, companies and laboratories. Of these 78 were summer students or faculty members. The CSRI partially sponsored 5 workshops and also organized and was the primary host for 3 workshops. These 3 CSRI sponsored workshops had 178 participants--137 from universities, companies and laboratories, and 41 from Sandia. Finally, the CSRI sponsored 18 long-term collaborative research projects and 5 Sabbaticals.

    10. 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

    11. 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,...

    12. 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, ...

    13. 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

    14. 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

    15. Jefferson Lab Visitor's Center

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

    16. 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

    17. 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

    18. 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...

    19. 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 ...

    20. 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...

    1. 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

    2. 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 ...

    3. 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...

    4. 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 ...

    5. Virtual Community Reception Center

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

    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. 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...

    8. 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.

    9. 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.

    10. 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

    11. 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.

    12. 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 ...

    13. 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...

    14. 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

    15. 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.

    16. 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

    17. 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 ...

    18. 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...

    19. Executing scatter operation to parallel computer nodes by repeatedly broadcasting content of send buffer partition corresponding to each node upon bitwise OR operation

      DOE Patents [OSTI]

      Archer, Charles J.; Ratterman, Joseph D.

      2009-11-06

      Executing a scatter operation on a parallel computer includes: configuring a send buffer on a logical root, the send buffer having positions, each position corresponding to a ranked node in an operational group of compute nodes and for storing contents scattered to that ranked node; and repeatedly for each position in the send buffer: broadcasting, by the logical root to each of the other compute nodes on a global combining network, the contents of the current position of the send buffer using a bitwise OR operation, determining, by each compute node, whether the current position in the send buffer corresponds with the rank of that compute node, if the current position corresponds with the rank, receiving the contents and storing the contents in a reception buffer of that compute node, and if the current position does not correspond with the rank, discarding the contents.

    20. LANSCE | User Resources | Visitor Registration

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

      Visit Registration Users must register online at least: 4 weeks prior to experiment for U.S. citizens 2 months prior to experiment for foreign nationals. Lujan Center WNR Visit Registration Visit Registration

    1. 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...

    2. 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.

    3. 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...

    4. 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 ...

    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. 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...

    8. 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. ...

    9. 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

    10. 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.

    11. 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

    12. 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.

    13. 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

    14. 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. ...

    15. 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...

    16. 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.

    17. 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...

    18. 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

    19. 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

    20. 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.

    1. 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

    2. 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,

    3. 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)

    4. 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.

    5. 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...

    6. 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.

    7. 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

    8. 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

    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. 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

    11. 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 ...

    12. 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 ...

    13. 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.

    14. 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

    15. 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 ...

    16. 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

    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. 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.

    19. 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.

    20. 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}.

    1. 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 ...

    2. 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

    3. 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.

    4. 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.

    5. 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 ...

    6. 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

    7. 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.

    8. 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.

    9. 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

    10. 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

    11. 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

    12. 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

    13. 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

    14. 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 ...

    15. 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

    16. 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,

    17. 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,...

    18. 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

    19. 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

    20. 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...

    1. 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 ...

    2. 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 ...

    3. 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...

    4. 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 ...

    5. 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.

    6. 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.

    7. 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.

    8. 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

    9. 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.

    10. 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 ...

    11. 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 ...

    12. 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

    13. 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

    14. 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

    15. PRIVACY IMPACT ASSESSMENT: Visitor Dosimeter Badge Tracking

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

      ... NA The PII is required by Department of labor (DOL), the Administrator of the EEOICPA. The INl receives the claimant's name and Social Security information from the agency, not ...

    16. Jefferson Lab Visitor's Center - Schedule a Tour

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

      Venturing into these magnetic fields could pose safety hazards to individuals with implanted surgical andor bioelectronic devices (e.g. cardiac pacemaker, heart valve implant, ear ...

