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Sample records for high performance computer

  1. 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...

  2. High Performance Computing

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

    Computing HPC High Performance Computing (HPC) Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of strategic...

  3. High Performance Computing in

    E-Print Network [OSTI]

    Stamatakis, Alexandros

    High Performance Computing in Bioinformatics Thomas Ludwig (t.ludwig@computer.org) Ruprecht PART I: High Performance Computing Thomas Ludwig PART II: HPC Computing in Bioinformatics Alexandros #12;© Thomas Ludwig, Alexandros Stamatakis, GCB'04 3 PART I High Performance Computing Introduction

  4. 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...

  5. Computational biology and high performance computing

    E-Print Network [OSTI]

    Shoichet, Brian

    2011-01-01

    Biology and High Performance Computing Manfred Zorn, TeresaBiology and High Performance Computing Presenters: Manfred99-Portland High performance computing has become one of the

  6. High Performance Computing School COMSC

    E-Print Network [OSTI]

    Martin, Ralph R.

    High Performance Computing School COMSC This module aims to provide the students with fundamental knowledge and understanding of techniques associated with High Performance Computing and its practical' skills in analysing and evaluating High Performance Computing and will be structured around

  7. High Performance Computing Center IT DIVISION -HIGH PERFORMANCE COMPUTING CENTER

    E-Print Network [OSTI]

    Rock, Chris

    . It will ensure that Texas Tech retains superior computing and visualization facilities. #12;High PerformanceHigh Performance Computing Center 9/27/2004 1 IT DIVISION - HIGH PERFORMANCE COMPUTING CENTER STRATEGIC PLAN MISSION STATEMENT The High Performance Computing Center (HPCC) promotes research and teaching

  8. High Performance Quantum Computing

    E-Print Network [OSTI]

    Simon J. Devitt; William J. Munro; Kae Nemoto

    2008-10-14

    The architecture scalability afforded by recent proposals of a large scale photonic based quantum computer, utilizing the theoretical developments of topological cluster states and the photonic chip, allows us to move on to a discussion of massively scaled Quantum Information Processing (QIP). In this letter we introduce the model for a secure and unsecured topological cluster mainframe. We consider the quantum analogue of High Performance Computing, where a dedicated server farm is utilized by many users to run algorithms and share quantum data. The scaling structure of photonics based topological cluster computing leads to an attractive future for server based QIP, where dedicated mainframes can be constructed and/or expanded to serve an increasingly hungry user base with the ideal resource for individual quantum information processing.

  9. High Performance Computing contributions to

    E-Print Network [OSTI]

    High Performance Computing contributions to DoD Mission Success 2002 #12;Approved for public/C nanotube in a field emitter configuration #12;HIGH PERFORMANCE COMPUTING contributions tocontributions ­ SECTION 1 INTRODUCTION 1 Introduction 3 Overview of the High Performance Computing Modernization Program 3

  10. Computational biology and high performance computing

    E-Print Network [OSTI]

    Shoichet, Brian

    2011-01-01

    Paper in Computational Biology The First Step Beyond theM . Glaeser, Mol. & Cell Biology, UCB and Life SciencesLBNL-44460 Computational Biology and High Performance

  11. High Performance Computing Meets Experimental Mathematics #

    E-Print Network [OSTI]

    Li, Xiaoye Sherry

    High Performance Computing Meets Experimental Mathematics # David H. Bailey Lawrence Berkeley large, high­performance computer systems. What's more, in these new appli­ cations the computer computation, implemented on high performance computer (HPC) systems. We present these results, in part

  12. High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D. Title: Professor -| Argonne Leadership. H LHPC High

  13. Army High Performance Computing Research Center

    E-Print Network [OSTI]

    Prinz, Friedrich B.

    Army High Performance Computing Research Center Applying advanced computational science research challenges http://me.stanford.edu/research/centers/ahpcrc #12;Army High Performance Computing challenges http://me.stanford.edu/research/centers/ahpcrc #12;Army High Performance Computing Research

  14. Purchase of High Performance Computing (HPC) Central Compute Resources

    E-Print Network [OSTI]

    Shull, Kenneth R.

    Purchase of High Performance Computing (HPC) Central Compute Resources by Northwestern Researchers summarizes High Performance Computing (HPC) compute resources that faculty engaged in research may purchase of code on the Quest high performance computing system. The installation cycles for new

  15. High performance computing Igal G. Rasin

    E-Print Network [OSTI]

    Adler, Joan

    High performance computing Igal G. Rasin Department of Chemical Engineering, Technion Israel with different parallelization techniques and tools used in high performance computing (HPC). The tutorial

  16. HIGH PERFORMANCE COMPUTING TODAY Jack Dongarra

    E-Print Network [OSTI]

    Dongarra, Jack

    1 HIGH PERFORMANCE COMPUTING TODAY Jack Dongarra Computer Science Department, University detailed and well-founded analysis of the state of high performance computing. This paper summarizes some of systems available for performing grid based computing. Keywords High performance computing, Parallel

  17. Tutorial: High Performance Computing Igal G. Rasin

    E-Print Network [OSTI]

    Adler, Joan

    Tutorial: High Performance Computing Igal G. Rasin Department of Chemical Engineering Israel Computing 27 Nisan 5769 (21.04.2009) 1 / 18 #12;Motivation What is High Performance Computing? What for serial Computing? Igal G. Rasin (Technion) Tutorial: High Performance Computing 27 Nisan 5769 (21

  18. College of Engineering High Performance Computing Cluster

    E-Print Network [OSTI]

    Demirel, Melik C.

    College of Engineering High Performance Computing Cluster Policy and Procedures COE-HPC-01 and registered as requiring high performance computing; the course identification/registrations process the College High Performance Computing system will need register for system access by visiting http

  19. Presentation: High Performance Computing Applications | Department...

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

    A briefing to the Secretary's Energy Advisory Board on High Performance Computing Applications delivered by Frederick H. Streitz, Lawrence Livermore National Laboratory. High...

  20. 423A HIGH-PERFORMANCE COMPUTING/NUMERICAL The International Journal of High Performance Computing Applications,

    E-Print Network [OSTI]

    Higham, Nicholas J.

    423A HIGH-PERFORMANCE COMPUTING/NUMERICAL The International Journal of High Performance Computing and barriers in the development of high-performance computing (HPC) algorithms and software. The activity has computing, numerical analy- sis, roadmap, applications and algorithms, software 1 The High-performance

  1. 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 ...

  2. 64 _____________________________________Math & Computational Sciences Division High Performance Computing and Visualization

    E-Print Network [OSTI]

    Perkins, Richard A.

    64 _____________________________________Math & Computational Sciences Division High Performance Computing and Visualization Research and Development in Visual Analysis Judith Devaney Terrence Griffin John

  3. 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,...

  4. High performance computing: Clusters, constellations, MPPs, and future directions

    E-Print Network [OSTI]

    Dongarra, Jack; Sterling, Thomas; Simon, Horst; Strohmaier, Erich

    2003-01-01

    and Jim Gray, “High Performance Computing: Crays, Clusters,The Marketplace of High-Performance Computing”, ParallelHigh Performance Computing Clusters, Constellations, MPPs,

  5. Middleware in Modern High Performance Computing System Architectures

    E-Print Network [OSTI]

    Engelmann, Christian

    Middleware in Modern High Performance Computing System Architectures Christian Engelmann, Hong Ong trend in modern high performance computing (HPC) system architectures employs "lean" compute nodes) continue to reside on compute nodes. Key words: High Performance Computing, Middleware, Lean Compute Node

  6. High performance computing and numerical Volker Springel

    E-Print Network [OSTI]

    Masci, Frank

    High performance computing and numerical modelling Volker Springel Lecture Notes 43rd Saas-mail: volker.springel@h-its.org 1 arXiv:1412.5187v1[astro-ph.GA]16Dec2014 #12;#12;Contents High performance computing and numerical modelling . . . . . . . . . . . . . . . 1 Volker Springel 1 Preamble

  7. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16

    GeoComputational Intelligence and High-performance Geospatial Computing Qingfeng (Gene) Guan, Ph.D Center for Advanced Land Management Information Technologies School of Natural Resources University of Nebraska - Lincoln GIS Day @ University... of Kansas Nov. 16th, 2011 Contents 1. Computational Science and GeoComputation 2. GeoComputational Intelligence - ANN-based Urban-CA model 3. High-performance Geospatial Computing - Parallel Geostatistical Areal Interpolation - pRPL and pSLEUTH 4. Conclusion...

  8. High Performance Computing in Accelerator Science: Past Successes. Future Challenges

    E-Print Network [OSTI]

    Ryne, R.

    2013-01-01

    High Performance Computing in Accelerator Science: PastAC02- 05CH11231. High Performance Computing in Accelerator

  9. 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.

  10. 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.

  11. High Performance Computing Data Center Metering Protocol | Department...

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

    High Performance Computing Data Center Metering Protocol High Performance Computing Data Center Metering Protocol Guide details the methods for measurement in High Performance...

  12. Sandia Energy - High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen GenerationTechnologiesEnergyGeoscience HomeGridHigh

  13. 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.

  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. Design, Implementation and Performance of Exponential Integrators for High Performance Computing Applications

    E-Print Network [OSTI]

    Loffeld, John

    2013-01-01

    interest in high performance computing would help popularizeIntegrators for High Performance Computing Applications Aapplied mathematics, high performance computing and computer

  16. 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.

  17. Design, Implementation and Performance of Exponential Integrators for High Performance Computing Applications

    E-Print Network [OSTI]

    Loffeld, John

    2013-01-01

    mathematics, high performance computing and computer science. Research interests: Scientific Computing, Numerical

  18. High Performance Computing Managing world-class supercomputing centers

    E-Print Network [OSTI]

    - 1 - High Performance Computing Managing world-class supercomputing centers Read caption Leader The High Performance Computing (HPC) Division supports the Laboratory mission by managing world high performance computing, storage, and emerging data-intensive information science production systems

  19. Managing Stakeholder Requirements in High Performance Computing Procurement

    E-Print Network [OSTI]

    Sommerville, Ian

    Managing Stakeholder Requirements in High Performance Computing Procurement John Rooksby1 , Mark Department of Management, Lancaster University High Performance Computing (HPC) facilities are provided strategy can rigorously meet the demands of the potential users. 1 Introduction High Performance Computing

  20. NERSC 2011: High Performance Computing Facility Operational Assessment for the National Energy Research Scientific Computing Center

    E-Print Network [OSTI]

    Antypas, Katie

    2013-01-01

    NERSC 2011 High Performance Computing Facility Operationalby providing high-performance computing, information, data,s deep knowledge of high performance computing to overcome

  1. John Shalf Gives Talk at San Francisco High Performance Computing...

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

    at San Francisco High Performance Computing Meetup John Shalf Gives Talk at San Francisco High Performance Computing Meetup September 17, 2014 XBD200503 00083 John Shalf In his...

  2. Energy Efficiency Opportunities in Federal High Performance Computing...

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

    Energy Efficiency Opportunities in Federal High Performance Computing Data Centers Energy Efficiency Opportunities in Federal High Performance Computing Data Centers Case study...

  3. Evaluation of distributed ANSYS for high performance computing...

    Office of Scientific and Technical Information (OSTI)

    Evaluation of distributed ANSYS for high performance computing of MEMS. Citation Details In-Document Search Title: Evaluation of distributed ANSYS for high performance computing of...

  4. High-performance computing for airborne applications

    SciTech Connect (OSTI)

    Quinn, Heather M; Manuzzato, Andrea; Fairbanks, Tom; Dallmann, Nicholas; Desgeorges, Rose

    2010-06-28

    Recently, there has been attempts to move common satellite tasks to unmanned aerial vehicles (UAVs). UAVs are significantly cheaper to buy than satellites and easier to deploy on an as-needed basis. The more benign radiation environment also allows for an aggressive adoption of state-of-the-art commercial computational devices, which increases the amount of data that can be collected. There are a number of commercial computing devices currently available that are well-suited to high-performance computing. These devices range from specialized computational devices, such as field-programmable gate arrays (FPGAs) and digital signal processors (DSPs), to traditional computing platforms, such as microprocessors. Even though the radiation environment is relatively benign, these devices could be susceptible to single-event effects. In this paper, we will present radiation data for high-performance computing devices in a accelerated neutron environment. These devices include a multi-core digital signal processor, two field-programmable gate arrays, and a microprocessor. From these results, we found that all of these devices are suitable for many airplane environments without reliability problems.

  5. High performance computing and numerical modelling

    E-Print Network [OSTI]

    ,

    2014-01-01

    Numerical methods play an ever more important role in astrophysics. This is especially true in theoretical works, but of course, even in purely observational projects, data analysis without massive use of computational methods has become unthinkable. The key utility of computer simulations comes from their ability to solve complex systems of equations that are either intractable with analytic techniques or only amenable to highly approximative treatments. Simulations are best viewed as a powerful complement to analytic reasoning, and as the method of choice to model systems that feature enormous physical complexity such as star formation in evolving galaxies, the topic of this 43rd Saas Fee Advanced Course. The organizers asked me to lecture about high performance computing and numerical modelling in this winter school, and to specifically cover the basics of numerically treating gravity and hydrodynamics in the context of galaxy evolution. This is still a vast field, and I necessarily had to select a subset ...

  6. High Performance Computing Data Center Metering Protocol

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High Performance Computing Data

  7. 86 IEEE Concurrency Because high-performance cluster comput-

    E-Print Network [OSTI]

    Melbourne, University of

    many topics makes High Performance Cluster Computing: Architectures and Systems unique, and the bibli

  8. High Performance Computing and Storage Requirements for Biological and Environmental Research Target 2017

    E-Print Network [OSTI]

    Gerber, Richard

    2014-01-01

    Journal   of   High   Performance  Computing  Applications  Target  2017   High  Performance  Computing  and  Storage  to   characterize   High   Performance   Computing   (HPC)  

  9. C++ programming techniques for High Performance Computing on systems with

    E-Print Network [OSTI]

    Fiebig, Peter

    C++ programming techniques for High Performance Computing on systems with non-uniform memory access (including NUMA) without sacrificing performance. ccNUMA In High Performance Computing (HPC), shared- memory

  10. CENTER FOR HIGH PERFORMANCE COMPUTING Overview of CHPC

    E-Print Network [OSTI]

    Alvarado, Alejandro Sánchez

    CENTER FOR HIGH PERFORMANCE COMPUTING Overview of CHPC Julia Harrison, Associate Director Center for High Performance Computing julia.harrison@utah.edu Spring 2009 #12;CENTER FOR HIGH PERFORMANCE://www.chpc.utah.edu/docs/services.html 2/26/09 http://www.chpc.utah.edu Slide 3 #12;CENTER FOR HIGH PERFORMANCE COMPUTING Arches 2

  11. A Comparative Study of High Performance Computing on the Cloud

    E-Print Network [OSTI]

    Yuan, Xin

    A Comparative Study of High Performance Computing on the Cloud Lots of authors, including Xin Yuan hardware (which users "connect" to) stays the same. #12;High Performance Computing Clusters Computational parallelizable are usually run on High Performance Computing (HPC) clusters. HPC clusters are dedicated networks

  12. High Performance Computing with a Conservative Spectral Boltzmann Solver

    E-Print Network [OSTI]

    High Performance Computing with a Conservative Spectral Boltzmann Solver Jeffrey R. Haack and Irene the structure of the collisional formulation for high performance computing environments. The locality in space on high performance computing resources. We also use the improved computational power of this method

  13. Java for High Performance Computing Java HPC Codes

    E-Print Network [OSTI]

    Fraguela, Basilio B.

    Motivation Java for High Performance Computing Java HPC Codes Performance Evaluation Conclusions Java for High Performance Computing: Myth or Reality? Guillermo López Taboada Grupo de Arquitectura de López Taboada Java for HPC: Myth or Reality? #12;Motivation Java for High Performance Computing Java HPC

  14. Geocomputation's future at the extremes: high performance computing and nanoclients

    E-Print Network [OSTI]

    Clarke, Keith

    Geocomputation's future at the extremes: high performance computing and nanoclients K.C. Clarke; High performance computing; Tractability; Geocom- putation E-mail address: kclarke@geog.ucsb.edu (K

  15. M Sathia Narayanan MAE 609 High Performance Computing

    E-Print Network [OSTI]

    Krovi, Venkat

    M Sathia Narayanan 3401 2454 MAE 609 High Performance Computing M. Jones (instructor) Project . . . 27 Page 1 of 28 #12;M Sathia Narayanan 3401 2454 MAE 609 High Performance Computing M. Jones

  16. HIGH PERFORMANCE COMPUTING: PARADIGM AND INFRASTRUCTURE

    E-Print Network [OSTI]

    Qin, Xiao

    Science, New Mexico Institute of Mining and Technology, 801 Leroy Place, Socorro, New Mexico 87801 of Computer Science New Mexico Institute of Mining and Technology 801 Leroy Place, Socorro, New Mexico 87801 computational and network resources in a wide area network/Internet environment. However, the performance

  17. Evaluating Parameter Sweep Workflows in High Performance Computing*

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Evaluating Parameter Sweep Workflows in High Performance Computing* Fernando Chirigati1,# , Vítor a large amount of tasks that are submitted to High Performance Computing (HPC) environments. Different, Parameter Sweep, High Performance Computing (HPC) 1. INTRODUCTION1 # Many scientific experiments are based

  18. Universal High Performance Computing ---We Have Just Begun

    E-Print Network [OSTI]

    California at Berkeley, University of

    Universal High Performance Computing --- We Have Just Begun Jerome A. Feldman April, 1994, and deployment. At present, high performance computing is entirely different. Although there have been some commercial factor. A prerequisite for Universal High Performance Computing (UHPC) is con­ vergence

  19. Advanced Environments and Tools for High Performance Computing

    E-Print Network [OSTI]

    Walker, David W.

    Advanced Environments and Tools for High Performance Computing Problem-Solving Environments Environments and Tools for High Performance Computing. The conference was chaired by Professor D. W. Walker and managing distributed high performance comput- ing resources is important for a PSE to meet the requirements

  20. Software Reuse in High Performance Computing Shirley Browne

    E-Print Network [OSTI]

    Dongarra, Jack

    Software Reuse in High Performance Computing Shirley Browne University of Tennessee 107 Ayres Hall high performance computing architectures in the form of distributed memory mul­ tiprocessors have and cost of programming applications to run on these machines. Economical use of high performance computing

  1. Studying Code Development for High Performance Computing: The HPCS Program

    E-Print Network [OSTI]

    Zelkowitz, Marvin V.

    Studying Code Development for High Performance Computing: The HPCS Program Jeff Carver1 , Sima at measuring the development time for programs written for high performance computers (HPC). Our goal. Introduction The development of High-Performance Computing (HPC) programs (codes) is crucial to progress

  2. 1High Performance Computing at Liberal Arts Colleges Workshop 3

    E-Print Network [OSTI]

    Barr, Valerie

    1High Performance Computing at Liberal Arts Colleges ­ Workshop 3 11October 27, 2009 Experiences (?) #12;2High Performance Computing at Liberal Arts Colleges ­ Workshop 3 22 Acknowledgements Thanks to. October 27, 2009 #12;3High Performance Computing at Liberal Arts Colleges ­ Workshop 3 33October 27, 2009

  3. Software Reuse in High Performance Computing Shirley Browne

    E-Print Network [OSTI]

    Dongarra, Jack

    Software Reuse in High Performance Computing Shirley Browne University of Tennessee 107 Ayres Hall high performance computing architectures in the form of distributed memorymul- tiprocessors have become of programming applications to run on these machines. Economical use of high performance computing and subsequent

  4. 18 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING (HIPC 2011)

    E-Print Network [OSTI]

    Kuzmanovic, Aleksandar

    TH 18 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING (HIPC 2011) December 18-21, 2011 | Bengaluru (Bangalore), INDIA | www.hipc.org The 18th International Conference on High Performance Computing, in the area of high performance computing. PROGRAM HIGHLIGHTS The conference will also host the US

  5. Applying High Performance Computing to Analyzing by Probabilistic Model Checking

    E-Print Network [OSTI]

    Schneider, Carsten

    Applying High Performance Computing to Analyzing by Probabilistic Model Checking Mobile Cellular on the use of high performance computing in order to analyze with the proba- bilistic model checker PRISM. The Figure Generation Script 22 2 #12;1. Introduction We report in this paper on the use of high performance

  6. High Performance Computing (HPC) Central Storage Resources for Research Support

    E-Print Network [OSTI]

    Shahriar, Selim

    High Performance Computing (HPC) Central Storage Resources for Research Support Effective for FY. They also describe new applications and technologies related to research in high performance computing2011 Revised: March 7, 2011 Page 1 Information Technology Purpose This memo summarizes High Performance

  7. High-Performance Computing at Los

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energy neutron Computed

  8. Benchmarking: More Aspects of High Performance Computing

    SciTech Connect (OSTI)

    Rahul Ravindrudu

    2004-12-19

    The original HPL algorithm makes the assumption that all data can be fit entirely in the main memory. This assumption will obviously give a good performance due to the absence of disk I/O. However, not all applications can fit their entire data in memory. These applications which require a fair amount of I/O to move data to and from main memory and secondary storage, are more indicative of usage of an Massively Parallel Processor (MPP) System. Given this scenario a well designed I/O architecture will play a significant part in the performance of the MPP System on regular jobs. And, this is not represented in the current Benchmark. The modified HPL algorithm is hoped to be a step in filling this void. The most important factor in the performance of out-of-core algorithms is the actual I/O operations performed and their efficiency in transferring data to/from main memory and disk, Various methods were introduced in the report for performing I/O operations. The I/O method to use depends on the design of the out-of-core algorithm. Conversely, the performance of the out-of-core algorithm is affected by the choice of I/O operations. This implies, good performance is achieved when I/O efficiency is closely tied with the out-of-core algorithms. The out-of-core algorithms must be designed from the start. It is easily observed in the timings for various plots, that I/O plays a significant part in the overall execution time. This leads to an important conclusion, retro-fitting an existing code may not be the best choice. The right-looking algorithm selected for the LU factorization is a recursive algorithm and performs well when the entire dataset is in memory. At each stage of the loop the entire trailing submatrix is read into memory panel by panel. This gives a polynomial number of I/O reads and writes. If the left-looking algorithm was selected for the main loop, the number of I/O operations involved will be linear on the number of columns. This is due to the data access pattern for the left-looking factorization. The right-looking algorithm performs better for in-core data, but the left-looking will perform better for out-of-core data due to the reduced I/O operations. Hence the conclusion that out-of-core algorithms will perform better when designed from start. The out-of-core and thread based computation do not interact in this case, since I/O is not done by the threads. The performance of the thread based computation does not depend on I/O as the algorithms are in the BLAS algorithms which assumes all the data to be in memory. This is the reason the out-of-core results and OpenMP threads results were presented separately and no attempt to combine them was made. In general, the modified HPL performs better with larger block sizes, due to less I/O involved for out-of-core part and better cache utilization for the thread based computation.