    17. Jefferson Lab Visitor's Center - Driving in Virginia

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

      Driving in virginia Effective January 1, 2004, all applicants for a driver's license or photo ID card must show proof of U.S. Citizenship or Legal Presence in the United States. A U.S. birth certificate or unexpired U.S. passport will serve as both proof of identity and proof of legal presence. It can also be proved using a variety of other documents, such as a Certificate of Citizenship, Resident Alien Card or a valid foreign passport with a visa, I-94 or I-94W from a participating country. If

    18. Jefferson Lab Visitor's Center - Travel Accommodations

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

      Travel Accommodations While visiting or working at JLab there are many options for living accommodations. These options vary depending upon the expected length of stay, transportation available and money allotted for housing expenses. The following information has been compiled to assist in the search for living accommodations near the lab. For further assistance e-mail User Liaison or call 757-269-6388. On-Site Accommodations SURA Residence Facility Off-Site Accommodations Negotiated Lodging

    19. W7 printing from VISITOR network

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

      2. Click on "Add a printer" and choose "Add a local printer". 3 . Choose "create a new port" and pick "Standard TCPIP Port" from the drop down menu. 4. Type the following for the...

    20. DOE - Office of Legacy Management -- Visitors Center

      Office of Legacy Management (LM)

      farming, uranium production, and environmental cleanup eras, as well as the recent ecological restoration and legacy management mission, is presented through a series of exhibits. ...

    1. 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.

    2. 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

    3. 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

    4. 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

    5. 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

    6. 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.

    7. 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.

    8. 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.

    9. 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.

    10. 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

    11. 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.

    12. 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.

    13. 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.

    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 o

    15. 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

    16. 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.

    17. 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.

    18. 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

    19. 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....

    20. 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...

    1. 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

    2. 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

    3. 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.

    4. 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 .

    5. 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.

    6. 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.

    7. 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.

    8. 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

    9. 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

    10. 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, ...

    11. 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 ...

    12. 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...

    13. 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...

    14. 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

    15. Summit Opening Reception | Department of Energy

      Office of Environmental Management (EM)

      Summertime Energy Savings Summertime Energy Savings June 15, 2010 - 7:30am Addthis Drew Bittner Writer/Editor, Office of Energy Efficiency and Renewable Energy I can't believe how fast winter gave way to summer. Seems like just yesterday we were digging out from Snowpocalypse here on the East Coast, dealing with mountains of the white stuff and wondering if we'd ever be out of the deep freeze. Well, now we are, and we have to make sure our homes and vehicles are ready for it. First off, a couple

    16. 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

    17. 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.

    18. 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

    19. 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

    20. 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 ...

    1. 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...

    2. 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 ...

    3. 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.

    4. 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...

    5. 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 ...

    6. 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.

    7. 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 ...

    8. 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.

    9. 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

    10. 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.

    11. 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:

    12. 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.

    13. 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...

    14. 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.

    15. 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...

    16. 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:...

    17. 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

    18. 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

    19. 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

    20. 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.

    1. 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)

    2. 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

    3. 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.

    4. 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

    5. 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

    6. 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.

    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. 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

    9. 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...

    10. 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 ...

    11. 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 ...

    12. 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...

    13. 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 ...

    14. 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, ...

    15. 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, ...

    16. 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...

    17. 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...

    18. 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...

    19. 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...

    20. 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 ...

    1. 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, ...

    2. 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. ...

    3. 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 ...

    4. 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 ...

    5. 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, ...

    6. 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...

    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...

    8. 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...

    9. 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 ...

    10. 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...

    11. 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...

    12. 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 ...

    13. 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...

    14. 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.

    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. 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

    17. 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.

    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. 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.

    20. 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.

    1. 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.

    2. 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.

    3. 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.

    4. 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

    5. 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

    6. 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.

    7. 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.

    8. 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.

    9. 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.

    10. 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.

    11. 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.

    12. 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.

    13. 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

    14. 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

    15. 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

    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. 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

    20. 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.

    1. 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.

    2. 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.

    3. 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

    4. 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,

    5. 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

    6. 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

    7. 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.

    8. 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

    9. 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

    10. 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.

    11. 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

    12. 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

    13. 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

    14. Directions | Argonne National Laboratory

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

      Getting to Argonne Drive south on Cass Avenue Just south of I-55 turn right onto Northgate Road (just south of the Frontage Road) As you approach the main Argonne entrance gate you will see the Visitor Reception Building (VRC) on your right - turn into the VRC parking lot Everyone in your bus over the age of 16 must enter the VRC and obtain a pass at the reception desk Visitor Check-in Procedure After everyone over the age of 16 has obtained a gate pass and has re-boarded the bus pull out of

    15. 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.

    16. 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.

    17. 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.

    18. 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.

    19. 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

    20. 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

    1. 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.

    2. 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

    3. 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.

    4. 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.

    5. 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...

    6. 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.

    7. 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.