  9. Energy Efficiency Opportunities in Federal High Performance Computing...

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

    Case study describes an outline of energy efficiency opportunities in federal high-performance computing data centers. dchpcc.pdf More Documents & Publications Case Study:...

  10. High Performance Computing Environment P.G.Senapathy Centre for Computing Resources,

    E-Print Network [OSTI]

    Krishnapura, Nagendra

    High Performance Computing Environment P.G.Senapathy Centre for Computing Resources, Computer Centre, IIT Madras. User id Requisition Form for High Performance Computing on Virgo Super Cluster.iitm.ac.in for information on High Performance Computing Environment. Email your suggestions/problems to hpce@iitm.ac.in. 11

  11. Presentation: High Performance Computing Applications | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrderNATIONAL CHAIRS MEETINGof2015Energy High Performance

  12. On the user-scheduler relationship in high-performance computing

    E-Print Network [OSTI]

    Lee, Cynthia Bailey

    2009-01-01

    1.1. High-Performance Computing . . . . . . . . 1.2. ProblemJournal of High Performance Computing Applications, 19(4):IEEE Conference on High Performance Computing, Networking,

  13. HPGMG 1.0: A Benchmark for Ranking High Performance Computing Systems

    E-Print Network [OSTI]

    Adams, Mark

    2014-01-01

    for Ranking High Performance Computing Systems Mark F. Adamsmetric for ranking high performance computing systems. HPLmetric for ranking high performance computing systems. When

  14. Compute and Storage Clouds Using Wide Area High Performance Networks

    E-Print Network [OSTI]

    Grossman, Robert

    Compute and Storage Clouds Using Wide Area High Performance Networks Robert L. Grossman Yunhong Gu. The infrastructure consists of a storage cloud called Sector and a compute cloud called Sphere. We describe two (record- based, column-based or object-based services); and a compute cloud provides computational

  15. Leveraging High Performance Computation for Statistical Wind Prediction

    E-Print Network [OSTI]

    Leveraging High Performance Computation for Statistical Wind Prediction Cy P Chan James R Stalker Alan Edelman Stephen R Connors WINDPOWER 2010 American Wind Energy Association Dallas, Texas, USA May 23­26, 2010 #12;Leveraging High Performance Computation for Statistical Wind Prediction Cy P Chan

  16. MSIM 795/895:MSIM 795/895: HIGH PERFORMANCE COMPUTING AND SIMULATIONHIGH PERFORMANCE COMPUTING AND SIMULATION

    E-Print Network [OSTI]

    MSIM 795/895:MSIM 795/895: HIGH PERFORMANCE COMPUTING AND SIMULATIONHIGH PERFORMANCE COMPUTING://eng.odu.edu/msve COURSE DESCRIPTION Introduction to modern high performance computing platforms including top their research area. Project presentations are required. COURSE TOPICS 1. Overview of high-performance computing

  17. 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.

  18. MSIM 715/815:MSIM 715/815: HIGH PERFORMANCE COMPUTING AND SIMULATIONHIGH PERFORMANCE COMPUTING AND SIMULATION

    E-Print Network [OSTI]

    MSIM 715/815:MSIM 715/815: HIGH PERFORMANCE COMPUTING AND SIMULATIONHIGH PERFORMANCE COMPUTING://www.odu.edu/msve COURSE DESCRIPTION Introduction to modern high performance comput- ing platforms including top-data for their research problems. Project presentations and reports are required. COURSE TOPICS 1. Overview of high-performance

  19. HIGH PERFORMANCE COMPUTING TODAY Jack Dongarra

    E-Print Network [OSTI]

    Dongarra, Jack

    Mannheim, Germany Horst Simon National Energy Research Supercomputing Center Mail Stop 50B-4230, Lawrence of scientific computing has seen a rapid change of vendors, architectures, technologies and the usage of systems and the usage of ``off the shelf'' microprocessor instead of custom designed processors for MPPs

  20. High-performance computing of electron microstructures

    SciTech Connect (OSTI)

    Bishop, A. [Los Alamos National Lab., NM (United States); Birnir, B.; Galdrikian, B.; Wang, L. [Univ. of California, Santa Barbara, CA (United States)

    1998-12-01

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The project was a collaboration between the Quantum Institute at the University of California-Santa Barbara (UCSB) and the Condensed Matter and Statistical Physics Group at LANL. The project objective, which was successfully accomplished, was to model quantum properties of semiconductor nanostructures that were fabricated and measured at UCSB using dedicated molecular-beam epitaxy and free-electron laser facilities. A nonperturbative dynamic quantum theory was developed for systems driven by time-periodic external fields. For such systems, dynamic energy spectra of electrons and photons and their corresponding wave functions were obtained. The results are in good agreement with experimental investigations. The algorithms developed are ideally suited for massively parallel computing facilities and provide a fundamental advance in the ability to predict quantum-well properties and guide their engineering. This is a definite step forward in the development of nonlinear optical devices.

  1. A Collaborative High Performance and Grid Computing Portal

    E-Print Network [OSTI]

    Allen, Gabrielle

    #12;A Collaborative High Performance and Grid Computing Portal Master of Science, Electrical to researchers and scientists. A Portal-based solution facilitates a simple web-based graphical user interface computing to carry out their research activities. A collaborative portal brings together various resources

  2. Motor: A Virtual Machine for High Performance Computing Wojtek Goscinski and David Abramson

    E-Print Network [OSTI]

    Abramson, David

    Motor: A Virtual Machine for High Performance Computing Wojtek Goscinski and David Abramson {wojtek environments do not provide the necessary high performance computing abstractions required by e- Scientists, whilst retaining strong message passing performance. 1. Introduction High performance computing (HPC

  3. June 8, 2007 Advanced Fault Tolerance Solutions for High Performance Computing

    E-Print Network [OSTI]

    Engelmann, Christian

    June 8, 2007 Advanced Fault Tolerance Solutions for High Performance Computing Workshop on Trends Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Laboratory, Oak for High Performance Computing Workshop on Trends, Technologies and Collaborative Opportunities in High

  4. May 28, 2007 Middleware in Modern High Performance Computing System Architectures 1/20 Middleware in Modern High Performance

    E-Print Network [OSTI]

    Engelmann, Christian

    May 28, 2007 Middleware in Modern High Performance Computing System Architectures 1/20 Middleware in Modern High Performance Computing System Architectures Christian Engelmann1,2, Hong Ong1, Stephen L 28, 2007 Middleware in Modern High Performance Computing System Architectures 2/20 Talk Outline

  5. High-Performance Computing for Advanced Smart Grid Applications

    SciTech Connect (OSTI)

    Huang, Zhenyu; Chen, Yousu

    2012-07-06

    The power grid is becoming far more complex as a result of the grid evolution meeting an information revolution. Due to the penetration of smart grid technologies, the grid is evolving as an unprecedented speed and the information infrastructure is fundamentally improved with a large number of smart meters and sensors that produce several orders of magnitude larger amounts of data. How to pull data in, perform analysis, and put information out in a real-time manner is a fundamental challenge in smart grid operation and planning. The future power grid requires high performance computing to be one of the foundational technologies in developing the algorithms and tools for the significantly increased complexity. New techniques and computational capabilities are required to meet the demands for higher reliability and better asset utilization, including advanced algorithms and computing hardware for large-scale modeling, simulation, and analysis. This chapter summarizes the computational challenges in smart grid and the need for high performance computing, and present examples of how high performance computing might be used for future smart grid operation and planning.

  6. High performance computing and communications: FY 1997 implementation plan

    SciTech Connect (OSTI)

    NONE

    1996-12-01

    The High Performance Computing and Communications (HPCC) Program was formally authorized by passage, with bipartisan support, of the High-Performance Computing Act of 1991, signed on December 9, 1991. The original Program, in which eight Federal agencies participated, has now grown to twelve agencies. This Plan provides a detailed description of the agencies` FY 1996 HPCC accomplishments and FY 1997 HPCC plans. Section 3 of this Plan provides an overview of the HPCC Program. Section 4 contains more detailed definitions of the Program Component Areas, with an emphasis on the overall directions and milestones planned for each PCA. Appendix A provides a detailed look at HPCC Program activities within each agency.

  7. March 14, 2007 Towards High Availability for High-Performance Computing System Services

    E-Print Network [OSTI]

    Engelmann, Christian

    March 14, 2007 Towards High Availability for High-Performance Computing System Services: Accomplishments and Limitations 1/42 Towards High Availability for High- Performance Computing System Services The University of Reading, Reading, UK #12;March 14, 2007 Towards High Availability for High

  8. June 4, 2007 Advanced Fault Tolerance Solutions for High Performance Computing

    E-Print Network [OSTI]

    Engelmann, Christian

    June 4, 2007 Advanced Fault Tolerance Solutions for High Performance Computing Workshop on Trends Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Laboratory, Oak Solutions for High Performance Computing Workshop on Trends, Technologies and Collaborative Opportunities

  9. Editorial for Advanced Theory and Practice for High Performance Computing and Communications Geoffrey Fox

    E-Print Network [OSTI]

    Editorial for Advanced Theory and Practice for High Performance Computing and Communications Theory and Practice for High Performance Computing and Communications. I would like to thank Omer Rana International Conference on High Performance Computing and Communications (HPCC-09) http

  10. Symmetric Active/Active High Availability for High-Performance Computing System Services

    E-Print Network [OSTI]

    He, Xubin "Ben"

    Symmetric Active/Active High Availability for High-Performance Computing System Services Christian to pave the way for high avail- ability in high-performance computing (HPC) by focusing on efficient symmetric active/active high availability for multiple redundant head and service nodes running in virtual

  11. High Performance Computing linear algorithms for two-phase flow in porous media

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    High Performance Computing linear algorithms for two-phase flow in porous media Robert Eymard High Performance Computing techniques. This implies to handle the difficult problem of solving

  12. Finite-State Verification for High Performance Computing George S. Avrunin

    E-Print Network [OSTI]

    Avrunin, George S.

    Finite-State Verification for High Performance Computing George S. Avrunin Department (top500.org) reveals that high performance computing has become practically synonymous with parallel

  13. GOCE DATA ANALYSIS: REALIZATION OF THE INVARIANTS APPROACH IN A HIGH PERFORMANCE COMPUTING ENVIRONMENT

    E-Print Network [OSTI]

    Stuttgart, Universität

    GOCE DATA ANALYSIS: REALIZATION OF THE INVARIANTS APPROACH IN A HIGH PERFORMANCE COMPUTING) implementation of the algorithms on high performance computing platforms. #12;2. INVARIANTS REPRESENTATION

  14. October 17, 2006 Towards High Availability for High-Performance Computing System Services

    E-Print Network [OSTI]

    Engelmann, Christian

    October 17, 2006 Towards High Availability for High-Performance Computing System Services: Accomplishments and Limitations 1/29 Towards High Availability for High- Performance Computing System Services Louisiana Tech University, Ruston, USA 4 Tennessee Tech University, Cookeville, USA #12;October 17, 2006

  15. Money for Research, Not for Energy Bills: Finding Energy and Cost Savings in High Performance Computer Facility Designs

    E-Print Network [OSTI]

    Sartor, Dale

    2011-01-01

    Journal of High Performance Computing Applications 22 (2).is both a model of high-performance computing and a showcaseuniversity needs high-performance computing facilities that

  16. A directory service for configuring high-performance distributed computations

    SciTech Connect (OSTI)

    Fitzgerald, S.; Kesselman, C.; Foster, I.

    1997-08-01

    High-performance execution in distributed computing environments often requires careful selection and configuration not only of computers, networks, and other resources but also of the protocols and algorithms used by applications. Selection and configuration in turn require access to accurate, up-to-date information on the structure and state of available resources. Unfortunately, no standard mechanism exists for organizing or accessing such information. Consequently, different tools and applications adopt ad hoc mechanisms, or they compromise their portability and performance by using default configurations. We propose a Metacomputing Directory Service that provides efficient and scalable access to diverse, dynamic, and distributed information about resource structure and state. We define an extensible data model to represent required information and present a scalable, high-performance, distributed implementation. The data representation and application programming interface are adopted from the Lightweight Directory Access Protocol; the data model and implementation are new. We use the Globus distributed computing toolkit to illustrate how this directory service enables the development of more flexible and efficient distributed computing services and applications.

  17. High Performance Computing Update, June 2009 1. A meeting was held with users and potential users of high performance computing systems in April and this

    E-Print Network [OSTI]

    Sussex, University of

    High Performance Computing Update, June 2009 1. A meeting was held with users and potential users of high performance computing systems in April and this considered a proposal from the Director and application "advice" and a core system to host and manage high performance computing nodes (or clusters

  18. The design of linear algebra libraries for high performance computers

    SciTech Connect (OSTI)

    Dongarra, J.J. [Tennessee Univ., Knoxville, TN (United States). Dept. of Computer Science; [Oak Ridge National Lab., TN (United States); Walker, D.W. [Oak Ridge National Lab., TN (United States)

    1993-08-01

    This paper discusses the design of linear algebra libraries for high performance computers. Particular emphasis is placed on the development of scalable algorithms for MIMD distributed memory concurrent computers. A brief description of the EISPACK, LINPACK, and LAPACK libraries is given, followed by an outline of ScaLAPACK, which is a distributed memory version of LAPACK currently under development. The importance of block-partitioned algorithms in reducing the frequency of data movement between different levels of hierarchical memory is stressed. The use of such algorithms helps reduce the message startup costs on distributed memory concurrent computers. Other key ideas in our approach are the use of distributed versions of the Level 3 Basic Linear Algebra Subprograms (BLAS) as computational building blocks, and the use of Basic Linear Algebra Communication Subprograms (BLACS) as communication building blocks. Together the distributed BLAS and the BLACS can be used to construct higher-level algorithms, and hide many details of the parallelism from the application developer. The block-cyclic data distribution is described, and adopted as a good way of distributing block-partitioned matrices. Block-partitioned versions of the Cholesky and LU factorizations are presented, and optimization issues associated with the implementation of the LU factorization algorithm on distributed memory concurrent computers are discussed, together with its performance on the Intel Delta system. Finally, approaches to the design of library interfaces are reviewed.

  19. Transforming Power Grid Operations via High Performance Computing

    SciTech Connect (OSTI)

    Huang, Zhenyu; Nieplocha, Jarek

    2008-07-31

    Past power grid blackout events revealed the adequacy of grid operations in responding to adverse situations partially due to low computational efficiency in grid operation functions. High performance computing (HPC) provides a promising solution to this problem. HPC applications in power grid computation also become necessary to take advantage of parallel computing platforms as the computer industry is undergoing a significant change from the traditional single-processor environment to an era for multi-processor computing platforms. HPC applications to power grid operations are multi-fold. HPC can improve today’s grid operation functions like state estimation and contingency analysis and reduce the solution time from minutes to seconds, comparable to SCADA measurement cycles. HPC also enables the integration of dynamic analysis into real-time grid operations. Dynamic state estimation, look-ahead dynamic simulation and real-time dynamic contingency analysis can be implemented and would be three key dynamic functions in future control centers. HPC applications call for better decision support tools, which also need HPC support to handle large volume of data and large number of cases. Given the complexity of the grid and the sheer number of possible configurations, HPC is considered to be an indispensible element in the next generation control centers.

  20. ExaScale High Performance Computing in the Square Kilometer Array

    E-Print Network [OSTI]

    van Nieuwpoort, Rob V.

    ExaScale High Performance Computing in the Square Kilometer Array P. Chris Broekema, broekema project requires active and intensive involve- ment from both the high performance computing researchScale Computing, Square Kilometer Array, High Performance Computing, Streaming Computing 1. INTRODUCTION

  1. Participation by Columbia Researchers in Shared Central High Performance Computing (HPC) Resources

    E-Print Network [OSTI]

    Champagne, Frances A.

    ) to create a shared central high performance computing (HPC) cluster, ColumbiaParticipation by Columbia Researchers in Shared Central High Performance Computing (HPC) Resources Shared Research Computing Policy Advisory Committee (SRCPAC) Chair, Professor

  2. High-performance combinatorial algorithms

    E-Print Network [OSTI]

    Pinar, Ali

    2003-01-01

    mathematics, and high performance computing. The numericalalgorithms on high performance computing platforms.algorithms on high performance computing platforms, which

  3. High Performance Computing - Power Application Programming Interface Specification.

    SciTech Connect (OSTI)

    Laros, James H.,; Kelly, Suzanne M.; Pedretti, Kevin; Grant, Ryan; Olivier, Stephen Lecler; Levenhagen, Michael J.; DeBonis, David

    2014-08-01

    Measuring and controlling the power and energy consumption of high performance computing systems by various components in the software stack is an active research area [13, 3, 5, 10, 4, 21, 19, 16, 7, 17, 20, 18, 11, 1, 6, 14, 12]. Implementations in lower level software layers are beginning to emerge in some production systems, which is very welcome. To be most effective, a portable interface to measurement and control features would significantly facilitate participation by all levels of the software stack. We present a proposal for a standard power Application Programming Interface (API) that endeavors to cover the entire software space, from generic hardware interfaces to the input from the computer facility manager.

  4. Advances in HighPerformance Computing: Multigrid Methods for Partial Differential

    E-Print Network [OSTI]

    Wieners, Christian

    Advances in High­Performance Computing: Multigrid Methods for Partial Differential Equations feasable, advanced numerical methods in conjunction with High Performance Computing have to be applied and High Performance Computing on massively parallel MIMD machines is indispensable to reduce the computing

  5. High Performance Computing in the Life/Medical SciencesVirginiaBioinformaticsInstitute

    E-Print Network [OSTI]

    Virginia Tech

    High Performance Computing in the Life/Medical SciencesVirginiaBioinformaticsInstitute 2 week in high performance computing and data intensive computing 4. basic knowledge of relational databases (i Program Dates: July 17 - 25 Application deadline is March 30, 2012 High Performance Computing in the Life

  6. High Performance Computing (HPC) Survey 1. Choose the category that best describes you

    E-Print Network [OSTI]

    Martin, Stephen John

    High Performance Computing (HPC) Survey 1. Choose the category that best describes you Response on your (home or work) computer to access the High Performance Computing Facilities (HPC) - (tick all High Performance Computing (HPC) Facilities? Response Percent Response Count Daily 26.7% 23 Weekly 27

  7. Event Services for High Performance Computing Greg Eisenhauer Fabian E. Bustamante Karsten Schwan

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Event Services for High Performance Computing Greg Eisenhauer Fabi´an E. Bustamante Karsten Schwan,fabianb,schwang@cc.gatech.edu Abstract The Internet and the Grid are changing the face of high performance computing. Rather than tightly computing has been a strong fo- cus of research in high performance computing. This has resulted

  8. Graph 500 Performance on a Distributed-Memory Cluster REU Site: Interdisciplinary Program in High Performance Computing

    E-Print Network [OSTI]

    Gobbert, Matthias K.

    traditional performance benchmarks for high- performance computers measure the speed of arithmetic operations benchmark is intended to rank high-performance computers based on speed of memory retrieval-memory cluster tara in the UMBC High Performance Computing Facility (www.umbc.edu/hpcf). The cluster tara has 82

  9. Java in the High Performance Computing Arena: Research, Practice and Experience

    E-Print Network [OSTI]

    Fraguela, Basilio B.

    Java in the High Performance Computing Arena: Research, Practice and Experience Guillermo L interest in Java for High Performance Computing (HPC) is based on the appealing features of this language in HPC. Keywords: Java, High Performance Computing, Performance Evaluation, Multi-core Architectures

  10. Multicore Challenges and Benefits for High Performance Scientific Computing

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

    Nielsen, Ida M.B.; Janssen, Curtis L.