    8. 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

    9. 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

    10. 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 ...

    11. 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

    12. 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

    13. 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

    14. 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

    15. 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

    16. 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

    17. 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

    18. 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.

    19. 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,

    20. 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

    1. 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.

    2. 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.

    3. 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.

    4. 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.

    5. 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

    6. 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.

    7. 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).

    8. 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 ...

    9. 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...

    10. 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...

    11. 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.

    12. 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.

    13. 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.

    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. 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

    20. 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

    1. 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

    2. 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

    3. 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

    4. 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.

    5. 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.

    6. 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)

    7. 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.

    8. 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

    9. 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

    10. 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

    11. 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

    12. 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

    13. 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

    14. 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...

    15. 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...

    16. 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 ...

    17. 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...

    18. 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.

    19. 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 ...

    20. 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...

    1. 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.

    2. 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 ...

    3. 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...

    4. 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.

    5. 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,...

    6. 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 ...

    7. 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 ...

    8. 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.

    9. 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.

    10. 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...

    11. 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...

    12. 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...

    13. 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...

    14. 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...

    15. 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 ...

    16. 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...

    17. 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 ...

    18. 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. ...

    19. 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. ...

    20. 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 ...

    1. 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 ...

    2. 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 ...

    3. 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....

    4. 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 ...

    5. 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 ...

    6. 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 ...

    7. 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...

    8. 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

    9. 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

    10. 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...

    11. 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...

    12. 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:...

    13. 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. ...

    14. 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 ...

    15. 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:...

    16. 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 ...

    17. 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...

    18. 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 ...

    19. 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...

    20. 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), ...

    1. 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 ...

    2. 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.

    3. Fernald Preserve Attracts 50,000 Visitors | Department of Energy

      Energy Savers [EERE]

      Department of Energy Federal Utility Partnership Working Group Meeting: Washington Update PDF icon fupwg_spring12_unruh.pdf More Documents & Publications Federal Utility Partnership Working Group Meeting: Washington Update Energy Savings Performance Contract ENABLE Briefing December Presidential Memo: ESPCs and UESCs Department of Energy

      Presentation-given at the Fall 2012 Federal Utility Partnership Working Group (FUPWG) meeting-discusses the Federal Buildings Personnel Training

    4. NREL: Technology Transfer - Kuwait Visitors Interested in NREL...

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

      to improve energy efficiency in their refining operations. KOC may also apply concentrated solar power technology to produce some of the steam needed in the company's operations...

    5. Fernald Preserve Visitors Center Grand Opening and LEED Platinum...

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

      ... And so, in addition to preserving an important part of our history, the center will be an ... of Design, Architecture, Art and Planning; and a number of highly skilled subcontractors. ...

    6. Mobile Visitors in Particular to Note Web Upgrade

      Office of Energy Efficiency and Renewable Energy (EERE)

      WASHINGTON, D.C. – DOE recently launched changes to Energy.gov, which includes the public website for EM.

    7. Visitor Info | NEES - EFRC | University of Maryland Energy Frontier...

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

      across Paint Branch Drive. From points south and west of Washington, DC, and Montgomery County, MD: Take the Capital Beltway (I-495) and head north and east. Just after...

    8. 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 ...

    9. 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 ...

    10. 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

    11. 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.

    12. 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

    13. 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.

    14. 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.

    15. 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.

    16. 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.

    17. 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.

    18. 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.

    19. 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.

    20. 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.

    1. 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.

    2. 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

    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. 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.

    5. 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)

    6. 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.

    7. 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

    8. Computer Model Buildings Contaminated with Radioactive Material

      Energy Science and Technology Software Center (OSTI)

      1998-05-19

      The RESRAD-BUILD computer code is a pathway analysis model designed to evaluate the potential radiological dose incurred by an individual who works or lives in a building contaminated with radioactive material.

    9. Visualization Clusters | Argonne Leadership Computing Facility

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

      Cooley has a total of 126 compute nodes; each node has 12 CPU cores and one NVIDIA Tesla K80 dual-GPU card. Aggregate GPU peak performance is over 293 teraflops double...

    10. 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.

    11. 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.

    12. 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.

    13. 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.

    14. 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,...

    15. 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:...

    16. Annihilating nanoscale defects | Argonne Leadership Computing...

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

      ... at the Argonne Leadership Computing Facility, a DOE Office of Science User Facility. ... Their long-term goal, with support from the DOE's Office of Science, is to arrive at an ...