    2008-01-01

    Until recently, performance gains in processors were achieved largely by improvements in clock speeds and instruction level parallelism. Thus, applications could obtain performance increases with relatively minor changes by upgrading to the latest generation of computing hardware. Currently, however, processor performance improvements are realized by using multicore technology and hardware support for multiple threads within each core, and taking full advantage of this technology to improve the performance of applications requires exposure of extreme levels of software parallelism. We will here discuss the architecture of parallel computers constructed from many multicore chips as well as techniques for managing the complexitymore »of programming such computers, including the hybrid message-passing/multi-threading programming model. We will illustrate these ideas with a hybrid distributed memory matrix multiply and a quantum chemistry algorithm for energy computation using Mřller–Plesset perturbation theory.« less

  11. Multi-scale problems, high performance computing and hybrid numerical methods

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Multi-scale problems, high performance computing and hybrid numerical methods G. Balarac, G of High Performance Computing (HPC) is not anymore restricted to academia and scientific grand challenges

  12. Multi-scale problems, high performance computing and hybrid numerical methods

    E-Print Network [OSTI]

    Cottet, Georges-Henri

    Multi-scale problems, high performance computing and hybrid numerical methods G. Balarac, G of High Performance Computing G. Balarac LEGI, CNRS and Universit´e de Grenoble, BP 53, 38041 Grenoble

  13. A scalable silicon photonic chip-scale optical switch for high performance computing systems

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    A scalable silicon photonic chip-scale optical switch for high performance computing systems-scale optical switch for scalable interconnect network in high performance computing systems. The proposed

  14. Investigating the Mobility of Light Autonomous Tracked Vehicles Using a High Performance Computing

    E-Print Network [OSTI]

    Investigating the Mobility of Light Autonomous Tracked Vehicles Using a High Performance Computing limiting the scope and impact of high performance computing (HPC). This scenario is rapidly changing due

  15. Power/energy use cases for high performance computing.

    SciTech Connect (OSTI)

    Laros, James H.,; Kelly, Suzanne M; Hammond, Steven [National Renewable Energy Laboratory] [National Renewable Energy Laboratory; Elmore, Ryan; Munch, Kristin

    2013-12-01

    Power and Energy have been identified as a first order challenge for future extreme scale high performance computing (HPC) systems. In practice the breakthroughs will need to be provided by the hardware vendors. But to make the best use of the solutions in an HPC environment, it will likely require periodic tuning by facility operators and software components. This document describes the actions and interactions needed to maximize power resources. It strives to cover the entire operational space in which an HPC system occupies. The descriptions are presented as formal use cases, as documented in the Unified Modeling Language Specification [1]. The document is intended to provide a common understanding to the HPC community of the necessary management and control capabilities. Assuming a common understanding can be achieved, the next step will be to develop a set of Application Programing Interfaces (APIs) to which hardware vendors and software developers could utilize to steer power consumption.

  16. Measuring Productivity on High Performance Computers Marvin Zelkowitz1,2

    E-Print Network [OSTI]

    Zelkowitz, Marvin V.

    Measuring Productivity on High Performance Computers Marvin Zelkowitz1,2 Victor Basili1,2 Sima, lorin, hollings, nakamura}@cs.umd.edu Abstract In the high performance computing domain, the speed of concern to high performance computing developers. In this paper we will discuss the problems of defining

  17. MAUI HIGH PERFORMANCE COMPUTING CENTER 550 Lipoa Parkway, Kihei-Maui, HI 96753

    E-Print Network [OSTI]

    Olsen, Stephen L.

    MAUI HIGH PERFORMANCE COMPUTING CENTER i 550 Lipoa Parkway, Kihei-Maui, HI 96753 (808) 879-5077 · Fax: (808) 879-5018 E-mail: info@mhpcc.hpc.mil URL: www.mhpcc.hpc.mil MAUI HIGH PERFORMANCE COMPUTING This is the fourteenth annual edition of Maui High Performance Computing Center's (MHPCC) Application Briefs which

  18. For Immediate Release AUB to develop its high performance computing capacities in the

    E-Print Network [OSTI]

    Shihadeh, Alan

    For Immediate Release AUB to develop its high performance computing capacities in the service steps to become a high performance computing center that will be able to process massive amounts thousands of servers. According to Wikipedia, supercomputers, or high performance computing, play

  19. UNIVERSITY OF SOUTHERN CALIFORNIA CSCI 653 (High Performance Computing and Simulations) : Fall 2013

    E-Print Network [OSTI]

    Southern California, University of

    UNIVERSITY OF SOUTHERN CALIFORNIA CSCI 653 (High Performance Computing and Simulations) : Fall 2013 Performance Computing and Simulations). My PhD work is in the area of resiliency for future Exascale High. 2 DESCRIPTION OF AN HPCS APPLICATION Simulation of Large Scale High Performance Computing System

  20. PRESENT AND FUTURE OF HIGH PERFORMANCE COMPUTING Trends, Challenges, and Opportunities

    E-Print Network [OSTI]

    Ceragioli, Francesca

    PRESENT AND FUTURE OF HIGH PERFORMANCE COMPUTING Trends, Challenges, and Opportunities November 17 laboratories of the HPC facilities and resources. First, the EPFL high performance computing facilities of Modeling and Simulation through High Performance Computing. Leading research activities of various groups

  1. 1st International Workshop on High Performance Computing, Networking and Analytics for the Power Grid

    E-Print Network [OSTI]

    1st International Workshop on High Performance Computing, Networking and Analytics for the Power Transient Stability" #12;1st International Workshop on High Performance Computing, Networking and Analytics (University of Vermont). "Developing a Dynamic Model of Cascading Failure for High Performance Computing using

  2. A Multi-core High Performance Computing Framework for Probabilistic Solutions of

    E-Print Network [OSTI]

    Franchetti, Franz

    1 A Multi-core High Performance Computing Framework for Probabilistic Solutions of Distribution. In this paper we developed a generally applicable high performance computing framework for Monte Carlo--Distribution systems, high performance comput- ing, Monte Carlo simulation, probabilistic load flow, renewable energy

  3. Judging the Impact of Conference and Journal Publications in High Performance Computing

    E-Print Network [OSTI]

    Zhou, Yuanyuan

    Judging the Impact of Conference and Journal Publications in High Performance Computing dimensions that count most, conferences are superior. This is particularly true in high performance computing and are never published in journals. The area of high performance computing is broad, and we divide venues

  4. 10 January 2009 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING High Performance Computing in Remote Sensing

    E-Print Network [OSTI]

    Plaza, Antonio J.

    10 January 2009 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING High Performance Computing in Remote Book ReviewBook Review High Performance Computing in Remote Sensing introduces the most recent advances in the incorporation of the high-performance computing (HPC) paradigm in remote sensing missions. Eighteen well

  5. High performance computing and the simplex method Julian Hall, Qi Huangfu and Edmund Smith

    E-Print Network [OSTI]

    Hall, Julian

    High performance computing and the simplex method Julian Hall, Qi Huangfu and Edmund Smith School of Mathematics University of Edinburgh 12th April 2011 High performance computing and the simplex method #12;The... ... but methods for all three depend on it! High performance computing and the simplex method 1 #12;Overview · LP

  6. Third International Workshop on Software Engineering for High Performance Computing (HPC) Applications

    E-Print Network [OSTI]

    Carver, Jeffrey C.

    Third International Workshop on Software Engineering for High Performance Computing (HPC, and financial modeling. The TOP500 website (http://www.top500.org) lists the top 500 high performance computing to define new ways of measuring high performance computing systems that take into account not only the low

  7. The Use of Java in High Performance Computing: A Data Mining Example

    E-Print Network [OSTI]

    Walker, David W.

    The Use of Java in High Performance Computing: A Data Mining Example David Walker and Omer Rana in high performance computing is discussed with particular reference to the efforts of the Java Grande Java, Parallel Computing, Neu­ ral Networks, Distributed Objects 1 Introduction High performance

  8. An AWGR based Low-Latency Optical Switch for Data Centers and High Performance Computing Systems

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    i An AWGR based Low-Latency Optical Switch for Data Centers and High Performance Computing Systems based optical switch for data centers and high performance computing systems that builds upon several for Data Centers and High Performance Computing Systems ..i ABSTRACT .....................................

  9. Modeling and Simulation Environment for Photonic Interconnection Networks in High Performance Computing

    E-Print Network [OSTI]

    Bergman, Keren

    at the scale of high performance computer clusters and warehouse scale data centers, system level simulations and results for rack scale photonic interconnection networks for high performance computing. Keywords: optical to the newsworthy power consumption [3], latency [4] and bandwidth challenges [5] of high performance computing (HPC

  10. A Pilot Study to Evaluate Development Effort for High Performance Computing

    E-Print Network [OSTI]

    Basili, Victor R.

    1 A Pilot Study to Evaluate Development Effort for High Performance Computing Victor Basili1 the development time for programs written for high performance computers (HPC). To attack this relatively novel students in a graduate level High Performance Computing class at the University of Maryland. We collected

  11. Computational Performance of Ultra-High-Resolution Capability...

    Office of Scientific and Technical Information (OSTI)

    in the Community Earth System Model With the fourth release of the Community Climate System Model, the ability to perform ultra-high resolution climate simulations is now...

  12. Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing

    E-Print Network [OSTI]

    Plaza, Antonio J.

    Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing Bormin Huanga-performance computing in applied remote sensing presents the state-of-the-art research in incorporating high-performance computing (HPC) facilities and algorithms for effective and efficient remote sensing applications

  13. Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

    E-Print Network [OSTI]

    Price, D C; Barsdell, B R; Babich, R; Greenhill, L J

    2014-01-01

    The magnitude of the real-time digital signal processing challenge attached to large radio astronomical antenna arrays motivates use of high performance computing (HPC) systems. The need for high power efficiency (performance per watt) at remote observatory sites parallels that in HPC broadly, where efficiency is an emerging critical metric. We investigate how the performance per watt of graphics processing units (GPUs) is affected by temperature, core clock frequency and voltage. Our results highlight how the underlying physical processes that govern transistor operation affect power efficiency. In particular, we show experimentally that GPU power consumption grows non-linearly with both temperature and supply voltage, as predicted by physical transistor models. We show lowering GPU supply voltage and increasing clock frequency while maintaining a low die temperature increases the power efficiency of an NVIDIA K20 GPU by up to 37-48% over default settings when running xGPU, a compute-bound code used in radio...

  14. Thermal, Power, and Co-location Aware Resource Allocation in Heterogeneous High Performance Computing Systems

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    --The rapid increase in power consumption of high performance computing (HPC) systems has led to an increase interference I. INTRODUCTION The power consumption of high-performance comput- ing (HPC) systems and dataThermal, Power, and Co-location Aware Resource Allocation in Heterogeneous High Performance

  15. May 22, 2008 Symmetric Active/Active High Availability for High-Performance Computing System Services: Accomplishments and Limitations

    E-Print Network [OSTI]

    Engelmann, Christian

    May 22, 2008 Symmetric Active/Active High Availability for High-Performance Computing System Services: Accomplishments and Limitations 1/31 Symmetric Active/Active High Availability for High, Cookeville, USA #12;May 22, 2008 Symmetric Active/Active High Availability for High-Performance Computing

  16. Tech-X Corporation has accessed the high performance computing (HPC) facilities at the Science and Technology Facilities Council's (STFC)

    E-Print Network [OSTI]

    Zharkova, Valentina V.

    Tech-X Corporation has accessed the high performance computing (HPC) facilities at the Science high performance computing (HPC) and simulation technology. A research collaboratory in association

  17. Performance Computing with

    E-Print Network [OSTI]

    Martin, Stephen John

    High Performance Computing with Iceberg. Mike Griffiths Bob Booth November 2005 AP-Unix4 © University of Sheffield #12;Bob Booth High Performance Computing with Iceberg Contents 1. REVIEW OF AVAILABLE 23 7.1 USING FUSE TO MOUNT FILE SYSTEMS ON ICEBERG 23 2 #12;Bob Booth High Performance Computing

  18. High-performance computer system installed at Los Alamos National

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energy neutronHigh-PressureLaboratory High-performance

  19. Advanced Research Computing (www.arc.vt.edu) has an open graduate research assistant position for user support / help desk in support of High Performance Computing resources.

    E-Print Network [OSTI]

    for user support / help desk in support of High Performance Computing resources. The position begins environment Interest in High Performance Computing Motivation to work in a fastpaced, resultsoriented

  20. 2012 High Performance Computing Modernization Program Contributions to DoD Mission Success Computational Studies of Oxidation States, Polar Ferroelectric Films, and Defects

    E-Print Network [OSTI]

    Rappe, Andrew M.

    2012 High Performance Computing Modernization Program Contributions to DoD Mission Success 137, we review our recent High Performance Computing Modernization Program (HPCMP)-supported density

  1. High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics

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

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

    The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing (HPC) are essential for accurately modeling them. In the past decade, the DOE SciDAC program has produced such accelerator-modeling tools, which have beem employed to tackle some of the most difficult accelerator science problems. In this article we discuss the Synergia beam-dynamics framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation packagemore »capable of handling the entire spectrum of beam dynamics simulations. We present the design principles, key physical and numerical models in Synergia and its performance on HPC platforms. Finally, we present the results of Synergia applications for the Fermilab proton source upgrade, known as the Proton Improvement Plan (PIP).« less

  2. High-Performance Computing Modeling Advances Accelerator Science for High-Energy Physics

    SciTech Connect (OSTI)

    Amundson, James; Macridin, Alexandru; Spentzouris, Panagiotis

    2014-11-01

    The development and optimization of particle accelerators are essential for advancing our understanding of the properties of matter, energy, space and time. Particle accelerators are complex devices whose behavior involves many physical effects on multiple scales. Therefore, advanced computational tools utilizing high-performance computing (HPC) are essential for accurately modeling them. In the past decade, the DOE SciDAC program has produced such accelerator-modeling tools, which have beem employed to tackle some of the most difficult accelerator science problems. In this article we discuss the Synergia beam-dynamics framework and its applications to high-intensity particle accelerator physics. Synergia is an accelerator simulation package capable of handling the entire spectrum of beam dynamics simulations. We present the design principles, key physical and numerical models in Synergia and its performance on HPC platforms. Finally, we present the results of Synergia applications for the Fermilab proton source upgrade, known as the Proton Improvement Plan (PIP).

  3. ENERGY-EFFICIENT RESOURCE MANAGEMENT FOR HIGH-PERFORMANCE COMPUTING PLATFORMS

    E-Print Network [OSTI]

    Qin, Xiao

    ENERGY-EFFICIENT RESOURCE MANAGEMENT FOR HIGH-PERFORMANCE COMPUTING PLATFORMS Except where School Engineering #12;ENERGY-EFFICIENT RESOURCE MANAGEMENT FOR HIGH-PERFORMANCE COMPUTING PLATFORMS energy-aware resource management techniques to #12;v HPC platforms. We have conducted extensive

  4. ENERGY-EFFICIENT RESOURCE MANAGEMENT FOR HIGH-PERFORMANCE COMPUTING PLATFORMS

    E-Print Network [OSTI]

    Qin, Xiao

    ENERGY-EFFICIENT RESOURCE MANAGEMENT FOR HIGH-PERFORMANCE COMPUTING PLATFORMS Except where School Engineering #12;ENERGY-EFFICIENT RESOURCE MANAGEMENT FOR HIGH-PERFORMANCE COMPUTING PLATFORMS of the Requirements for the Degree of Doctor of Philosophy Auburn, Alabama August 9, 2008 #12;iii ENERGY-EFFICIENT

  5. High-Performance Special-Purpose Computers in Science

    E-Print Network [OSTI]

    Toshiyuki Fukushige; Piet Hut; Jun Makino

    1998-11-26

    The next decade will be an exciting time for computational physicists. After 50 years of being forced to use standardized commercial equipment, it will finally become relatively straightforward to adapt one's computing tools to one's own needs. The breakthrough that opens this new era is the now wide-spread availability of programmable chips that allow virtually every computational scientist to design his or her own special-purpose computer.

  6. High Performance Computing Facility Operational Assessment, FY 2010 Oak Ridge Leadership Computing Facility

    SciTech Connect (OSTI)

    Bland, Arthur S Buddy; Hack, James J; Baker, Ann E; Barker, Ashley D; Boudwin, Kathlyn J.; Kendall, Ricky A; Messer, Bronson; Rogers, James H; Shipman, Galen M; White, Julia C

    2010-08-01

    Oak Ridge National Laboratory's (ORNL's) Cray XT5 supercomputer, Jaguar, kicked off the era of petascale scientific computing in 2008 with applications that sustained more than a thousand trillion floating point calculations per second - or 1 petaflop. Jaguar continues to grow even more powerful as it helps researchers broaden the boundaries of knowledge in virtually every domain of computational science, including weather and climate, nuclear energy, geosciences, combustion, bioenergy, fusion, and materials science. Their insights promise to broaden our knowledge in areas that are vitally important to the Department of Energy (DOE) and the nation as a whole, particularly energy assurance and climate change. The science of the 21st century, however, will demand further revolutions in computing, supercomputers capable of a million trillion calculations a second - 1 exaflop - and beyond. These systems will allow investigators to continue attacking global challenges through modeling and simulation and to unravel longstanding scientific questions. Creating such systems will also require new approaches to daunting challenges. High-performance systems of the future will need to be codesigned for scientific and engineering applications with best-in-class communications networks and data-management infrastructures and teams of skilled researchers able to take full advantage of these new resources. The Oak Ridge Leadership Computing Facility (OLCF) provides the nation's most powerful open resource for capability computing, with a sustainable path that will maintain and extend national leadership for DOE's Office of Science (SC). The OLCF has engaged a world-class team to support petascale science and to take a dramatic step forward, fielding new capabilities for high-end science. This report highlights the successful delivery and operation of a petascale system and shows how the OLCF fosters application development teams, developing cutting-edge tools and resources for next-generation systems.

  7. A compression scheme for radio data in high performance computing

    E-Print Network [OSTI]

    Masui, Kiyoshi; Connor, Liam; Deng, Meiling; Fandino, Mateus; Höfer, Carolin; Halpern, Mark; Hanna, David; Hincks, Adam D; Hinshaw, Gary; Parra, Juan Mena; Newburgh, Laura B; Shaw, J Richard; Vanderlinde, Keith

    2015-01-01

    We present a procedure for efficiently compressing astronomical radio data for high performance applications. Integrated, post-correlation data are first passed through a nearly lossless rounding step which compares the precision of the data to a generalized and calibration-independent form of the radiometer equation. This allows the precision of the data to be reduced in a way that has an insignificant impact on the data. The newly developed Bitshuffle lossless compression algorithm is subsequently applied. When the algorithm is used in conjunction with the HDF5 library and data format, data produced by the CHIME Pathfinder telescope is compressed to 28% of its original size and decompression throughputs in excess of 1 GB/s are obtained on a single core.

  8. A High Performance Computing Platform for Performing High-Volume Studies With Windows-based Power Grid Tools

    SciTech Connect (OSTI)

    Chen, Yousu; Huang, Zhenyu

    2014-08-31

    Serial Windows-based programs are widely used in power utilities. For applications that require high volume simulations, the single CPU runtime can be on the order of days or weeks. The lengthy runtime, along with the availability of low cost hardware, is leading utilities to seriously consider High Performance Computing (HPC) techniques. However, the vast majority of the HPC computers are still Linux-based and many HPC applications have been custom developed external to the core simulation engine without consideration for ease of use. This has created a technical gap for applying HPC-based tools to today’s power grid studies. To fill this gap and accelerate the acceptance and adoption of HPC for power grid applications, this paper presents a prototype of generic HPC platform for running Windows-based power grid programs on Linux-based HPC environment. The preliminary results show that the runtime can be reduced from weeks to hours to improve work efficiency.

  9. The demand for high performance computing research has been significantly increasing over the past few years. Various

    E-Print Network [OSTI]

    Akhmedov, Azer

    The demand for high performance computing research has been significantly increasing over the past to promote the effective use of High Performance Computing in the research environment. In addition facility has enabled cutting-edge computations material research, "Having a high-performance computing

  10. Scientific Grand Challenges: Forefront Questions in Nuclear Science and the Role of High Performance Computing

    SciTech Connect (OSTI)

    Khaleel, Mohammad A.

    2009-10-01

    This report is an account of the deliberations and conclusions of the workshop on "Forefront Questions in Nuclear Science and the Role of High Performance Computing" held January 26-28, 2009, co-sponsored by the U.S. Department of Energy (DOE) Office of Nuclear Physics (ONP) and the DOE Office of Advanced Scientific Computing (ASCR). Representatives from the national and international nuclear physics communities, as well as from the high performance computing community, participated. The purpose of this workshop was to 1) identify forefront scientific challenges in nuclear physics and then determine which-if any-of these could be aided by high performance computing at the extreme scale; 2) establish how and why new high performance computing capabilities could address issues at the frontiers of nuclear science; 3) provide nuclear physicists the opportunity to influence the development of high performance computing; and 4) provide the nuclear physics community with plans for development of future high performance computing capability by DOE ASCR.

  11. High Performance Computing for Sequence Analysis (2010 JGI/ANL HPC Workshop)

    ScienceCinema (OSTI)

    Oehmen, Chris [PNNL

    2011-06-08

    Chris Oehmen of the Pacific Northwest National Laboratory gives a presentation on "High Performance Computing for Sequence Analysis" at the JGI/Argonne HPC Workshop on January 25, 2010.

  12. Workshop on programming languages for high performance computing (HPCWPL): final report.

    SciTech Connect (OSTI)

    Murphy, Richard C.

    2007-05-01

    This report summarizes the deliberations and conclusions of the Workshop on Programming Languages for High Performance Computing (HPCWPL) held at the Sandia CSRI facility in Albuquerque, NM on December 12-13, 2006.

  13. High Performance Computing for Sequence Analysis (2010 JGI/ANL HPC Workshop)

    SciTech Connect (OSTI)

    Oehmen, Chris [PNNL] [PNNL

    2010-01-25

    Chris Oehmen of the Pacific Northwest National Laboratory gives a presentation on "High Performance Computing for Sequence Analysis" at the JGI/Argonne HPC Workshop on January 25, 2010.

  14. VIP-FS: A Virtual, Parallel file System for High Performance Parallel and Distributed Computing *

    E-Print Network [OSTI]

    -passing li- blclries only provide part of the support necessary for most high performan.ce distributed computing applzca- tzcjns - support for hagh speed parallel l/O is still lark- 211q. In this paper, we

  15. Vehicle Technologies Office Merit Review 2013: Accelerating Predictive Simulation of IC Engines with High Performance Computing

    Broader source: Energy.gov [DOE]

    Presentation given by Oak Ridge National Laboratory at the 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting about simulating internal combustion engines using high performance computing.