    17. Low Mach Number Models in Computational Astrophysics

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

      Ann Almgren Low Mach Number Models in Computational Astrophysics February 4, 2014 Ann Almgren. Berkeley Lab Downloads Almgren-nug2014.pdf | Adobe Acrobat PDF file Low Mach Number...

    18. Validating Computer-Designed Proteins for Vaccines

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

      Computed As strange as it sounds, most vaccines are composed of actual dead viruses and bacteria. The idea is that presenting a dead form of the pathogen will fake your body into...

    19. Validating Computer-Designed Proteins for Vaccines

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

      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...

    20. Ramesh Balakrishnan | Argonne Leadership Computing Facility

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

      Ramesh Balakrishnan Computational Scientist Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1128 Argonne, Illinois 60439 630-252-4191 bramesh@anl.gov Areas of Interest: CFD, Numerical Methods, Turbulence

    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...

    2. Beyond moore computing research challenge workshop report.

      SciTech Connect (OSTI)

      Huey, Mark C.; Aidun, John Bahram

      2013-10-01

      We summarize the presentations and break out session discussions from the in-house workshop that was held on 11 July 2013 to acquaint a wider group of Sandians with the Beyond Moore Computing research challenge.

    3. Quantum Process Matrix Computation by Monte Carlo

      Energy Science and Technology Software Center (OSTI)

      2012-09-11

      The software package, processMC, is a python script that allows for the rapid modeling of small , noisy quantum systems and the computation of the averaged quantum evolution map.

    4. Session on computation in biological pathways

      SciTech Connect (OSTI)

      Karp, P.D.; Riley, M.

      1996-12-31

      The papers in this session focus on the development of pathway databases and computational tools for pathway analysis. The discussion involves existing databases of sequenced genomes, as well as techniques for studying regulatory pathways.

    5. Computes Generalized Electromagnetic Interactions Between Structures

      Energy Science and Technology Software Center (OSTI)

      1999-02-20

      Object oriented software for computing generalized electromagnetic interactions between structures in the frequency domains. The software is based on integral equations. There is also a static integral equation capability.

    6. Interdisciplinary Engineer (Electrical/Electronics/Nuclear/Computer)

      Broader source: Energy.gov [DOE]

      THIS IS AN INTERDISCIPLINARY POSITION AND MAY BE FILLED WITH ANY OF THE FOLLOWING OCCUPATIONS: Electrical Engineer, GS-0850-12 Electronics Engineer, GS-0855-12 Nuclear Engineer, GS-0840-12 Computer...

    7. Bringing Advanced Computational Techniques to Energy Research

      SciTech Connect (OSTI)

      Mitchell, Julie C

      2012-11-17

      Please find attached our final technical report for the BACTER Institute award. BACTER was created as a graduate and postdoctoral training program for the advancement of computational biology applied to questions of relevance to bioenergy research.

    8. Applications in Data-Intensive Computing

      SciTech Connect (OSTI)

      Shah, Anuj R.; Adkins, Joshua N.; Baxter, Douglas J.; Cannon, William R.; Chavarra-Miranda, Daniel; Choudhury, Sutanay; Gorton, Ian; Gracio, Deborah K.; Halter, Todd D.; Jaitly, Navdeep; Johnson, John R.; Kouzes, Richard T.; Macduff, Matt C.; Marquez, Andres; Monroe, Matthew E.; Oehmen, Christopher S.; Pike, William A.; Scherrer, Chad; Villa, Oreste; Webb-Robertson, Bobbie-Jo M.; Whitney, Paul D.; Zuljevic, Nino

      2010-04-01

      This book chapter, to be published in Advances in Computers, Volume 78, in 2010 describes applications of data intensive computing (DIC). This is an invited chapter resulting from a previous publication on DIC. This work summarizes efforts coming out of the PNNL's Data Intensive Computing Initiative. Advances in technology have empowered individuals with the ability to generate digital content with mouse clicks and voice commands. Digital pictures, emails, text messages, home videos, audio, and webpages are common examples of digital content that are generated on a regular basis. Data intensive computing facilitates human understanding of complex problems. Data-intensive applications provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements through the development of new classes of software, algorithms, and hardware.

    9. High Performance Computing Data Center (Fact Sheet)

      SciTech Connect (OSTI)

      Not Available

      2012-08-01

      This two-page fact sheet describes the new High Performance Computing Data Center being built in the ESIF and talks about some of the capabilities and unique features of the center.