  16. Scalable File Systems for High Performance Computing Final Report

    SciTech Connect (OSTI)

    Brandt, S A

    2007-10-03

    Simulations of mode I interlaminar fracture toughness tests of a carbon-reinforced composite material (BMS 8-212) were conducted with LSDYNA. The fracture toughness tests were performed by U.C. Berkeley. The simulations were performed to investigate the validity and practicality of employing decohesive elements to represent interlaminar bond failures that are prevalent in carbon-fiber composite structure penetration events. The simulations employed a decohesive element formulation that was verified on a simple two element model before being employed to perform the full model simulations. Care was required during the simulations to ensure that the explicit time integration of LSDYNA duplicate the near steady-state testing conditions. In general, this study validated the use of employing decohesive elements to represent the interlaminar bond failures seen in carbon-fiber composite structures, but the practicality of employing the elements to represent the bond failures seen in carbon-fiber composite structures during penetration events was not established.

  17. "A High-Performance Brain Computer Interface" Supplementary Information

    E-Print Network [OSTI]

    Shenoy, Krishna V.

    by a short tone followed by a click corresponding to the action of a juice dispenser. These auditory signals across trials. 2 Motor-related activity in the absence of the visual stimulus We performed a control experiment to confirm that sustained neural activity during the delay period was related to motor intention

  18. Power Signatures of High-Performance Computing Workloads

    E-Print Network [OSTI]

    Rivoire, Suzanne

    the potential to save energy while minimizing negative impact on performance. The effectiveness- ing techniques have the potential to maximize work done within a power budget or to save energy State University Rohnert Park, CA, USA Chung-Hsing Hsu and Stephen W. Poole Oak Ridge National

  19. High performance computing and communications grand challenges program

    SciTech Connect (OSTI)

    Solomon, J.E.; Barr, A.; Chandy, K.M.; Goddard, W.A., III; Kesselman, C.

    1994-10-01

    The so-called protein folding problem has numerous aspects, however it is principally concerned with the {ital de novo} prediction of three-dimensional (3D) structure from the protein primary amino acid sequence, and with the kinetics of the protein folding process. Our current project focuses on the 3D structure prediction problem which has proved to be an elusive goal of molecular biology and biochemistry. The number of local energy minima is exponential in the number of amino acids in the protein. All current methods of 3D structure prediction attempt to alleviate this problem by imposing various constraints that effectively limit the volume of conformational space which must be searched. Our Grand Challenge project consists of two elements: (1) a hierarchical methodology for 3D protein structure prediction; and (2) development of a parallel computing environment, the Protein Folding Workbench, for carrying out a variety of protein structure prediction/modeling computations. During the first three years of this project, we are focusing on the use of two proteins selected from the Brookhaven Protein Data Base (PDB) of known structure to provide validation of our prediction algorithms and their software implementation, both serial and parallel. Both proteins, protein L from {ital peptostreptococcus magnus}, and {ital streptococcal} protein G, are known to bind to IgG, and both have an {alpha} {plus} {beta} sandwich conformation. Although both proteins bind to IgG, they do so at different sites on the immunoglobin and it is of considerable biological interest to understand structurally why this is so. 12 refs., 1 fig.

  20. Reliable High Performance Peta- and Exa-Scale Computing

    SciTech Connect (OSTI)

    Bronevetsky, G

    2012-04-02

    As supercomputers become larger and more powerful, they are growing increasingly complex. This is reflected both in the exponentially increasing numbers of components in HPC systems (LLNL is currently installing the 1.6 million core Sequoia system) as well as the wide variety of software and hardware components that a typical system includes. At this scale it becomes infeasible to make each component sufficiently reliable to prevent regular faults somewhere in the system or to account for all possible cross-component interactions. The resulting faults and instability cause HPC applications to crash, perform sub-optimally or even produce erroneous results. As supercomputers continue to approach Exascale performance and full system reliability becomes prohibitively expensive, we will require novel techniques to bridge the gap between the lower reliability provided by hardware systems and users unchanging need for consistent performance and reliable results. Previous research on HPC system reliability has developed various techniques for tolerating and detecting various types of faults. However, these techniques have seen very limited real applicability because of our poor understanding of how real systems are affected by complex faults such as soft fault-induced bit flips or performance degradations. Prior work on such techniques has had very limited practical utility because it has generally focused on analyzing the behavior of entire software/hardware systems both during normal operation and in the face of faults. Because such behaviors are extremely complex, such studies have only produced coarse behavioral models of limited sets of software/hardware system stacks. Since this provides little insight into the many different system stacks and applications used in practice, this work has had little real-world impact. My project addresses this problem by developing a modular methodology to analyze the behavior of applications and systems during both normal and faulty operation. By synthesizing models of individual components into a whole-system behavior models my work is making it possible to automatically understand the behavior of arbitrary real-world systems to enable them to tolerate a wide range of system faults. My project is following a multi-pronged research strategy. Section II discusses my work on modeling the behavior of existing applications and systems. Section II.A discusses resilience in the face of soft faults and Section II.B looks at techniques to tolerate performance faults. Finally Section III presents an alternative approach that studies how a system should be designed from the ground up to make resilience natural and easy.

  1. High Performance Computing Facility Operational Assessment, CY 2011 Oak

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report:Speeding accessby aLED Street LightingFrom theHigh Efficiency CdTe and

  2. High-performance computer system installed at Los Alamos National

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D. Title: ProfessorHigh-Pressureand Modeling

  3. DOE ASSESSMENT SEAB Recommendations Related to High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle10 DOE ASSESSMENT SEAB Recommendations Related to High

  4. Process for selecting NEAMS applications for access to Idaho National Laboratory high performance computing resources

    SciTech Connect (OSTI)

    Michael Pernice

    2010-09-01

    INL has agreed to provide participants in the Nuclear Energy Advanced Mod- eling and Simulation (NEAMS) program with access to its high performance computing (HPC) resources under sponsorship of the Enabling Computational Technologies (ECT) program element. This report documents the process used to select applications and the software stack in place at INL.

  5. Application-Specific Memory Interleaving Enables High Performance in FPGA-based Grid Computations1

    E-Print Network [OSTI]

    Herbordt, Martin

    around an off-grid position that are needed for 3D interpolation of a value at that position. We present applications, where forces computed at grid points must be applied to off-grid particles. Red-black relaxationApplication-Specific Memory Interleaving Enables High Performance in FPGA-based Grid Computations1

  6. Feb. 11, 2008 Advanced Fault Tolerance Solutions for High Performance Computing 1/47 Advanced Fault Tolerance Solutions

    E-Print Network [OSTI]

    Engelmann, Christian

    Feb. 11, 2008 Advanced Fault Tolerance Solutions for High Performance Computing 1/47 RAS RAS Advanced Fault Tolerance Solutions for High Performance Computing Christian Engelmann Oak Ridge National Solutions for High Performance Computing 2/47 · Nation's largest energy laboratory · Nation's largest

  7. February 13, 2008 Virtualized Environments for the Harness High Performance Computing Workbench 1/17 Virtualized Environments for the Harness

    E-Print Network [OSTI]

    Engelmann, Christian

    February 13, 2008 Virtualized Environments for the Harness High Performance Computing Workbench 1/17 Virtualized Environments for the Harness High Performance Computing Workbench Björn Könning1,2, Christian Virtualized Environments for the Harness High Performance Computing Workbench 4/17 Harness HPC Workbench

  8. 3rd Workshop on System-level Virtualization for High Performance Computing (HPCVirt) 2009, Nuremberg, Germany, March 30, 2009

    E-Print Network [OSTI]

    Engelmann, Christian

    3rd Workshop on System-level Virtualization for High Performance Computing (HPCVirt) 2009 for High Performance Computing (HPCVirt) 2009, Nuremberg, Germany, March 30, 2009 Outline · Background work #12;3/193rd Workshop on System-level Virtualization for High Performance Computing (HPCVirt) 2009

  9. Channel Tracking with WLMS Algorithms: High Performance at LMS Computational Load

    E-Print Network [OSTI]

    Channel Tracking with WLMS Algorithms: High Performance at LMS Computational Load Anders Ahl#19;en adaptation laws based on a priori information. The simplest adaptation law, named the Wiener LMS algorithm order of magnitude as that of LMS for white regressors. The tracking performance is however

  10. High Performance Datacenter Networks

    E-Print Network [OSTI]

    Cortes, Corinna

    High Performance Datacenter Networks Architectures, Algorithms, and Opportunities #12;Synthesis architecture conferences, such as ISCA, HPCA, MICRO, and ASPLOS. High Performance Datacenter Networks Computer Architecture Daniel J. Sorin 2009 The Datacenter as a Computer: An Introduction to the Design

  11. Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Laboratory Dept. of Computer Science and Software Engineering The University of Melbourne, Australia {csyeo, raj}@cs.mu.oz.au 2 Parallel and Distributed Systems Laboratory Department of Computer Science for cluster computing was developed in the 1960s by IBM as an alternative of linking large mainframes

  12. RAPID for high-performance computing systems: architecture and performance evaluation

    E-Print Network [OSTI]

    Louri, Ahmed

    - ited serial input output (I O) links.3 It is estimated that future HPCS utilizing off communication distances and higher bit rates will create a major communication bottleneck in high RAPID architecture and compare it to several electrical HPCS interconnects. Based on the performance

  13. 2011 DoD High Performance Computing Modernization Program Users Group Conference A Web-based High-Throughput Tool for Next-Generation Sequence Annotation

    E-Print Network [OSTI]

    320 2011 DoD High Performance Computing Modernization Program Users Group Conference A Web deployed on the Mana Linux cluster at the Maui High Performance Computing Center. The two components

  14. Teaching High Performance Computing: Lessons from a flipped classroom, project-based course on finite element methods

    E-Print Network [OSTI]

    Bangerth, Wolfgang

    Teaching High Performance Computing: Lessons from a flipped classroom, project-based course. INTRODUCTION High Performance Computing (HPC) is a subject requiring students to learn material from a broad of Mathematics Texas A&M University College Station, USA bangerth@math.tamu.edu AbstractHigh Performance

  15. Power System Probabilistic and Security Analysis on Commodity High Performance Computing Systems

    E-Print Network [OSTI]

    Franchetti, Franz

    Power System Probabilistic and Security Analysis on Commodity High Performance Computing Systems approaches for com- prehensive system analysis. The large-varying grid condi- tion on the aging and stressed power system infrastructures also requires merging of offline security analyses into on- line operation

  16. Measuring Productivity on High Performance Computers Marvin Zelkowitz1,2

    E-Print Network [OSTI]

    Basili, Victor R.

    Measuring Productivity on High Performance Computers Marvin Zelkowitz1,2 Victor Basili1,2 Sima and measuring productivity for these machines and we develop a model of productivity that includes both with respect to our model of productivity. 1. Introduction Productivity is an economic concept that measures

  17. Statistical physics of fracture: scientific discovery through high-performance computing

    E-Print Network [OSTI]

    Mills, Richard

    Statistical physics of fracture: scientific discovery through high-performance computing Phani. The paper presents the state-of-the-art algorithmic developments for simulating the fracture of disordered fracture of largest ever lattice system sizes (L = 1024 in 2D, and L = 64 in 3D) with extensive statistical

  18. UNBC HPC Policy last revised: 2/1/2007, 2:49:29 PM UNBC Enhanced High Performance Computing Center

    E-Print Network [OSTI]

    Northern British Columbia, University of

    UNBC HPC Policy last revised: 2/1/2007, 2:49:29 PM UNBC Enhanced High Performance Computing Center and contracts are sought by Principal Investigators. Membership Policies The UNBC Enhanced High Performance Computing Center (called " UNBC HPC" hereafter) provides computing resources and services to members

  19. Super computers in astrophysics and High Performance simulations of self-gravitating systems

    E-Print Network [OSTI]

    R. Capuzzo-Dolcetta; P. Di Matteo; P. Miocchi

    2003-07-16

    The modern study of the dynamics of stellar systems requires the use of high-performance computers. Indeed, an accurate modelization of the structure and evolution of self-gravitating systems like planetary systems, open clusters, globular clusters and galaxies imply the evaluation of body-body interaction over the whole size of the structure, a task that is computationally very expensive, in particular when it is performed over long intervals of time. In this report we give a concise overview of the main problems of stellar systems simulations and present some exciting results we obtained about the interaction of globular clusters with the parent galaxy.

  20. High performance photonic reservoir computer based on a coherently driven passive cavity

    E-Print Network [OSTI]

    Vinckier, Quentin; Smerieri, Anteo; Vandoorne, Kristof; Bienstman, Peter; Haelterman, Marc; Massar, Serge

    2015-01-01

    Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has enabled a breakthrough in analog information processing, with several experiments, both electronic and optical, demonstrating state-of-the-art performances for hard tasks such as speech recognition, time series prediction and nonlinear channel equalization. A proof-of-principle experiment using a linear optical circuit on a photonic chip to process digital signals was recently reported. Here we present the first implementation of a photonic reservoir computer based on a coherently driven passive fiber cavity processing analog signals. Our experiment surpasses all previous experiments on a wide variety of tasks, and also has lower power consumption. Furthermore, the analytical model describing our experiment is also of interest, as it arguably constitutes the simplest high performance reservoir computer algorithm introduced so far. The present experiment, given its remarkable performances, low energy consumption...

  1. High-Performance Computing for Alloy Development | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energy neutron ComputedHigh-Performance Computing for Alloy

  2. Opening Remarks from the Joint Genome Institute and Argonne Lab High Performance Computing Workshop (2010 JGI/ANL HPC Workshop)

    ScienceCinema (OSTI)

    Rubin, Eddy

    2011-06-03

    DOE JGI Director Eddy Rubin gives opening remarks at the JGI/Argonne High Performance Computing (HPC) Workshop on January 25, 2010.

  3. Opening Remarks from the Joint Genome Institute and Argonne Lab High Performance Computing Workshop (2010 JGI/ANL HPC Workshop)

    SciTech Connect (OSTI)

    Rubin, Eddy

    2010-01-25

    DOE JGI Director Eddy Rubin gives opening remarks at the JGI/Argonne High Performance Computing (HPC) Workshop on January 25, 2010.

  4. An Overview of High Performance Computing and Challenges for the Future

    ScienceCinema (OSTI)

    Google Tech Talks

    2009-09-01

    In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and lgorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments. Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder. We will focus on the redesign of software to fit multicore architectures. Speaker: Jack Dongarra University of Tennessee Oak Ridge National Laboratory University of Manchester Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 200 articles, papers, reports and technical memoranda and he is coauthor of several books. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches. He is a Fellow of the AAAS, ACM, and the IEEE and a member of the National Academy of Engineering.

  5. Matrix multiplication operations with data pre-conditioning in a high performance computing architecture

    DOE Patents [OSTI]

    Eichenberger, Alexandre E; Gschwind, Michael K; Gunnels, John A

    2013-11-05

    Mechanisms for performing matrix multiplication operations with data pre-conditioning in a high performance computing architecture are provided. A vector load operation is performed to load a first vector operand of the matrix multiplication operation to a first target vector register. A load and splat operation is performed to load an element of a second vector operand and replicating the element to each of a plurality of elements of a second target vector register. A multiply add operation is performed on elements of the first target vector register and elements of the second target vector register to generate a partial product of the matrix multiplication operation. The partial product of the matrix multiplication operation is accumulated with other partial products of the matrix multiplication operation.

  6. Toward a Performance/Resilience Tool for Hardware/Software Co-Design of High-Performance Computing Systems

    SciTech Connect (OSTI)

    Engelmann, Christian [ORNL] [ORNL; Naughton, III, Thomas J [ORNL

    2013-01-01

    xSim is a simulation-based performance investigation toolkit that permits running high-performance computing (HPC) applications in a controlled environment with millions of concurrent execution threads, while observing application performance in a simulated extreme-scale system for hardware/software co-design. The presented work details newly developed features for xSim that permit the injection of MPI process failures, the propagation/detection/notification of such failures within the simulation, and their handling using application-level checkpoint/restart. These new capabilities enable the observation of application behavior and performance under failure within a simulated future-generation HPC system using the most common fault handling technique.

  7. 198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright 2006 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Shen, Jian - Department of Mathematics, Texas State University

    198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright © 2006 Performance Computing and Networking, Vol. 4, Nos. 3/4, pp.198­206. Biographical notes: Xiao Chen, J. (2006) `Improved schemes for power-efficient broadcast in ad hoc networks', Int. J. High

  8. Towards Real-Time High Performance Computing For Power Grid Analysis

    SciTech Connect (OSTI)

    Hui, Peter SY; Lee, Barry; Chikkagoudar, Satish

    2012-11-16

    Real-time computing has traditionally been considered largely in the context of single-processor and embedded systems, and indeed, the terms real-time computing, embedded systems, and control systems are often mentioned in closely related contexts. However, real-time computing in the context of multinode systems, specifically high-performance, cluster-computing systems, remains relatively unexplored. Imposing real-time constraints on a parallel (cluster) computing environment introduces a variety of challenges with respect to the formal verification of the system's timing properties. In this paper, we give a motivating example to demonstrate the need for such a system--- an application to estimate the electromechanical states of the power grid--- and we introduce a formal method for performing verification of certain temporal properties within a system of parallel processes. We describe our work towards a full real-time implementation of the target application--- namely, our progress towards extracting a key mathematical kernel from the application, the formal process by which we analyze the intricate timing behavior of the processes on the cluster, as well as timing measurements taken on our test cluster to demonstrate use of these concepts.

  9. Astrocomp: a web service for the use of high performance computers in Astrophysics

    E-Print Network [OSTI]

    U. Becciani; R. Capuzzo Dolcetta; A. Costa; P. Di Matteo; P. Miocchi; V. Rosato

    2004-07-27

    Astrocomp is a joint project, developed by the INAF-Astrophysical Observatory of Catania, University of Roma La Sapienza and Enea. The project has the goal of providing the scientific community of a web-based user-friendly interface which allows running parallel codes on a set of high-performance computing (HPC) resources, without any need for specific knowledge about parallel programming and Operating Systems commands. Astrocomp provides, also, computing time on a set of parallel computing systems, available to the authorized user. At present, the portal makes a few codes available, among which: FLY, a cosmological code for studying three-dimensional collisionless self-gravitating systems with periodic boundary conditions; ATD, a parallel tree-code for the simulation of the dynamics of boundary-free collisional and collisionless self-gravitating systems and MARA, a code for stellar light curves analysis. Other codes are going to be added to the portal.

  10. Proc. Fourth IDEA Workshop, Magnetic Island, 17-20 May 1997, and Technical Note DHPC-006. Trends in High Performance Computing

    E-Print Network [OSTI]

    Hawick, Ken

    in High Performance Computing K.A.Hawick Department of Computer Science, University of Adelaide, South computing. What used to be referred to as ``Supercomputing'' became ``High Performance Computing speeds. A possible new acronym for the collective field is ``Distributed, High Performance, Computing

  11. Evaluating Performance, Power, and Cooling in High Performance Computing (HPC) Data Centers

    SciTech Connect (OSTI)

    Evans, Jeffrey; Sandeep, Gupta; Karavanic, Karen; Marquez, Andres; Varsamopoulos, Girogios

    2012-01-24

    This chapter explores current research focused on developing our understanding of the interrelationships involved with HPC performance and energy management. The first section explores data center instrumentation, measurement, and performance analysis techniques, followed by a section focusing on work in data center thermal management and resource allocation. This is followed by an exploration of emerging techniques to identify application behavioral attributes that can provide clues and advice to HPC resource and energy management systems for the purpose of balancing HPC performance and energy efficiency.

  12. Measuring and tuning energy efficiency on large scale high performance computing platforms.

    SciTech Connect (OSTI)

    Laros, James H., III

    2011-08-01

    Recognition of the importance of power in the field of High Performance Computing, whether it be as an obstacle, expense or design consideration, has never been greater and more pervasive. While research has been conducted on many related aspects, there is a stark absence of work focused on large scale High Performance Computing. Part of the reason is the lack of measurement capability currently available on small or large platforms. Typically, research is conducted using coarse methods of measurement such as inserting a power meter between the power source and the platform, or fine grained measurements using custom instrumented boards (with obvious limitations in scale). To collect the measurements necessary to analyze real scientific computing applications at large scale, an in-situ measurement capability must exist on a large scale capability class platform. In response to this challenge, we exploit the unique power measurement capabilities of the Cray XT architecture to gain an understanding of power use and the effects of tuning. We apply these capabilities at the operating system level by deterministically halting cores when idle. At the application level, we gain an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale (thousands of nodes), while simultaneously collecting current and voltage measurements on the hosting nodes. We examine the effects of both CPU and network bandwidth tuning and demonstrate energy savings opportunities of up to 39% with little or no impact on run-time performance. Capturing scale effects in our experimental results was key. Our results provide strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components, such as the network, to achieve energy efficient performance.

  13. HighHigh--Performance Computing Research atPerformance Computing Research at Oak Ridge National LaboratoryOak Ridge National Laboratory

    E-Print Network [OSTI]

    Engelmann, Christian

    Computing 1/47 · Nation's largest energy laboratory · Nation's largest science facility: · The $1.4 billion Science Laboratory within the U.S. Department of Energywithin the U.S. Department of Energy · Privately of Energy Bland_Jaguar_SC08 Peak performance 1.645 PF System memory 362 TB Disk space 10.7 PB Disk bandwidth

  14. DOE High Performance Computing Operational Review (HPCOR): Enabling Data-Driven Scientific Discovery at HPC Facilities

    SciTech Connect (OSTI)

    Gerber, Richard; Allcock, William; Beggio, Chris; Campbell, Stuart; Cherry, Andrew; Cholia, Shreyas; Dart, Eli; England, Clay; Fahey, Tim; Foertter, Fernanda; Goldstone, Robin; Hick, Jason; Karelitz, David; Kelly, Kaki; Monroe, Laura; Prabhat,; Skinner, David; White, Julia

    2014-10-17

    U.S. Department of Energy (DOE) High Performance Computing (HPC) facilities are on the verge of a paradigm shift in the way they deliver systems and services to science and engineering teams. Research projects are producing a wide variety of data at unprecedented scale and level of complexity, with community-specific services that are part of the data collection and analysis workflow. On June 18-19, 2014 representatives from six DOE HPC centers met in Oakland, CA at the DOE High Performance Operational Review (HPCOR) to discuss how they can best provide facilities and services to enable large-scale data-driven scientific discovery at the DOE national laboratories. The report contains findings from that review.

  15. High Performance Computing at TJNAF| U.S. DOE Office of Science...

    Office of Science (SC) Website

    Performance Computing at TJNAF Nuclear Physics (NP) NP Home About Research Facilities Science Highlights Benefits of NP Applications of Nuclear Science Applications of Nuclear...

  16. GridPACK Toolkit for Developing Power Grid Simulations on High Performance Computing Platforms

    SciTech Connect (OSTI)

    Palmer, Bruce J.; Perkins, William A.; Glass, Kevin A.; Chen, Yousu; Jin, Shuangshuang; Callahan, Charles D.

    2013-11-30

    This paper describes the GridPACK™ framework, which is designed to help power grid engineers develop modeling software capable of running on todays high performance computers. The framework contains modules for setting up distributed power grid networks, assigning buses and branches with arbitrary behaviors to the network, creating distributed matrices and vectors, using parallel linear and non-linear solvers to solve algebraic equations, and mapping functionality to create matrices and vectors based on properties of the network. In addition, the framework contains additional functionality to support IO and to manage errors.

  17. Investigating Operating System Noise in Extreme-Scale High-Performance Computing Systems using Simulation

    SciTech Connect (OSTI)

    Engelmann, Christian

    2013-01-01

    Hardware/software co-design for future-generation high-performance computing (HPC) systems aims at closing the gap between the peak capabilities of the hardware and the performance realized by applications (application-architecture performance gap). Performance profiling of architectures and applications is a crucial part of this iterative process. The work in this paper focuses on operating system (OS) noise as an additional factor to be considered for co-design. It represents the first step in including OS noise in HPC hardware/software co-design by adding a noise injection feature to an existing simulation-based co-design toolkit. It reuses an existing abstraction for OS noise with frequency (periodic recurrence) and period (duration of each occurrence) to enhance the processor model of the Extreme-scale Simulator (xSim) with synchronized and random OS noise simulation. The results demonstrate this capability by evaluating the impact of OS noise on MPI_Bcast() and MPI_Reduce() in a simulated future-generation HPC system with 2,097,152 compute nodes.

  18. High performance graphics processor based computed tomography reconstruction algorithms for nuclear and other large scale applications.

    SciTech Connect (OSTI)

    Jimenez, Edward Steven,

    2013-09-01

    The goal of this work is to develop a fast computed tomography (CT) reconstruction algorithm based on graphics processing units (GPU) that achieves significant improvement over traditional central processing unit (CPU) based implementations. The main challenge in developing a CT algorithm that is capable of handling very large datasets is parallelizing the algorithm in such a way that data transfer does not hinder performance of the reconstruction algorithm. General Purpose Graphics Processing (GPGPU) is a new technology that the Science and Technology (S&T) community is starting to adopt in many fields where CPU-based computing is the norm. GPGPU programming requires a new approach to algorithm development that utilizes massively multi-threaded environments. Multi-threaded algorithms in general are difficult to optimize since performance bottlenecks occur that are non-existent in single-threaded algorithms such as memory latencies. If an efficient GPU-based CT reconstruction algorithm can be developed; computational times could be improved by a factor of 20. Additionally, cost benefits will be realized as commodity graphics hardware could potentially replace expensive supercomputers and high-end workstations. This project will take advantage of the CUDA programming environment and attempt to parallelize the task in such a way that multiple slices of the reconstruction volume are computed simultaneously. This work will also take advantage of the GPU memory by utilizing asynchronous memory transfers, GPU texture memory, and (when possible) pinned host memory so that the memory transfer bottleneck inherent to GPGPU is amortized. Additionally, this work will take advantage of GPU-specific hardware (i.e. fast texture memory, pixel-pipelines, hardware interpolators, and varying memory hierarchy) that will allow for additional performance improvements.

  19. High performance systems

    SciTech Connect (OSTI)

    Vigil, M.B.

    1995-03-01

    This document provides a written compilation of the presentations and viewgraphs from the 1994 Conference on High Speed Computing given at the High Speed Computing Conference, {open_quotes}High Performance Systems,{close_quotes} held at Gleneden Beach, Oregon, on April 18 through 21, 1994.

  20. Towards High Availability for High-Performance Computing System Services: Accomplishments and Limitations

    E-Print Network [OSTI]

    Engelmann, Christian

    Research; U.S. Department of Energy. The work was performed in part at the Oak Ridge National Laboratory a Faculty Research Grant. The work at Oak Ridge National Laboratory and Tennessee Tech University was also partially sponsored by the Laboratory Directed Research and De- velopment Program of Oak Ridge National

  1. The Hartree Centre's on-demand high performance computing (HPC) service, enCORE, managed by channel partners OCF, has enabled

    E-Print Network [OSTI]

    The Hartree Centre's on-demand high performance computing (HPC) service, enCORE, managed by channel that create insights and value using high performance computing, big data analytics, simulation and modelling

  2. A Lightweight, High-performance I/O Management Package for Data-intensive Computing

    SciTech Connect (OSTI)

    Wang, Jun

    2011-06-22

    Our group has been working with ANL collaborators on the topic â??bridging the gap between parallel file system and local file systemâ?ť during the course of this project period. We visited Argonne National Lab -- Dr. Robert Rossâ??s group for one week in the past summer 2007. We looked over our current project progress and planned the activities for the incoming years 2008-09. The PI met Dr. Robert Ross several times such as HEC FSIO workshop 08, SCâ??08 and SCâ??10. We explored the opportunities to develop a production system by leveraging our current prototype to (SOGP+PVFS) a new PVFS version. We delivered SOGP+PVFS codes to ANL PVFS2 group in 2008.We also talked about exploring a potential project on developing new parallel programming models and runtime systems for data-intensive scalable computing (DISC). The methodology is to evolve MPI towards DISC by incorporating some functions of Google MapReduce parallel programming model. More recently, we are together exploring how to leverage existing works to perform (1) coordination/aggregation of local I/O operations prior to movement over the WAN, (2) efficient bulk data movement over the WAN, (3) latency hiding techniques for latency-intensive operations. Since 2009, we start applying Hadoop/MapReduce to some HEC applications with LANL scientists John Bent and Salman Habib. Another on-going work is to improve checkpoint performance at I/O forwarding Layer for the Road Runner super computer with James Nuetz and Gary Gridder at LANL. Two senior undergraduates from our research group did summer internships about high-performance file and storage system projects in LANL since 2008 for consecutive three years. Both of them are now pursuing Ph.D. degree in our group and will be 4th year in the PhD program in Fall 2011 and go to LANL to advance two above-mentioned works during this winter break. Since 2009, we have been collaborating with several computer scientists (Gary Grider, John bent, Parks Fields, James Nunez, Hsing-Bung Chen, etc) from HPC5 and James Ahrens from Advanced Computing Laboratory in Los Alamos National Laboratory. We hold a weekly conference and/or video meeting on advancing works at two fronts: the hardware/software infrastructure of building large-scale data intensive cluster and research publications. Our group members assist in constructing several onsite LANL data intensive clusters. Two parties have been developing software codes and research papers together using both sidesâ?? resources.

  3. High Performance Computing in the U.S. in An Analysis on the Basis of the TOP500 List

    E-Print Network [OSTI]

    Dongarra, Jack

    . Dongarra Computer Science Department University of Tennessee Knoxville, TN 37996-1301 and MathematicalHigh Performance Computing in the U.S. in 1995 An Analysis on the Basis of the TOP500 List Jack J Science Section Oak Ridge National Laboratory Oak Ridge, TN 37831-6367 dongarra@cs.utk.edu and Horst D

  4. Compiler Transformations for High-Performance Computing DAVID F. BACON, SUSAN L. GRAHAM, AND OLIVER J. SHARP

    E-Print Network [OSTI]

    Compiler Transformations for High-Performance Computing DAVID F. BACON, SUSAN L. GRAHAM, AND OLIVER, by NSF grant CDA-8722788, and by an IBM Resident Study Program Fellowship to David Bacon, Permission-0300/94/1200-0345 $03.50 ACM Computing Surveys, Vol. 26, No. 4, December 1994 #12;346 * David F. Bacon et al. CONTENTS

  5. Introduction to Big Data and High-Performance Computing Lecture 9:30 a.m., Tuesday

    E-Print Network [OSTI]

    Rhode Island, University of

    Introduction to Big Data and High-Performance Computing Lecture ­ 9:30 a.m., Tuesday Labs ­ 10:00 a capacity is set to 25 students. In order to best serve students with Big Data and HPC interests and needs Big Data. This need can be in any discipline (science, engineering, computer science, mathematics

  6. Implementing the Data Center Energy Productivity Metric in a High Performance Computing Data Center

    SciTech Connect (OSTI)

    Sego, Landon H.; Marquez, Andres; Rawson, Andrew; Cader, Tahir; Fox, Kevin M.; Gustafson, William I.; Mundy, Christopher J.

    2013-06-30

    As data centers proliferate in size and number, the improvement of their energy efficiency and productivity has become an economic and environmental imperative. Making these improvements requires metrics that are robust, interpretable, and practical. We discuss the properties of a number of the proposed metrics of energy efficiency and productivity. In particular, we focus on the Data Center Energy Productivity (DCeP) metric, which is the ratio of useful work produced by the data center to the energy consumed performing that work. We describe our approach for using DCeP as the principal outcome of a designed experiment using a highly instrumented, high-performance computing data center. We found that DCeP was successful in clearly distinguishing different operational states in the data center, thereby validating its utility as a metric for identifying configurations of hardware and software that would improve energy productivity. We also discuss some of the challenges and benefits associated with implementing the DCeP metric, and we examine the efficacy of the metric in making comparisons within a data center and between data centers.

  7. High-Performance Computing for Real-Time Grid Analysis and Operation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Chen, Yousu; Chavarría-Miranda, Daniel

    2013-10-31

    Power grids worldwide are undergoing an unprecedented transition as a result of grid evolution meeting information revolution. The grid evolution is largely driven by the desire for green energy. Emerging grid technologies such as renewable generation, smart loads, plug-in hybrid vehicles, and distributed generation provide opportunities to generate energy from green sources and to manage energy use for better system efficiency. With utility companies actively deploying these technologies, a high level of penetration of these new technologies is expected in the next 5-10 years, bringing in a level of intermittency, uncertainties, and complexity that the grid did not see nor design for. On the other hand, the information infrastructure in the power grid is being revolutionized with large-scale deployment of sensors and meters in both the transmission and distribution networks. The future grid will have two-way flows of both electrons and information. The challenge is how to take advantage of the information revolution: pull the large amount of data in, process it in real time, and put information out to manage grid evolution. Without addressing this challenge, the opportunities in grid evolution will remain unfulfilled. This transition poses grand challenges in grid modeling, simulation, and information presentation. The computational complexity of underlying power grid modeling and simulation will significantly increase in the next decade due to an increased model size and a decreased time window allowed to compute model solutions. High-performance computing is essential to enable this transition. The essential technical barrier is to vastly increase the computational speed so operation response time can be reduced from minutes to seconds and sub-seconds. The speed at which key functions such as state estimation and contingency analysis are conducted (typically every 3-5 minutes) needs to be dramatically increased so that the analysis of contingencies is both comprehensive and real time. An even bigger challenge is how to incorporate dynamic information into real-time grid operation. Today’s online grid operation is based on a static grid model and can only provide a static snapshot of current system operation status, while dynamic analysis is conducted offline because of low computational efficiency. The offline analysis uses a worst-case scenario to determine transmission limits, resulting in under-utilization of grid assets. This conservative approach does not necessarily lead to reliability. Many times, actual power grid scenarios are not studied, and they will push the grid over the edge and resulting in outages and blackouts. This chapter addresses the HPC needs in power grid analysis and operations. Example applications such as state estimation and contingency analysis are given to demonstrate the value of HPC in power grid applications. Future research directions are suggested for high performance computing applications in power grids to improve the transparency, efficiency, and reliability of power grids.

  8. Turner Construction is looking for interns at our Massachusetts Green High Performance Computing Center (MGHPCC) job site in Holyoke, MA. The ideal candidates would have the following qualifications

    E-Print Network [OSTI]

    Spence, Harlan Ernest

    Turner Construction is looking for interns at our Massachusetts Green High Performance Computing summer positions: May­June, July­August. ABOUT MASSACHUSETTS GREEN HIGH PERFORMANCE COMPUTING CENTER Engineer attdriscoll@tcco.com. Massachusetts Green High Performance Computing Center Intern Positions #12;

  9. SEPTEMBER 2011 VOLUME 4 NUMBER 3 IJSTHZ (ISSN 1939-1404) SPECIAL ISSUE ON HIGH PERFORMANCE COMPUTING IN EARTH OBSERVATION AND REMOTE SENSING

    E-Print Network [OSTI]

    Plaza, Antonio J.

    1939-1404) SPECIAL ISSUE ON HIGH PERFORMANCE COMPUTING IN EARTH OBSERVATION AND REMOTE SENSING Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing .................................... ................................................................ C. A. Lee, S. D. Gasster, A. Plaza, C.-I Chang, and B. Huang 508 High Performance Computing

  10. Development of high performance scientific components for interoperability of computing packages

    SciTech Connect (OSTI)

    Gulabani, Teena Pratap

    2008-12-01

    Three major high performance quantum chemistry computational packages, NWChem, GAMESS and MPQC have been developed by different research efforts following different design patterns. The goal is to achieve interoperability among these packages by overcoming the challenges caused by the different communication patterns and software design of each of these packages. A chemistry algorithm is hard to develop as well as being a time consuming process; integration of large quantum chemistry packages will allow resource sharing and thus avoid reinvention of the wheel. Creating connections between these incompatible packages is the major motivation of the proposed work. This interoperability is achieved by bringing the benefits of Component Based Software Engineering through a plug-and-play component framework called Common Component Architecture (CCA). In this thesis, I present a strategy and process used for interfacing two widely used and important computational chemistry methodologies: Quantum Mechanics and Molecular Mechanics. To show the feasibility of the proposed approach the Tuning and Analysis Utility (TAU) has been coupled with NWChem code and its CCA components. Results show that the overhead is negligible when compared to the ease and potential of organizing and coping with large-scale software applications.

  11. A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2

    SciTech Connect (OSTI)

    Villa, Oreste; Tumeo, Antonino; Ciraci, Selim; Daily, Jeffrey A.; Fuller, Jason C.

    2012-11-11

    Designing and planing next generation power grid sys- tems composed of large power distribution networks, monitoring and control networks, autonomous generators and consumers of power requires advanced simulation infrastructures. The objective is to predict and analyze in time the behavior of networks of systems for unexpected events such as loss of connectivity, malicious attacks and power loss scenarios. This ultimately allows one to answer questions such as: “What could happen to the power grid if ...”. We want to be able to answer as many questions as possible in the shortest possible time for the largest possible systems. In this paper we present a new High Performance Computing (HPC) oriented simulation infrastructure named Next Generation Network and System Simulator (NGNS2 ). NGNS2 allows for the distribution of a single simulation among multiple computing elements by using MPI and OpenMP threads. NGNS2 provides extensive configuration, fault tolerant and load balancing capabilities needed to simulate large and dynamic systems for long periods of time. We show the preliminary results of the simulator running approximately two million simulated entities both on a 64-node commodity Infiniband cluster and a 48-core SMP workstation.

  12. A Multi-core High Performance Computing Framework for Distribution Power Flow

    E-Print Network [OSTI]

    Franchetti, Franz

    for future computing hardware / software design. Motivated by the practical computation perfor- mance demands-phase unbalanced parameters, high R/X ratio and radial structure [1] [2] [3]. With the recent development of smart grid technologies and integration of renewable energy resources into distribution system

  13. National cyber defense high performance computing and analysis : concepts, planning and roadmap.

    SciTech Connect (OSTI)

    Hamlet, Jason R.; Keliiaa, Curtis M.

    2010-09-01

    There is a national cyber dilemma that threatens the very fabric of government, commercial and private use operations worldwide. Much is written about 'what' the problem is, and though the basis for this paper is an assessment of the problem space, we target the 'how' solution space of the wide-area national information infrastructure through the advancement of science, technology, evaluation and analysis with actionable results intended to produce a more secure national information infrastructure and a comprehensive national cyber defense capability. This cybersecurity High Performance Computing (HPC) analysis concepts, planning and roadmap activity was conducted as an assessment of cybersecurity analysis as a fertile area of research and investment for high value cybersecurity wide-area solutions. This report and a related SAND2010-4765 Assessment of Current Cybersecurity Practices in the Public Domain: Cyber Indications and Warnings Domain report are intended to provoke discussion throughout a broad audience about developing a cohesive HPC centric solution to wide-area cybersecurity problems.

  14. High-Performance Computer Modeling of the Cosmos-Iridium Collision

    SciTech Connect (OSTI)

    Olivier, S; Cook, K; Fasenfest, B; Jefferson, D; Jiang, M; Leek, J; Levatin, J; Nikolaev, S; Pertica, A; Phillion, D; Springer, K; De Vries, W

    2009-08-28

    This paper describes the application of a new, integrated modeling and simulation framework, encompassing the space situational awareness (SSA) enterprise, to the recent Cosmos-Iridium collision. This framework is based on a flexible, scalable architecture to enable efficient simulation of the current SSA enterprise, and to accommodate future advancements in SSA systems. In particular, the code is designed to take advantage of massively parallel, high-performance computer systems available, for example, at Lawrence Livermore National Laboratory. We will describe the application of this framework to the recent collision of the Cosmos and Iridium satellites, including (1) detailed hydrodynamic modeling of the satellite collision and resulting debris generation, (2) orbital propagation of the simulated debris and analysis of the increased risk to other satellites (3) calculation of the radar and optical signatures of the simulated debris and modeling of debris detection with space surveillance radar and optical systems (4) determination of simulated debris orbits from modeled space surveillance observations and analysis of the resulting orbital accuracy, (5) comparison of these modeling and simulation results with Space Surveillance Network observations. We will also discuss the use of this integrated modeling and simulation framework to analyze the risks and consequences of future satellite collisions and to assess strategies for mitigating or avoiding future incidents, including the addition of new sensor systems, used in conjunction with the Space Surveillance Network, for improving space situational awareness.

  15. High Performance Heterogeneous Acceleration: Exploiting Data Parallelism and Beyond

    E-Print Network [OSTI]

    Grigorian, Beayna

    2014-01-01

    2010. [5] Altera. High Performance Computing Applications.Journal of High Performance Computing Applications, 26(2):Conference on High Performance Computing, pages 109–118,

  16. Secure, Efficient Data Transport and Replica Management for High-Performance Data-Intensive Computing_

    E-Print Network [OSTI]

    Chervenak, Ann

    Secure, Efficient Data Transport and Replica Management for High-Performance Data environment, we present the design and initial performance measurements of our GridFTP protocol for efficient- energy physics and climate modeling, we conclude that these applications require two fundamental data

  17. Evaluation of High-Performance Computing Software Shirley Browne Jack Dongarray Tom Rowanz

    E-Print Network [OSTI]

    Dongarra, Jack

    are applying this approach to the Parallel Tools Library PTLIB, a new software repository for paral- lel di cult to nd elsewhere. 1 Introduction Selecting the appropriate software for a high- performanceTools Library PTLIB, a new software repository for paral- lelsystems software and tools, andHPC-Netlib, a high

  18. In Proceedings of the 17th IEEE International Symposium on High Performance Computer Architecture (HPCA), 2011

    E-Print Network [OSTI]

    Memik, Gokhan

    DRAM modules can rise to over 95°C. Another important property of DRAM temperature is the large, these methods exacerbate the problems of high power consumption and operating temperatures in DRAM systems]. These high temperatures have adverse effects on the performance and reliability of the DRAM. When

  19. High-performance computing centres use a great deal of electricity. In order to run its new com-

    E-Print Network [OSTI]

    - puter centre in Lugano as energy-efficiently and cost-effectively as possible, CSCS is using the na to be used. On the contrary, the plan is to use the energy generated as it falls to produce electricityHigh-performance computing centres use a great deal of electricity. In order to run its new com

  20. High Performance Computing in the U.S. in An Analysis on the Basis of the TOP500 List

    E-Print Network [OSTI]

    Dongarra, Jack

    High Performance Computing in the U.S. in 1995 An Analysis on the Basis of the TOP500 List Jack J-1389 November 17, 1995 Abstract In 1993 for the rst time a list of the top 500 supercomputer sites worldwide has been made available. The TOP500 list allows a much more detailed and well founded analysis of the state

  1. MICMIC--GPU:GPU: Hi hHi h P f C tiP f C tiHighHigh--Performance ComputingPerformance Computing

    E-Print Network [OSTI]

    Mueller, Klaus

    )Hardware (GPUs)Hardware (GPUs)Hardware (GPUs) ReferencesReferences Klaus Mueller Wei Xu Ziyi Zheng Fang Xu Computer Science C f Vi l C i Klaus Mueller, Wei Xu, Ziyi Zheng Fang Xu Siemens USA Research Center/EUROGRAPHICS Conference on Graphics Hardware pp 41-50, 2003. C. Rezk-Salama, K. Engel, M. Bauer, G. Greiner, and T. Ertl

  2. High performance computing and communications Grand Challenges program: Computational structural biology. Final report, August 15, 1992--January 14, 1997

    SciTech Connect (OSTI)

    Solomon, J.E.