    10. Validating Computer-Designed Proteins for Vaccines

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

      apply to a variety of other vaccine targets, such as human immunodeficiency virus and influenza. Wanted: Dead or Computed As strange as it sounds, most vaccines are composed of...

    11. Christopher J. Knight | Argonne Leadership Computing Facility

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

      Christopher J. Knight Assistant Computational Scientist Christopher Knight Argonne National Laboratory 9700 S. Cass Avenue Building 240 - Rm. 1132 Argonne, IL 60439 630-252-9793 knightc@anl

    12. Timothy Williams | Argonne Leadership Computing Facility

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

      Timothy Williams Deputy Director of Science Timothy Williams Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 2129 Argonne, IL 60439 630-252-1154 tjwilliams@anl.gov http://alcf.anl.gov/~zippy Tim Williams is a computational scientist at the Argonne Leadership Computing Facility (ALCF), where he serves as Deputy Director of Science. He is manager of the Early Science Program, which prepares scientific applications for early use of the facility's next-generation

    13. Vitali Morozov | Argonne Leadership Computing Facility

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

      Vitali Morozov Principal Application Performance Engineer Vitali Morozov Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1127 Argonne, IL 60439 630 252-7068 morozov@anl.gov Vitali Morozov is a Principal Application Performance Engineer at the ALCF. He received his B.S. in Mathematics from Novosibirsk State University, and a Ph.D. in Computer Science from Ershov's Institute for Informatics Systems, Novosibirsk, Russia. At Argonne since 2001, he has been working on computer

    14. ACM TOMS replicated computational results initiative

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

      Heroux, Michael Allen

      2015-06-03

      In this study, the scientific community relies on the peer review process for assuring the quality of published material, the goal of which is to build a body of work we can trust. Computational journals such as The ACM Transactions on Mathematical Software (TOMS) use this process for rigorously promoting the clarity and completeness of content, and citation of prior work. At the same time, it is unusual to independently confirm computational results.

    15. 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, "Large-scale molecular dynamics simulations of shock induced plasticity in tantalum single crystals," AIP Conference Proceedings 1426, 1263-1266 (2012). Frank J. Cherne, Guy Dimonte, and Timothy C. Germann, "Richtymer-Meshkov instability examined with large-scale molecular dynamics simulations," AIP

    16. Extreme Scale Computing, Co-design

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

      Extreme Scale Computing, Co-design Informing system design, ensuring productive and efficient code Project Description To address the increasingly complex problems of the modern world, scientists at Los Alamos are pushing the scale of computing to the extreme, forming partnerships with other national laboratories and industry to develop supercomputers that can achieve "exaflop" speeds-that is, a quintillion (a million trillion) calculations per second. To put such speed in perspective,

    17. 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 mechanically interlocked molecular architectures consisting of a dumbbell-shaped molecule, the "axle," that threads through a ring called a macrocycle. Because the rings can spin around and slide along the axle, rotaxanes are promising components of molecular machines. While most rotaxanes have been entirely

    18. Our Teams | 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 Expert Teams World-Class Expertise Our talented and diverse staff help make the ALCF one of the world's premier centers for computational science and engineering. Catalysts Catalysts are computational scientists who work directly with project teams to maximize and accelerate their research efforts. With multidisciplinary domain expertise, a deep knowledge of the ALCF

    19. Staff Directory | 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 Staff Directory Yury Alekseev Yuri Alexeev Assistant Computational Scientist Catalyst 630-252-0157 yuri@alcf.anl.gov Bill Allcock Bill Allcock Manager, Advanced Integration Group Leadership, AIG 630-252-7573 allcock@anl.gov Ben Allen HPC Systems Administration Specialist Systems 630-252-0554 allen@alcf.anl.gov Ramesh Balakrishnan Computational Scientist Catalyst

    20. Sandia National Laboratories: Advanced Simulation and Computing

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

      Facebook Twitter YouTube Flickr RSS Advanced Simulation and Computing Advanced Simulation and Computing Taking on the World's Complex Challenges Advancing Science Frontiers Our research is producing new scientific insights about the world in which we live and assists in certifying the safety and reliability of the nation's nuclear weapons stockpile. Technology Provides the Tools Growth in data and the software and hardware demands needed for physics-based answers and predictive capabilities are