    1997-10-02

    The Grand Challenge project consists of two elements: (1) a hierarchical methodology for 3D protein structure prediction; and (2) development of a parallel computing environment, the Protein Folding Workbench, for carrying out a variety of protein structure prediction/modeling computations. During the first three years of this project the author focused on the use of selected proteins from the Brookhaven Protein Data Base (PDB) of known structures to provide validation of the prediction algorithms and their software implementation, both serial and parallel. Two proteins in particular have been selected to provide the project with direct interaction with experimental molecular biology. A variety of site-specific mutagenesis experiments are performed on these two proteins to explore the many-to-one mapping characteristics of sequence to structure.

  3. On the user-scheduler relationship in high-performance computing

    E-Print Network [OSTI]

    Lee, Cynthia Bailey

    2009-01-01

    example, the Cray-2 [4] super- computer and its contemporaryweeks of operation of the super- computer. Comparing to theis shared with other super- computer schedulers, namely the

  4. The National Scalable Cluster Project: Three Lessons about High Performance Data Mining and Data Intensive Computing

    E-Print Network [OSTI]

    Grossman, Robert

    The National Scalable Cluster Project: Three Lessons about High Performance Data Mining and Data are becoming common. In this paper, we describe three basic lessons we have learned about data mining and data to the data. By mining data, we mean looking for patterns, changes, associations, anomalies and other

  5. High performance bioinformatics and computational biology on general-purpose graphics processing units 

    E-Print Network [OSTI]

    Ling, Cheng

    2012-06-25

    Bioinformatics and Computational Biology (BCB) is a relatively new multidisciplinary field which brings together many aspects of the fields of biology, computer science, statistics, and engineering. Bioinformatics ...

  6. Money for Research, Not for Energy Bills: Finding Energy and Cost Savings in High Performance Computer Facility Designs

    SciTech Connect (OSTI)

    Drewmark Communications; Sartor, Dale; Wilson, Mark

    2010-07-01

    High-performance computing facilities in the United States consume an enormous amount of electricity, cutting into research budgets and challenging public- and private-sector efforts to reduce energy consumption and meet environmental goals. However, these facilities can greatly reduce their energy demand through energy-efficient design of the facility itself. Using a case study of a facility under design, this article discusses strategies and technologies that can be used to help achieve energy reductions.

  7. Decoupling algorithms from the organization of computation for high performance image processing

    E-Print Network [OSTI]

    Ragan-Kelley, Jonathan Millard

    2014-01-01

    Future graphics and imaging applications-from self-driving cards, to 4D light field cameras, to pervasive sensing-demand orders of magnitude more computation than we currently have. This thesis argues that the efficiency ...

  8. SBAC-PAD'2000 12th Symposium on Computer Architecture and High Performance Computing -S~ao Pedro -SP 83

    E-Print Network [OSTI]

    Cruz, Frederico

    in many con- texts such as telecommunication, transportation, or electric power sys- tems. A new model instruction stream, mul- tiple data stream) parallel computation systems. Thus, the implemen- tations are very problems I. INTRODUCTION A. Motivation and Problem Statement In order to guarantee quality of service (Qo

  9. Coordinated Fault-Tolerance for High-Performance Computing Final Project Report

    SciTech Connect (OSTI)

    Panda, Dhabaleswar Kumar; Beckman, Pete

    2011-07-28

    With the Coordinated Infrastructure for Fault Tolerance Systems (CIFTS, as the original project came to be called) project, our aim has been to understand and tackle the following broad research questions, the answers to which will help the HEC community analyze and shape the direction of research in the field of fault tolerance and resiliency on future high-end leadership systems. Will availability of global fault information, obtained by fault information exchange between the different HEC software on a system, allow individual system software to better detect, diagnose, and adaptively respond to faults? If fault-awareness is raised throughout the system through fault information exchange, is it possible to get all system software working together to provide a more comprehensive end-to-end fault management on the system? #15; What are the missing fault-tolerance features that widely used HEC system software lacks today that would inhibit such software from taking advantage of systemwide global fault information? #15; What are the practical limitations of a systemwide approach for end-to-end fault management based on fault awareness and coordination? #15; What mechanisms, tools, and technologies are needed to bring about fault awareness and coordination of responses on a leadership-class system? #15; What standards, outreach, and community interaction are needed for adoption of the concept of fault awareness and coordination for fault management on future systems? Keeping our overall objectives in mind, the CIFTS team has taken a parallel fourfold approach. #15; Our central goal was to design and implement a light-weight, scalable infrastructure with a simple, standardized interface to allow communication of fault-related information through the system and facilitate coordinated responses. This work led to the development of the Fault Tolerance Backplane (FTB) publish-subscribe API specification, together with a reference implementation and several experimental implementations on top of existing publish-subscribe tools. #15; We enhanced the intrinsic fault tolerance capabilities representative implementations of a variety of key HPC software subsystems and integrated them with the FTB. Targeting software subsystems included: MPI communication libraries, checkpoint/restart libraries, resource managers and job schedulers, and system monitoring tools. #15; Leveraging the aforementioned infrastructure, as well as developing and utilizing additional tools, we have examined issues associated with expanded, end-to-end fault response from both system and application viewpoints. From the standpoint of system operations, we have investigated log and root cause analysis, anomaly detection and fault prediction, and generalized notification mechanisms. Our applications work has included libraries for fault-tolerance linear algebra, application frameworks for coupled multiphysics applications, and external frameworks to support the monitoring and response for general applications. #15; Our final goal was to engage the high-end computing community to increase awareness of tools and issues around coordinated end-to-end fault management.

  10. A Low Latency Optical Switch for High Performance Computing with Minimized Processor Energy Load

    E-Print Network [OSTI]

    Liu, Shiyun; Cheng, Qixiang; Madarbux, Muhammad Ridwan; Wonfor, Adrian; Penty, Richard V.; White, Ian H.; Watts, Philip M.

    2015-03-01

    grant and an EPSRC Fel lowship grant to Phi l ip Wat ts. Both Universi ty Col lege London and the Universi ty of Cambr idge are members of GreenTouch. REFERENCES [1] L .A.Barroso, J.Cl idaras, U.Hölzle, â??â??The Datacenter as a Computer â...

  11. Comparison of Genomes using High-Performance Parallel Computing N. F. Almeida Jr

    E-Print Network [OSTI]

    Song, Siang Wun

    - thomonas axonopodis pv. citri and Xanthomonas campes- tris pv. campestris, each with more than five million of a cluster of low-cost micro- computers, propose a parallel solution to this problem, and show its genomes Xanthomonas axonopodis pv. citri (Xac) and Xanthomonas campestris pv. campestris (Xcc

  12. Zero-Carbon Cloud: A Volatile Resource for High-Performance Computing Andrew A. Chien

    E-Print Network [OSTI]

    Krintz, Chandra

    to exploit the volatile power efficiently. Keywords-Data Center; Stranded Power; Green computing; sustainable deployment of renewable power generation creates a growing opportunity in "stranded power", power that is generated a close to zero-cost, but not usable by the power grid. We propose to use this stranded power

  13. Preprint of the paper "High performance computing for the analysis and postprocessing of earthing

    E-Print Network [OSTI]

    Colominas, Ignasi

    in certain places of the substation site. Its main objective is the transport and dissipation of electrical been systematically reported, such as the large computational costs required in the anal- ysis of real the construction of the substation produces a stratified soil, or as a con- sequence of a chemical treatment

  14. The 18th International Symposium on High Performance Computer Architecture (HPCA-18)

    E-Print Network [OSTI]

    Koppelman, David M.

    scaling * Issues with deeply scaled CMOS * Design complexity and verification * Power, energy community on the challenges facing the industry and to encourage them to investigate solutions. The session in the next-generation computer systems. Topics of interest include, but are not limited to: * Heterogeneous

  15. AbstractAbstract Vendors of high performance computers are converging towards an

    E-Print Network [OSTI]

    coordinates ­ (,,) = - /q ­ larger time step: no high order k|| modes ­ order of magnitude saving/high bandwidth communications between threads via shared memory · Can be used within each MPI process · Save

  16. High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation

    SciTech Connect (OSTI)

    Peterka, Tom; Morozov, Dmitriy; Phillips, Carolyn

    2014-11-14

    Computing a Voronoi or Delaunay tessellation from a set of points is a core part of the analysis of many simulated and measured datasets: N-body simulations, molecular dynamics codes, and LIDAR point clouds are just a few examples. Such computational geometry methods are common in data analysis and visualization; but as the scale of simulations and observations surpasses billions of particles, the existing serial and shared-memory algorithms no longer suffice. A distributed-memory scalable parallel algorithm is the only feasible approach. The primary contribution of this paper is a new parallel Delaunay and Voronoi tessellation algorithm that automatically determines which neighbor points need to be exchanged among the subdomains of a spatial decomposition. Other contributions include periodic and wall boundary conditions, comparison of our method using two popular serial libraries, and application to numerous science datasets.

  17. Complex matrix multiplication operations with data pre-conditioning in a high performance computing architecture

    DOE Patents [OSTI]

    Eichenberger, Alexandre E; Gschwind, Michael K; Gunnels, John A

    2014-02-11

    Mechanisms for performing a complex matrix multiplication operation are provided. A vector load operation is performed to load a first vector operand of the complex matrix multiplication operation to a first target vector register. The first vector operand comprises a real and imaginary part of a first complex vector value. A complex load and splat operation is performed to load a second complex vector value of a second vector operand and replicate the second complex vector value within a second target vector register. The second complex vector value has a real and imaginary part. A cross multiply add operation is performed on elements of the first target vector register and elements of the second target vector register to generate a partial product of the complex matrix multiplication operation. The partial product is accumulated with other partial products and a resulting accumulated partial product is stored in a result vector register.

  18. Climate Modeling using High-Performance Computing The Center for Applied Scientific Computing (CASC) and the LLNL Climate and Carbon

    E-Print Network [OSTI]

    and NCAR in the development of a comprehensive, earth systems model. This model incorporates the most-performance climate models. Through the addition of relevant physical processes, we are developing an earth systems modeling capability as well. Our collaborators in climate research include the National Center

  19. HPGMG 1.0: A Benchmark for Ranking High Performance Computing Systems

    SciTech Connect (OSTI)

    Adams, Mark; Brown, Jed; Shalf, John; Straalen, Brian Van; Strohmaier, Erich; Williams, Sam

    2014-05-05

    This document provides an overview of the benchmark ? HPGMG ? for ranking large scale general purpose computers for use on the Top500 list [8]. We provide a rationale for the need for a replacement for the current metric HPL, some background of the Top500 list and the challenges of developing such a metric; we discuss our design philosophy and methodology, and an overview of the specification of the benchmark. The primary documentation with maintained details on the specification can be found at hpgmg.org and the Wiki and benchmark code itself can be found in the repository https://bitbucket.org/hpgmg/hpgmg.

  20. Data Management and Transfer in High-Performance Computational Grid Environments_

    E-Print Network [OSTI]

    Chervenak, Ann

    and simulations in scientific disciplines such as high-energy physics, climate modeling, earthquake engineering, for example, in experimental physics, where the data in question is generated by accelerators

  1. Durability Assessment of an Arch Dam using Inverse Analysis with Neural Networks and High Performance Computing.

    E-Print Network [OSTI]

    Coutinho, Alvaro L. G. A.

    Durability Assessment of an Arch Dam using Inverse Analysis with Neural Networks and High de Brasília diannemv@guarany.cpd.unb.br Abstract: In the present work, an analysis of the Funil dam, a double curvature arch dam placed in the state of Rio de Janeiro, Brazil, is presented. The considered

  2. High performance computing aspects of a dimension independent semi-Lagrangian discontinuous Galerkin code

    E-Print Network [OSTI]

    Einkemmer, Lukas

    2015-01-01

    The recently developed semi-Lagrangian discontinuous Galerkin approach is used to discretize hyperbolic partial differential equations (usually first order equations). Since these methods are conservative, local in space, and able to limit numerical diffusion, they are considered a promising alternative to more traditional semi-Lagrangian schemes (which are usually based on polynomial or spline interpolation). In this paper, we consider a parallel implementation of a semi-Lagrangian discontinuous Galerkin method for distributed memory systems (so-called clusters). Both strong and weak scaling studies are performed on the Vienna Scientific Cluster 2 (VSC-2). In the case of weak scaling, up to 8192 cores, we observe a parallel efficiency above 0.89 for both two and four dimensional problems. Strong scaling results show good scalability to at least 1024 cores (we consider problems that can be run on a single processor in reasonable time). In addition, we study the scaling of a two dimensional Vlasov--Poisson sol...

  3. High Performance Computing at TJNAF| U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe23-24, 2011 High Energy Physics AdvisoryScience

  4. Appears in the 20th International Symposium on High Performance Computer Architecture (HPCA) Orlando, Florida, February 17-19, 2014

    E-Print Network [OSTI]

    Sorin, Daniel J.

    Abstract Dynamic power management (DPM) is critical to maximizing the performance of systems ranging from Introduction For the computer systems of today and tomorrow, the limiting constraint is power. Computer that the scheme behaves correctly in all possible situations. Furthermore, as system sizes grow, verification

  5. Harnessing the Department of Energy’s High-Performance Computing Expertise to Strengthen the U.S. Chemical Enterprise

    SciTech Connect (OSTI)

    Dixon, David A.; Dupuis, Michel; Garrett, Bruce C.; Neaton, Jeffrey B.; Plata, Charity; Tarr, Matthew A.; Tomb, Jean-Francois; Golab, Joseph T.

    2012-01-17

    High-performance computing (HPC) is one area where the DOE has developed extensive expertise and capability. However, this expertise currently is not properly shared with or used by the private sector to speed product development, enable industry to move rapidly into new areas, and improve product quality. Such use would lead to substantial competitive advantages in global markets and yield important economic returns for the United States. To stimulate the dissemination of DOE's HPC expertise, the Council for Chemical Research (CCR) and the DOE jointly held a workshop on this topic. Four important energy topic areas were chosen as the focus of the meeting: Biomass/Bioenergy, Catalytic Materials, Energy Storage, and Photovoltaics. Academic, industrial, and government experts in these topic areas participated in the workshop to identify industry needs, evaluate the current state of expertise, offer proposed actions and strategies, and forecast the expected benefits of implementing those strategies.

  6. Published in proceedings of the 1996 EUROSIM Int'l Conf., June 10--12, 1996, Delft, The Netherlands, pp. 421--428. Automatic Code Generation for High Performance Computing in

    E-Print Network [OSTI]

    van Engelen, Robert A.

    , The Netherlands, pp. 421--428. Automatic Code Generation for High Performance Computing in Environmental Modeling Robert van Engelen a#+ , Lex Wolters a+# , and Gerard Cats b# a High Performance Computing Division, Dept: cats@knmi.nl In this paper we will discuss automatic code generation for high performance computer

  7. Center for High-End Computing Systems

    E-Print Network [OSTI]

    Butt, Ali R.

    /Vision/Goals · " ... world-class computer systems research in the service of high-end computing." · A consortium of CS-aware computing: frameworks for power, energy, and thermal measurement, analysis, and optimization · Performance

  8. High Performance Liquid Chromatography

    E-Print Network [OSTI]

    Nizkorodov, Sergey

    HPLC MEASUREMENT OF POLYCYCLIC AROMATIC HYDROCARBONS IN CIGARETTE SMOKE INTRODUCTION Even thoughHPLC - 1 High Performance Liquid Chromatography HPLC MEASUREMENT OF POLYCYCLIC AROMATIC HYDROCARBONS IN CIGARETTE SMOKE Last updated: June 17, 2014 #12;HPLC - 2 High Performance Liquid Chromatography

  9. Coordinated resource management for guaranteed high performance and efficient utilization in Lambda-Grids

    E-Print Network [OSTI]

    Taesombut, Nut

    2007-01-01

    Journal of High Performance Computing Applications, AugustConference on High Performance Computing and Communication (Conference on High Performance Computing and Networking (SC’

  10. High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-DoseOptionsthroughput spectrometerEnergyChemistry

  11. SU-E-T-531: Performance Evaluation of Multithreaded Geant4 for Proton Therapy Dose Calculations in a High Performance Computing Facility

    SciTech Connect (OSTI)

    Shin, J; Coss, D; McMurry, J; Farr, J [St. Jude Children's Research Hospital, Memphis, TN (United States); Faddegon, B [UC San Francisco, San Francisco, CA (United States)

    2014-06-01

    Purpose: To evaluate the efficiency of multithreaded Geant4 (Geant4-MT, version 10.0) for proton Monte Carlo dose calculations using a high performance computing facility. Methods: Geant4-MT was used to calculate 3D dose distributions in 1×1×1 mm3 voxels in a water phantom and patient's head with a 150 MeV proton beam covering approximately 5×5 cm2 in the water phantom. Three timestamps were measured on the fly to separately analyze the required time for initialization (which cannot be parallelized), processing time of individual threads, and completion time. Scalability of averaged processing time per thread was calculated as a function of thread number (1, 100, 150, and 200) for both 1M and 50 M histories. The total memory usage was recorded. Results: Simulations with 50 M histories were fastest with 100 threads, taking approximately 1.3 hours and 6 hours for the water phantom and the CT data, respectively with better than 1.0 % statistical uncertainty. The calculations show 1/N scalability in the event loops for both cases. The gains from parallel calculations started to decrease with 150 threads. The memory usage increases linearly with number of threads. No critical failures were observed during the simulations. Conclusion: Multithreading in Geant4-MT decreased simulation time in proton dose distribution calculations by a factor of 64 and 54 at a near optimal 100 threads for water phantom and patient's data respectively. Further simulations will be done to determine the efficiency at the optimal thread number. Considering the trend of computer architecture development, utilizing Geant4-MT for radiotherapy simulations is an excellent cost-effective alternative for a distributed batch queuing system. However, because the scalability depends highly on simulation details, i.e., the ratio of the processing time of one event versus waiting time to access for the shared event queue, a performance evaluation as described is recommended.

  12. Morgan Kaufmann is pleased to present material from a preliminary draft of High Performance Distributed Computing: Building a Computational Grid ; the

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    in units of scenarios per day, wind patterns per week, instructions sets per month, or crystal of phenomena including among others diesel engines, neural networks, high energy physics events, computer

  13. What is High Performance UnionCollegeAlbanyWorkshopon

    E-Print Network [OSTI]

    Barr, Valerie

    What is High Performance Computing? UnionCollegeAlbanyWorkshopon "High Performance Computing IN 47404 gcf@indiana.edu http://www.infomall.org #12;What is High Performance Computing? The meaning of this was clear 20 years ago when we were planning/starting the HPCC (High Performance Computing and Communication

  14. High Performance Electronic Structure Engineering: Large Scale...

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

    High Performance Electronic Structure Engineering: Large Scale GW Calculations Event Sponsor: Argonne Leadership Computing Facility Seminar Start Date: Aug 7 2015 - 10:00am...

  15. High-Performance Engineering Optimization: Applications, Algorithms...

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

    High-Performance Engineering Optimization: Applications, Algorithms, and Adoption Event Sponsor: Mathematics and Computer Science Division Start Date: Aug 19 2015 - 10:30am...

  16. REU Site: Interdisciplinary Program in High Performance Computing at UMBC www.umbc.edu/hpcreu Department of Mathematics and Statistics University of Maryland, Baltimore County

    E-Print Network [OSTI]

    Suri, Manil

    .umbc.edu/hpcreu © Department of Mathematics and Statistics · University of Maryland, Baltimore County 1000 Hilltop Circle, Baltimore, MD 21250 · 410-455-2412 UMBC is an Equal Opportunity and Affirmative Action Institution REU Site: Interdisciplinary Program in High Performance Computing University of Maryland, Baltimore County (UMBC) Baltimore

  17. Java Programming for High Performance Numerical Computing J. E. Moreira S. P. Midkiff M. Gupta P. V. Artigas M. Snir R. D. Lawrence

    E-Print Network [OSTI]

    Goldstein, Seth Copen

    Java Programming for High Performance Numerical Computing J. E. Moreira S. P. Midkiff M. Gupta P. V for enhancing Web content, Java has taken off as a serious general­ purpose programming language. Industry and academia alike have expressed great interest in using Java as a programming language for scientific

  18. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E

    2012-08-10

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  19. High Performance Sustainable Building

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

    2011-11-09

    This Guide provides approaches for implementing the High Performance Sustainable Building (HPSB) requirements of DOE Order 413.3B, Program and Project Management for the Acquisition of Capital Assets. Supersedes DOE G 413.3-6.

  20. Thermoelectrics Partnership: High Performance Thermoelectric...

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

    High Performance Thermoelectric Waste Heat Recovery System Based on Zintl Phase Materials with Embedded Nanoparticles Thermoelectrics Partnership: High Performance Thermoelectric...

  1. High Performance Window Attachments

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High PerformancePerformance

  2. CMS Computing: Performance and Outlook

    E-Print Network [OSTI]

    Kenneth Bloom; for the CMS Collaboration

    2011-10-02

    After years of development, the CMS distributed computing system is now in full operation. The LHC continues to set records for instantaneous luminosity, and CMS continues to record data at 300 Hz. Because of the intensity of the beams, there are multiple proton-proton interactions per beam crossing, leading to larger and larger event sizes and processing times. The CMS computing system has responded admirably to these challenges. We present the current status of the system, describe the recent performance, and discuss the challenges ahead and how we intend to meet them.

  3. High Performance Sustainable Building

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

    2008-06-20

    The guide supports DOE O 413.3A and provides useful information on the incorporation of high performance sustainable building principles into building-related General Plant Projects and Institutional General Plant Projects at DOE sites. Canceled by DOE G 413.3-6A. Does not cancel other directives.

  4. High Performance Factory Built Housing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High Performance Computing DataHigh

  5. WARPP -A Toolkit for Simulating High-Performance Parallel Scientific Codes

    E-Print Network [OSTI]

    Jarvis, Stephen

    the High Performance Computing (HPC) community, including increasing levels of con- currency (threads, Simulation Keywords Application Performance Modelling, Simulation, High Performance Computing 1. INTRODUCTION

  6. A project operated by RIKEN as part of the Japanese Ministry of Education, Culture, Sports, Science & Technology's High Performance

    E-Print Network [OSTI]

    Fukai, Tomoki

    & Technology's High Performance Computing Infrastructure (HPCI) program Supercomputational Life Science

  7. High Performance Buildings Database

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The High Performance Buildings Database is a shared resource for the building industry, a unique central repository of in-depth information and data on high-performance, green building projects across the United States and abroad. The database includes information on the energy use, environmental performance, design process, finances, and other aspects of each project. Members of the design and construction teams are listed, as are sources for additional information. In total, up to twelve screens of detailed information are provided for each project profile. Projects range in size from small single-family homes or tenant fit-outs within buildings to large commercial and institutional buildings and even entire campuses. The database is a data repository as well. A series of Web-based data-entry templates allows anyone to enter information about a building project into the database. Once a project has been submitted, each of the partner organizations can review the entry and choose whether or not to publish that particular project on its own Web site.

  8. Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.

    SciTech Connect (OSTI)

    Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

    2011-02-01

    Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

  9. High Performance www.rrze.uni-erlangen.de

    E-Print Network [OSTI]

    Fiebig, Peter

    High Performance Computing at RRZE 2008 HPCatRRZE www.rrze.uni-erlangen.de #12;G. Hager, T. Zeiser and G. Wellein: Concepts of High Performance Computing. In: Fehske et al. Lect. Notes Phys. 739, 681 Optimization Techniques for the Hitachi SR8000 architecture. In: A. Bode (Ed.) : High Performance Computing

  10. A Component Architecture for High-Performance Computing David E. Bernholdt, Wael R. Elwasif, and James A. Kohl

    E-Print Network [OSTI]

    Ramanujam, J. "Ram"

    , and James A. Kohl {bernholdtde,elwasifwr,kohlja}@ornl.gov Computer Science and Mathematics Division Oak Ridge National Laboratory P. O. Box 2008 Oak Ridge, TN 37831-6367 USA Thomas G. W. Epperly tepperly

  11. Computational study of power conversion and luminous efficiency performance for

    E-Print Network [OSTI]

    Demir, Hilmi Volkan

    Computational study of power conversion and luminous efficiency performance for semiconductor, Singapore 639798, Singapore *volkan@stanfordalumni.org Abstract: We present power conversion efficiency (PCE) and luminous efficiency (LE) performance levels of high photometric quality white LEDs integrated with quantum

  12. ENGINES OF DISCOVERY: THE 21ST CENTURY REVOLUTION THE LONG RANGE PLAN FOR HIGH PERFORMANCE COMPUTING IN CANADA

    E-Print Network [OSTI]

    Schaeffer, Jonathan

    Plan Advantages for the researcher · Access: clear opportunities for obtaining access to powerful-critical research projects (mitigates funding-cycle delays and uncertainties) · Sustainability: access for ambitious control for powerful desktop and group computing facilities Advantages for the federal and provincial

  13. Computational investigation of blast survivability and off-road performance of an up-armoured high-mobility

    E-Print Network [OSTI]

    Grujicic, Mica

    analysis, the kinematic and structural responses (including large- scale rotation and deformation, buckling of Mechanical Engineering, Clemson University, Clemson, SC, USA The manuscript was received on 10 November 2008 of a landmine were analysed computationally using the general-purpose transient non-linear dynamics analysis

  14. System Software and Tools for High Performance Computing Environments: A report on the findings of the Pasadena Workshop, April 14--16, 1992

    SciTech Connect (OSTI)

    Sterling, T. [Universities Space Research Association, Washington, DC (United States); Messina, P. [Jet Propulsion Lab., Pasadena, CA (United States); Chen, M. [Yale Univ., New Haven, CT (United States)] [and others

    1993-04-01

    The Pasadena Workshop on System Software and Tools for High Performance Computing Environments was held at the Jet Propulsion Laboratory from April 14 through April 16, 1992. The workshop was sponsored by a number of Federal agencies committed to the advancement of high performance computing (HPC) both as a means to advance their respective missions and as a national resource to enhance American productivity and competitiveness. Over a hundred experts in related fields from industry, academia, and government were invited to participate in this effort to assess the current status of software technology in support of HPC systems. The overall objectives of the workshop were to understand the requirements and current limitations of HPC software technology and to contribute to a basis for establishing new directions in research and development for software technology in HPC environments. This report includes reports written by the participants of the workshop`s seven working groups. Materials presented at the workshop are reproduced in appendices. Additional chapters summarize the findings and analyze their implications for future directions in HPC software technology development.

  15. Java programming for high-performance

    E-Print Network [OSTI]

    Goldstein, Seth Copen

    language to solv- ing large computational problems in science and en- gineering. Unless these issuesJava programming for high-performance numerical computing by J. E. Moreira S. P. Midkiff M. Gupta PTM language has taken off as a serious general-purpose programming language. Industry and academia alike have

  16. Large Scale Production Computing and Storage Requirements for High Energy Physics: Target 2017

    E-Print Network [OSTI]

    Gerber, Richard

    2014-01-01

    in the use of High Performance Computing (HPC) and in factNERSC is the primary high-performance computing facility forthree major High Performance Computing Centers: NERSC and

  17. Using High Performance Computing to Examine the Processes of Neurogenesis Underlying Pattern Separation and Completion of Episodic Information.

    SciTech Connect (OSTI)

    Aimone, James Bradley; Bernard, Michael Lewis; Vineyard, Craig Michael; Verzi, Stephen Joseph

    2014-10-01

    Adult neurogenesis in the hippocampus region of the brain is a neurobiological process that is believed to contribute to the brain's advanced abilities in complex pattern recognition and cognition. Here, we describe how realistic scale simulations of the neurogenesis process can offer both a unique perspective on the biological relevance of this process and confer computational insights that are suggestive of novel machine learning techniques. First, supercomputer based scaling studies of the neurogenesis process demonstrate how a small fraction of adult-born neurons have a uniquely larger impact in biologically realistic scaled networks. Second, we describe a novel technical approach by which the information content of ensembles of neurons can be estimated. Finally, we illustrate several examples of broader algorithmic impact of neurogenesis, including both extending existing machine learning approaches and novel approaches for intelligent sensing.

  18. Liquid Cooling v. Air Cooling Evaluation in the Maui High-Performance...

    Office of Environmental Management (EM)

    Cooling Evaluation in the Maui High-Performance Computing Center Liquid Cooling v. Air Cooling Evaluation in the Maui High-Performance Computing Center Study evaluates the...

  19. European Conference on Parallel and Distributed Computing (Euro-Par) Workshop on Virtualization in High-Performance Cluster and Grid Computing (VHPC)

    E-Print Network [OSTI]

    Engelmann, Christian

    Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA #12;2/24 OAK RIDGE NATIONAL LABORATORY U. S. DEPARTMENT OF ENERGY European Conference Department of Energy - Over $1 billion budget, over 4000 employees · Oak Ridge National Laboratory has the 2

  20. Economic Model For a Return on Investment Analysis of United States Government High Performance Computing (HPC) Research and Development (R & D) Investment

    SciTech Connect (OSTI)

    Joseph, Earl C.; Conway, Steve; Dekate, Chirag

    2013-09-30

    This study investigated how high-performance computing (HPC) investments can improve economic success and increase scientific innovation. This research focused on the common good and provided uses for DOE, other government agencies, industry, and academia. The study created two unique economic models and an innovation index: 1 A macroeconomic model that depicts the way HPC investments result in economic advancements in the form of ROI in revenue (GDP), profits (and cost savings), and jobs. 2 A macroeconomic model that depicts the way HPC investments result in basic and applied innovations, looking at variations by sector, industry, country, and organization size. ? A new innovation index that provides a means of measuring and comparing innovation levels. Key findings of the pilot study include: IDC collected the required data across a broad set of organizations, with enough detail to create these models and the innovation index. The research also developed an expansive list of HPC success stories.

  1. Global Scientific Information and Computing Center, Tokyo Institute of Technology Large-Scale GPU-Equipped High-Performance Compute Nodes

    E-Print Network [OSTI]

    Furui, Sadaoki

    .562 PFLOPS Total: 5.787 PFLOPS Memory: 116 TB Compute N (2 CPU 3 #12;SMX SMX SMX SMX SMX SMX SMX SMX PCI DVI PCI 8 NIC1 NIC2 16 Gen2 8 Gen2 4 Gen2QPI Intel Xeon X5670 ×2 CPU0 2 1 0 1 0 Tylersburg- 36D ESI 0 RJ45 Intelkawela 82576 PCI-E SLOT PCI-E SLOT PCI-E SLOT PCI-E SLOT GPU GPU GPU PCI-E Riser USB 6 SATA

  2. Performance evaluation of scalable parallel computing networks 

    E-Print Network [OSTI]

    Wilkinson, Robert Todd

    1996-01-01

    Performance analysis is a widely accepted technique used by many computer system designers. It can predict actual system performance, while helping to identify problems in the design or areas for improvement. Furthermore, if the simulation model...

  3. Using High Performance Libraries

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

    by the QPI (Quick Path Interconnect) links). Using the QPI to simulate the slow memory (DDR memory) while using the memory on the near socket as the high bandwidth memory (MCDRAM...

  4. Creating high performance enterprises

    E-Print Network [OSTI]

    Stanke, Alexis K. (Alexis Kristen), 1977-

    2006-01-01

    How do enterprises successfully conceive, design, deliver, and operate large-scale, engineered systems? These large-scale projects often involve high complexity, significant technical challenges, a large number of diverse ...

  5. Comments on: High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAuditsCluster Compatibility Mode ClusterProteinReactions | Argonne

  6. Thrusts in High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week DayDr.Theories (Journal Article) | SciTech20Home »

  7. Introduction to High Performance Computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenryInhibitingInteractivePGAS and Hybrid Intro toIntroduction

  8. Task-parallel message passing interface implementation of Autodock4 for docking of very large databases of compounds using high-performance super-computers

    SciTech Connect (OSTI)

    Collignon, Barbara C; Schultz, Roland; Smith, Jeremy C; Baudry, Jerome Y

    2011-01-01

    A message passing interface (MPI)-based implementation (Autodock4.lga.MPI) of the grid-based docking program Autodock4 has been developed to allow simultaneous and independent docking of multiple compounds on up to thousands of central processing units (CPUs) using the Lamarkian genetic algorithm. The MPI version reads a single binary file containing precalculated grids that represent the protein-ligand interactions, i.e., van der Waals, electrostatic, and desolvation potentials, and needs only two input parameter files for the entire docking run. In comparison, the serial version of Autodock4 reads ASCII grid files and requires one parameter file per compound. The modifications performed result in significantly reduced input/output activity compared with the serial version. Autodock4.lga.MPI scales up to 8192 CPUs with a maximal overhead of 16.3%, of which two thirds is due to input/output operations and one third originates from MPI operations. The optimal docking strategy, which minimizes docking CPU time without lowering the quality of the database enrichments, comprises the docking of ligands preordered from the most to the least flexible and the assignment of the number of energy evaluations as a function of the number of rotatable bounds. In 24 h, on 8192 high-performance computing CPUs, the present MPI version would allow docking to a rigid protein of about 300K small flexible compounds or 11 million rigid compounds.

  9. High Performance Home Cost Performance Trade-Offs: Production...

    Energy Savers [EERE]

    High Performance Home Cost Performance Trade-Offs: Production Builders - Building America Top Innovation High Performance Home Cost Performance Trade-Offs: Production Builders -...

  10. Frontiers in Planetary and Stellar Magnetism through High-Performance...

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

    Hwang, project co-PI Frontiers in Planetary and Stellar Magnetism through High-Performance Computing PI Name: Jonathan Aurnou PI Email: aurnou@ucla.edu Institution: University...

  11. Continuous Monitoring And Cyber Security For High Performance...

    Office of Scientific and Technical Information (OSTI)

    Continuous Monitoring And Cyber Security For High Performance Computing Malin, Alex B. Los Alamos National Laboratory; Van Heule, Graham K. Los Alamos National Laboratory...

  12. Towards HPC-ABDS: An Initial High-Performance Big Data Stack , School of Informatics and Computing, Indiana University, Bloomington, USA

    E-Print Network [OSTI]

    1 Towards HPC-ABDS: An Initial High-Performance Big Data Stack Judy Qiu , School of Informatics effectiveness hampered by the increasing volume, variety and rate of change (velocity) of big data ecosystem, resulting in an integrated system generically called high- performance big data system (HPBDS

  13. Construction of Blaze at the University of Illinois at Chicago: A Shared, High-Performance, Visual Computer for Next-Generation Cyberinfrastructure-Accelerated Scientific, Engineering, Medical and Public Policy Research

    SciTech Connect (OSTI)

    Brown, Maxine D.; Leigh, Jason

    2014-02-17

    The Blaze high-performance visual computing system serves the high-performance computing research and education needs of University of Illinois at Chicago (UIC). Blaze consists of a state-of-the-art, networked, computer cluster and ultra-high-resolution visualization system called CAVE2(TM) that is currently not available anywhere in Illinois. This system is connected via a high-speed 100-Gigabit network to the State of Illinois' I-WIRE optical network, as well as to national and international high speed networks, such as the Internet2, and the Global Lambda Integrated Facility. This enables Blaze to serve as an on-ramp to national cyberinfrastructure, such as the National Science Foundation’s Blue Waters petascale computer at the National Center for Supercomputing Applications at the University of Illinois at Chicago and the Department of Energy’s Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. DOE award # DE-SC005067, leveraged with NSF award #CNS-0959053 for “Development of the Next-Generation CAVE Virtual Environment (NG-CAVE),” enabled us to create a first-of-its-kind high-performance visual computing system. The UIC Electronic Visualization Laboratory (EVL) worked with two U.S. companies to advance their commercial products and maintain U.S. leadership in the global information technology economy. New applications are being enabled with the CAVE2/Blaze visual computing system that is advancing scientific research and education in the U.S. and globally, and help train the next-generation workforce.

  14. Elucidating geochemical response of shallow heterogeneous aquifers to CO2 leakage using high-performance computing: Implications for monitoring of CO2 sequestration

    SciTech Connect (OSTI)

    Navarre-Sitchler, Alexis K.; Maxwell, Reed M.; Siirila, Erica R.; Hammond, Glenn E.; Lichtner, Peter C.

    2013-03-01

    Predicting and quantifying impacts of potential carbon dioxide (CO2) leakage into shallow aquifers that overlie geologic CO2 storage formations is an important part of developing reliable carbon storage techniques. Leakage of CO2 through fractures, faults or faulty wellbores can reduce groundwater pH, inducing geochemical reactions that release solutes into the groundwater and pose a risk of degrading groundwater quality. In order to help quantify this risk, predictions of metal concentrations are needed during geologic storage of CO2. Here, we present regional-scale reactive transport simulations, at relatively fine-scale, of CO2 leakage into shallow aquifers run on the PFLOTRAN platform using high-performance computing. Multiple realizations of heterogeneous permeability distributions were generated using standard geostatistical methods. Increased statistical anisotropy of the permeability field resulted in more lateral and vertical spreading of the plume of impacted water, leading to increased Pb2+ (lead) concentrations and lower pH at a well down gradient of the CO2 leak. Pb2+ concentrations were higher in simulations where calcite was the source of Pb2+ compared to galena. The low solubility of galena effectively buffered the Pb2+ concentrations as galena reached saturation under reducing conditions along the flow path. In all cases, Pb2+ concentrations remained below the maximum contaminant level set by the EPA. Results from this study, compared to natural variability observed in aquifers, suggest that bicarbonate (HCO3) concentrations may be a better geochemical indicator of a CO2 leak under the conditions simulated here.

  15. REU: Interdisciplinary Program in High Performance Computing at UMBC http://www.umbc.edu/hpcreu Department of Mathematics and Statistics University of Maryland, Baltimore County 1000 Hilltop Circle, Baltimore, MD 21250 410-455-2412

    E-Print Network [OSTI]

    Suri, Manil

    ://www.umbc.edu/hpcreu © Department of Mathematics and Statistics · University of Maryland, Baltimore County · 1000 Hilltop Circle, Baltimore, MD 21250 · 410-455-2412 UMBC is an Equal Opportunity and Affirmative Action Institution Interdisciplinary Program in High Performance Computing University of Maryland, Baltimore County (UMBC) Summer 2010

  16. INL High Performance Building Strategy

    SciTech Connect (OSTI)

    Jennifer D. Morton

    2010-02-01

    High performance buildings, also known as sustainable buildings and green buildings, are resource efficient structures that minimize the impact on the environment by using less energy and water, reduce solid waste and pollutants, and limit the depletion of natural resources while also providing a thermally and visually comfortable working environment that increases productivity for building occupants. As Idaho National Laboratory (INL) becomes the nation’s premier nuclear energy research laboratory, the physical infrastructure will be established to help accomplish this mission. This infrastructure, particularly the buildings, should incorporate high performance sustainable design features in order to be environmentally responsible and reflect an image of progressiveness and innovation to the public and prospective employees. Additionally, INL is a large consumer of energy that contributes to both carbon emissions and resource inefficiency. In the current climate of rising energy prices and political pressure for carbon reduction, this guide will help new construction project teams to design facilities that are sustainable and reduce energy costs, thereby reducing carbon emissions. With these concerns in mind, the recommendations described in the INL High Performance Building Strategy (previously called the INL Green Building Strategy) are intended to form the INL foundation for high performance building standards. This revised strategy incorporates the latest federal and DOE orders (Executive Order [EO] 13514, “Federal Leadership in Environmental, Energy, and Economic Performance” [2009], EO 13423, “Strengthening Federal Environmental, Energy, and Transportation Management” [2007], and DOE Order 430.2B, “Departmental Energy, Renewable Energy, and Transportation Management” [2008]), the latest guidelines, trends, and observations in high performance building construction, and the latest changes to the Leadership in Energy and Environmental Design (LEED®) Green Building Rating System (LEED 2009). The document employs a two-level approach for high performance building at INL. The first level identifies the requirements of the Guiding Principles for Sustainable New Construction and Major Renovations, and the second level recommends which credits should be met when LEED Gold certification is required.

  17. High Energy Physics from High Performance Computing

    E-Print Network [OSTI]

    T. Blum

    2009-08-06

    We discuss Quantum Chromodynamics calculations using the lattice regulator. The theory of the strong force is a cornerstone of the Standard Model of particle physics. We present USQCD collaboration results obtained on Argonne National Lab's Intrepid supercomputer that deepen our understanding of these fundamental theories of Nature and provide critical support to frontier particle physics experiments and phenomenology.

  18. High Performance Photovoltaic Project Overview

    SciTech Connect (OSTI)

    Symko-Davies, M.; McConnell, R.

    2005-01-01

    The High-Performance Photovoltaic (HiPerf PV) Project was initiated by the U.S. Department of Energy to substantially increase the viability of photovoltaics (PV) for cost-competitive applications so that PV can contribute significantly to our energy supply and environment in the 21st century. To accomplish this, the National Center for Photovoltaics (NCPV) directs in-house and subcontracted research in high-performance polycrystalline thin-film and multijunction concentrator devices. In this paper, we describe the recent research accomplishments in the in-house directed efforts and the research efforts under way in the subcontracted area.

  19. Misleading Performance Claims in Parallel Computations

    SciTech Connect (OSTI)

    Bailey, David H.

    2009-05-29

    In a previous humorous note entitled 'Twelve Ways to Fool the Masses,' I outlined twelve common ways in which performance figures for technical computer systems can be distorted. In this paper and accompanying conference talk, I give a reprise of these twelve 'methods' and give some actual examples that have appeared in peer-reviewed literature in years past. I then propose guidelines for reporting performance, the adoption of which would raise the level of professionalism and reduce the level of confusion, not only in the world of device simulation but also in the larger arena of technical computing.

  20. High Performance Outdoor Lighting Accelerator

    Broader source: Energy.gov [DOE]

    Hosted by the U.S. Department of Energy (DOE)’s Weatherization and Intergovernmental Programs Office (WIPO), this webinar covered the expansion of the Better Buildings platform to include the newest initiative for the public sector: the High Performance Outdoor Lighting Accelerator (HPOLA).

  1. High Performance Bulk Thermoelectric Materials

    SciTech Connect (OSTI)

    Ren, Zhifeng

    2013-03-31

    Over 13 plus years, we have carried out research on electron pairing symmetry of superconductors, growth and their field emission property studies on carbon nanotubes and semiconducting nanowires, high performance thermoelectric materials and other interesting materials. As a result of the research, we have published 104 papers, have educated six undergraduate students, twenty graduate students, nine postdocs, nine visitors, and one technician.

  2. High-Performance Nanostructured Coating

    Office of Energy Efficiency and Renewable Energy (EERE)

    The High-Performance Nanostructured Coating fact sheet details a SunShot project led by a University of California, San Diego research team working to develop a new high-temperature spectrally selective coating for receiver surfaces. These receiver surfaces, used in concentrating solar power systems, rely on high-temperature SSCs to effectively absorb solar energy without emitting much blackbody radiation.The optical properties of the SSC directly determine the efficiency and maximum attainable temperature of solar receivers, which in turn influence the power-conversion efficiency and overall system cost.

  3. Building America Webinar: High Performance Space Conditioning...

    Energy Savers [EERE]

    Webinar: High Performance Space Conditioning Systems, Part II - Air Distribution Retrofit Strategies for Affordable Housing Building America Webinar: High Performance Space...

  4. Funding Opportunity: Building America High Performance Housing...

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

    Opportunity: Building America High Performance Housing Innovation Funding Opportunity: Building America High Performance Housing Innovation November 19, 2015 - 11:51am Addthis The...

  5. Computational Tools to Assess Turbine Biological Performance

    SciTech Connect (OSTI)

    Richmond, Marshall C.; Serkowski, John A.; Rakowski, Cynthia L.; Strickler, Brad; Weisbeck, Molly; Dotson, Curtis L.

    2014-07-24

    Public Utility District No. 2 of Grant County (GCPUD) operates the Priest Rapids Dam (PRD), a hydroelectric facility on the Columbia River in Washington State. The dam contains 10 Kaplan-type turbine units that are now more than 50 years old. Plans are underway to refit these aging turbines with new runners. The Columbia River at PRD is a migratory pathway for several species of juvenile and adult salmonids, so passage of fish through the dam is a major consideration when upgrading the turbines. In this paper, a method for turbine biological performance assessment (BioPA) is demonstrated. Using this method, a suite of biological performance indicators is computed based on simulated data from a CFD model of a proposed turbine design. Each performance indicator is a measure of the probability of exposure to a certain dose of an injury mechanism. Using known relationships between the dose of an injury mechanism and frequency of injury (dose–response) from laboratory or field studies, the likelihood of fish injury for a turbine design can be computed from the performance indicator. By comparing the values of the indicators from proposed designs, the engineer can identify the more-promising alternatives. We present an application of the BioPA method for baseline risk assessment calculations for the existing Kaplan turbines at PRD that will be used as the minimum biological performance that a proposed new design must achieve.

  6. Circuits for high-performance low-power VLSI logic

    E-Print Network [OSTI]

    Ma, Albert

    2006-01-01

    The demands of future computing, as well as the challenges of nanometer-era VLSI design, require new digital logic techniques and styles that are simultaneously high performance, energy efficient, and robust to noise and ...

  7. Computing High Accuracy Power Spectra with Pico

    E-Print Network [OSTI]

    William A. Fendt; Benjamin D. Wandelt

    2007-12-02

    This paper presents the second release of Pico (Parameters for the Impatient COsmologist). Pico is a general purpose machine learning code which we have applied to computing the CMB power spectra and the WMAP likelihood. For this release, we have made improvements to the algorithm as well as the data sets used to train Pico, leading to a significant improvement in accuracy. For the 9 parameter nonflat case presented here Pico can on average compute the TT, TE and EE spectra to better than 1% of cosmic standard deviation for nearly all $\\ell$ values over a large region of parameter space. Performing a cosmological parameter analysis of current CMB and large scale structure data, we show that these power spectra give very accurate 1 and 2 dimensional parameter posteriors. We have extended Pico to allow computation of the tensor power spectrum and the matter transfer function. Pico runs about 1500 times faster than CAMB at the default accuracy and about 250,000 times faster at high accuracy. Training Pico can be done using massively parallel computing resources, including distributed computing projects such as Cosmology@Home. On the homepage for Pico, located at http://cosmos.astro.uiuc.edu/pico, we provide new sets of regression coefficients and make the training code available for public use.

  8. Life-Cycle Energy Demand of Computational Logic: From High-Performance 32nm CPU to Ultra-Low-Power 130nm MCU

    E-Print Network [OSTI]

    Bol, David; Boyd, Sarah; Dornfeld, David

    2011-01-01

    4] S. Boyd et al. : “Life-cycle assessment of computationalS. Boyd et al. : “Life-cycle assessment of semiconductors”,S. Boyd et al. : “Life-cycle assessment of NAND Flash”, in

  9. Life-Cycle Energy Demand of Computational Logic: From High-Performance 32nm CPU to Ultra-Low-Power 130nm MCU

    E-Print Network [OSTI]

    Bol, David; Boyd, Sarah; Dornfeld, David

    2011-01-01

    4] S. Boyd et al. : “Life-cycle assessment of computationalS. Boyd et al. : “Life-cycle assessment of semiconductors”,S. Boyd et al. : “Life-cycle assessment of NAND Flash”, in

  10. Concepts for High Availability in Scientific High-End Computing

    E-Print Network [OSTI]

    Engelmann, Christian

    Concepts for High Availability in Scientific High-End Computing Christian Engelmann 1,2 and Stephen 2 Department of Computer Science The University of Reading, Reading, UK High Availability and Stephen L. Scott, Oak Ridge National Laboratory Concepts for High Availability in Scientific High

  11. Sustainability of Engineers’ High Performance

    E-Print Network [OSTI]

    Nakata, Yoshifumi; Miyazaki, Satoru

    2009-01-01

    belong to Performance-based HRM companies. Footnotes: i Seein charge of engineers’ HRM and MOT. Five factors haveWorkplace environment (HRM et al. ) Performance Evaluated

  12. Illustrating the future prediction of performance based on computer...

    Office of Scientific and Technical Information (OSTI)

    Illustrating the future prediction of performance based on computer code, physical experiments, and critical performance parameter samples Citation Details In-Document Search...

  13. Master of Computer Science Master of Computer Science

    E-Print Network [OSTI]

    Cerveny, Vlastislav

    ­ Dependable systems ­ High performance computing 5 Computational Linguistics ­ Computational and formal

  14. High Performance Sustainable Building Design RM

    Office of Environmental Management (EM)

    High Performance Sustainable Building Design Review Module March 2010 CD-0 O High 0 This Re Les OFFICE OF h Perform CD-1 eview Module ssons learned f F ENVIRON Standard R mance Su...

  15. High Performance LU Factorization for Non-dedicated Clusters

    E-Print Network [OSTI]

    High Performance LU Factorization for Non-dedicated Clusters Toshio Endo PRESTO, JST endo performance on non-dedicated clusters, where the number of avail- able computing resources may be arbitrary, because they often need dedicated resources for predictable load-balancing and synchronization latencies

  16. Organizational Analysis in Computer Science

    E-Print Network [OSTI]

    Kling, Rob

    1993-01-01

    trying to develop high performance computing applicationsFor example, the High Performance Computing Act will providehelping to develop high performance computing applications

  17. Life-Cycle Energy Demand of Computational Logic: From High-Performance 32nm CPU to Ultra-Low-Power 130nm MCU

    E-Print Network [OSTI]

    Bol, David; Boyd, Sarah; Dornfeld, David

    2011-01-01

    Performance 32 nm CPU to Ultra-Low-Power 130 nm MCU Davidboxes and smart phones to ultra-low-power 130 nm MCUs forthe energy demand for ultra-low-power MCUs is completely

  18. Life-Cycle Energy Demand of Computational Logic: From High-Performance 32nm CPU to Ultra-Low-Power 130nm MCU

    E-Print Network [OSTI]

    Bol, David; Boyd, Sarah; Dornfeld, David

    2011-01-01

    Performance 32 nm CPU to Ultra-Low-Power 130 nm MCU Davidboxes and smart phones to ultra-low-power 130 nm MCUs forthe energy demand for ultra-low-power MCUs is completely

  19. High-performance numerical optimization on multicore clusters

    E-Print Network [OSTI]

    Dimakopoulos, Vassilios

    High-performance numerical optimization on multicore clusters Panagiotis E. Hadjidoukas1 Department of Computer Science {phadjido,voglis,dimako,lagaris}@cs.uoi.gr 2 Department of Materials Science presents a software infrastructure for high per- formance numerical optimization on clusters of multicore

  20. Emerging Computing Technologies in High Energy Physics

    E-Print Network [OSTI]

    Amir Farbin

    2009-10-19

    While in the early 90s High Energy Physics (HEP) lead the computing industry by establishing the HTTP protocol and the first web-servers, the long time-scale for planning and building modern HEP experiments has resulted in a generally slow adoption of emerging computing technologies which rapidly become commonplace in business and other scientific fields. I will overview some of the fundamental computing problems in HEP computing and then present the current state and future potential of employing new computing technologies in addressing these problems.

  1. In Proceedings of the 7th International Symposium on High Performance Computer Architecture, January 2001. Dynamic Prediction of Critical Path Instructions

    E-Print Network [OSTI]

    Sair, Suleyman

    , January 2001. Dynamic Prediction of Critical Path Instructions Eric Tune Dongning Liang Dean M. Tullsen the critical path of execu- tion. To optimize the performance of the processor, we either have to reduce the critical path or execute it more efficiently. In both cases, it can be done more effectively if we know

  2. Performance Analysis for GPU Computing | ornl.gov

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

    Performance Analysis for GPU Computing Aug 07 2015 02:00 PM - 03:00 PM Michael Wolfe, PGI, Santa Clara, California Oak Ridge Leadership Computing Facility Seminar Joint Institute...

  3. National Energy Research Scientific Computing Center 2007 Annual Report

    E-Print Network [OSTI]

    Hules, John A.

    2008-01-01

    and Directions in High Performance Computing for the Officein the evolution of high performance computing and networks.Hectopascals High performance computing High Performance

  4. High-Performance OPCPA Laser System

    SciTech Connect (OSTI)

    Zuegel, J.D.; Bagnoud, V.; Bromage, J.; Begishev, I.A.; Puth, J.

    2006-07-13

    A high-performance optical parametric chirped-pulse amplifier (OPCPA) system has been demonstrated as a prototype for the front end of the OMEGA Extended Performance (EP) Laser System.

  5. This paper is adapted from a chapter in: L. Grandinetti (ed.), "Grid Computing and New Frontiers of High Performance Processing." Elsevier, 2005.

    E-Print Network [OSTI]

    , Large-Scale Science: DOE's ESnet William E. Johnston ESnet Manager and Senior Scientist, DOE Lawrence approach and architecture for DOE's Energy Sciences Network (ESnet), which is the network that serves all of the major DOE facilities. This new architecture includes elements supporting multiple, high-speed national

  6. High Performance Plastic DSSC | ANSER Center | Argonne-Northwestern...

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

    High Performance Plastic DSSC Home > Research > ANSER Research Highlights > High Performance Plastic DSSC...

  7. Building America Webinar: High Performance Space Conditioning...

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

    Compact Buried Ducts Building America Webinar: High Performance Space Conditioning Systems, Part II - Compact Buried Ducts Dave Mallay, Partnership for Home Innovation (PHI),...

  8. Building America Webinar: High Performance Space Conditioning...

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

    II - Design Options for Locating Ducts within Conditioned Space Building America Webinar: High Performance Space Conditioning Systems, Part II - Design Options for Locating Ducts...

  9. Building America Webinar: High Performance Enclosure Strategies...

    Energy Savers [EERE]

    Webinar: High Performance Enclosure Strategies: Part II, New Construction - August 13, 2014 - Cladding Attachment Over Thick Exterior Rigid Insulation Building America Webinar:...

  10. TAP Webinar: High Performance Outdoor Lighting Accelerator

    Broader source: Energy.gov [DOE]

    Hosted by the Technical Assistance Program (TAP), this webinar will cover the recently announced expansion of the Better Buildings platform —the High Performance Outdoor Lighting Accelerator (HPOLA).

  11. Building America Webinar: High Performance Enclosure Strategies...

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

    Introduction Building America Webinar: High Performance Enclosure Strategies: Part II, New Construction - August 13, 2014 - Introduction This presentation is the Introduction to...

  12. Building America Roadmap to High Performance Homes

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

    Building America Technical Update Meeting - April 29, 2013 Building America Roadmap to High Performance Homes Eric Werling Building America Coordinator Denver, CO April 29, 2013...

  13. Method of making a high performance ultracapacitor

    DOE Patents [OSTI]

    Farahmandi, C. Joseph (Auburn, AL); Dispennette, John M. (Auburn, AL)

    2000-07-26

    A high performance double layer capacitor having an electric double layer formed in the interface between activated carbon and an electrolyte is disclosed. The high performance double layer capacitor includes a pair of aluminum impregnated carbon composite electrodes having an evenly distributed and continuous path of aluminum impregnated within an activated carbon fiber preform saturated with a high performance electrolytic solution. The high performance double layer capacitor is capable of delivering at least 5 Wh/kg of useful energy at power ratings of at least 600 W/kg.

  14. High performance carbon nanocomposites for ultracapacitors

    DOE Patents [OSTI]

    Lu, Wen

    2012-10-02

    The present invention relates to composite electrodes for electrochemical devices, particularly to carbon nanotube composite electrodes for high performance electrochemical devices, such as ultracapacitors.

  15. Kathy Yelick Co-authors NRC Report on Computer Performance -...

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

    for sustaining growth in computing performance. Yelick, who is a recognized leader in programming languages, was a member of the panel discussing "Parallelism and Innovative...

  16. Strategy Guideline: High Performance Residential Lighting

    SciTech Connect (OSTI)

    Holton, J.

    2012-02-01

    The Strategy Guideline: High Performance Residential Lighting has been developed to provide a tool for the understanding and application of high performance lighting in the home. The high performance lighting strategies featured in this guide are drawn from recent advances in commercial lighting for application to typical spaces found in residential buildings. This guide offers strategies to greatly reduce lighting energy use through the application of high quality fluorescent and light emitting diode (LED) technologies. It is important to note that these strategies not only save energy in the home but also serve to satisfy the homeowner's expectations for high quality lighting.

  17. Cyberinfrastructure: Computing,NetworkingandSupportforResearch

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    computing systems WSU's High Performance Computing (HPC) Grid for research and courses in parallel computing

  18. Network-Theoretic Classification of Parallel Computation Patterns

    E-Print Network [OSTI]

    Whalen, Sean; Engle, Sophie; Peisert, Sean; Bishop, Matt

    2012-01-01

    computation in a high performance computing environment canThe ?eld of High performance computing (HPC) is undergoingmembers of the high performance computing security project

  19. HIGH-PERFORMANCE COATING MATERIALS

    SciTech Connect (OSTI)

    SUGAMA,T.

    2007-01-01

    Corrosion, erosion, oxidation, and fouling by scale deposits impose critical issues in selecting the metal components used at geothermal power plants operating at brine temperatures up to 300 C. Replacing these components is very costly and time consuming. Currently, components made of titanium alloy and stainless steel commonly are employed for dealing with these problems. However, another major consideration in using these metals is not only that they are considerably more expensive than carbon steel, but also the susceptibility of corrosion-preventing passive oxide layers that develop on their outermost surface sites to reactions with brine-induced scales, such as silicate, silica, and calcite. Such reactions lead to the formation of strong interfacial bonds between the scales and oxide layers, causing the accumulation of multiple layers of scales, and the impairment of the plant component's function and efficacy; furthermore, a substantial amount of time is entailed in removing them. This cleaning operation essential for reusing the components is one of the factors causing the increase in the plant's maintenance costs. If inexpensive carbon steel components could be coated and lined with cost-effective high-hydrothermal temperature stable, anti-corrosion, -oxidation, and -fouling materials, this would improve the power plant's economic factors by engendering a considerable reduction in capital investment, and a decrease in the costs of operations and maintenance through optimized maintenance schedules.

  20. WORKSHOP ON COMPUTATIONAL SCIENCE

    E-Print Network [OSTI]

    as the overall scientific output is related to the computing capacity. High Performance Computing (HPC

  1. In this paper, we argue that the deployment of high performance wide area networks coupled with the availability of commodity

    E-Print Network [OSTI]

    Stodghill, Paul

    with the availability of commodity middleware will produce a new paradigm of high performance computing that we call community is on the cusp of a new era in high-performance computing. In order to understand the trends the next five to ten years. Traditional High Performance Computing (HPC) - Up until only a few years ago

  2. Open DMIX: High Performance Web Services for Distributed Data Mining

    E-Print Network [OSTI]

    Grossman, Robert

    Open DMIX: High Performance Web Services for Distributed Data Mining Robert Grossman , Yunhong Gu Krishnaswamy, Web-Service Based Data Mining Middleware for Grid Computing Environments, 7th Interna- tional collection of web services for the mining, integration, and exploration of remote and dis- tributed data. We

  3. Design and Performance Guarantees in Cloud Computing: Challenges and Opportunities

    E-Print Network [OSTI]

    Como, Giacomo

    Design and Performance Guarantees in Cloud Computing: Challenges and Opportunities [Challenge.8 [Software Engineering]: Metrics--complexity mea- sures, performance measures Keywords Cloud computing Römers väg 1 Lund, Sweden alessandro.papadopoulos@control.lth.se ABSTRACT In the last years, cloud

  4. Strategy Guideline. Partnering for High Performance Homes

    SciTech Connect (OSTI)

    Prahl, Duncan

    2013-01-01

    High performance houses require a high degree of coordination and have significant interdependencies between various systems in order to perform properly, meet customer expectations, and minimize risks for the builder. Responsibility for the key performance attributes is shared across the project team and can be well coordinated through advanced partnering strategies. For high performance homes, traditional partnerships need to be matured to the next level and be expanded to all members of the project team including trades, suppliers, manufacturers, HERS raters, designers, architects, and building officials as appropriate. This guide is intended for use by all parties associated in the design and construction of high performance homes. It serves as a starting point and features initial tools and resources for teams to collaborate to continually improve the energy efficiency and durability of new houses.

  5. High Performance Computing Technologies Jack Dongarra

    E-Print Network [OSTI]

    Dongarra, Jack

    Fundamental limits are being approached. ffl More cost effective solution Example: Weather Prediction (Navier pressure humidity 3 \\Gamma wind velocity ffl 1 Kilometer Cells ffl 10 slices ! 5 \\Theta 10 9 cells ffl each Industry ffl Huge users of HPC technology: Ford (US) is 25th largest user of HPC in the world ffl Main uses

  6. High Performance Computing Technologies Jack Dongarra

    E-Print Network [OSTI]

    Dongarra, Jack

    limits are being approached. More cost e ective solution Example: Weather Prediction Navier-Stokes with 3D Grid around the Earth 6 variables 8 : temperature pressure humidity 3 ,wind velocity 1 Kilometer Huge users of HPC technology: Ford US is 25th largest user of HPC in the world Main uses of simulation

  7. High-Performance Computing at Los

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

    tool LOS ALAMOS, N.M., May 29, 2014-At Los Alamos, a supercomputer epicenter where "big data set" really means something, a data middleware project has achieved a milestone...

  8. high-performance computing networked embedded systems

    E-Print Network [OSTI]

    involving bioengineering and fuel cells are also experi- encing considerable success. Research grants in which embedded proces- sors will optimally monitor and control many important aspects of daily life conditions, we look to the future with optimism. The faculty remains committed to the values

  9. high-performance computing networked embedded systems

    E-Print Network [OSTI]

    Kareem, Ahsan

    generation of urban structures? Modeling technologies have changed over the years, but cityscapes have also with the inevitable. The only argument available with an east wind is to put on your overcoat." Change is inevitable into the "east wind," they are leading the way in developing network embedded systems for research in disciplines

  10. High Performance Computing Facility Operational Assessment, CY...

    Office of Scientific and Technical Information (OSTI)

    costs. General Electric used Jaguar to calculate the unsteady flow through turbo machinery to learn what efficiencies the traditional steady flow assumption is hiding from...

  11. Collaboration to advance high-performance computing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAuditsCluster Compatibility Mode ClusterProtein structure

  12. DOE High Performance Computing Operational Review (HPCOR)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet Hanford AdvisoryEnergyManagement DOEOperational

  13. Introduction to High Performance Computing Using GPUs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenryInhibitingInteractivePGAS and Hybrid Intro toIntroductionHPC Using

  14. High Performance Computing Richard F. BARRETT

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-DoseOptionsthroughput spectrometerEnergyChemistrythe Role of

  15. High Performance Computing Student Career Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-DoseOptionsthroughput spectrometerEnergyChemistrythe Role

  16. Multiclass Classification of Distributed Memory Parallel Computations

    E-Print Network [OSTI]

    Whalen, Sean; Peisert, Sean; Bishop, Matt

    2012-01-01

    95616 b Abstract High Performance Computing (HPC) is a ?eldorganizing maps, High performance computing, Communicationpowerful known High Performance Computing (HPC) systems in

  17. The Magellan Final Report on Cloud Computing

    E-Print Network [OSTI]

    Coghlan, Susan

    2013-01-01

    framework for high-performance computing systems. In IEEEAnalysis of High Performance Computing Applications on theon UnConventional high performance computing workshop plus

  18. Advanced Scientific Computing Research Network Requirements

    E-Print Network [OSTI]

    Dart, Eli

    2014-01-01

    that have a high-performance computing (HPC) component (with an emphasis on high performance computing facilities.develop and deploy high- performance computing hardware and

  19. High-Performance Ducts in Hot-Dry Climates

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energy neutron ComputedHigh-Performance Computing for

  20. Network-Theoretic Classification of Parallel Computation Patterns

    E-Print Network [OSTI]

    Whalen, Sean; Peisert, Sean; Bishop, Matt

    2011-01-01

    computation in a high performance computing en- vironmentAs the ?eld of high performance computing (HPC) plans for

  1. Computationally Efficient Modeling of High-Efficiency Clean Combustion...

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

    & Publications Computationally Efficient Modeling of High-Efficiency Clean Combustion Engines Computationally Efficient Modeling of High-Efficiency Clean Combustion Engines...

  2. Building America Webinar: High Performance Space Conditioning...

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

    I: Heating and Cooling with Mini-Splits in the Northeast Building America Webinar: High Performance Space Conditioning Systems, Part I: Heating and Cooling with Mini-Splits in the...

  3. Highlighting High Performance: Whitman Hanson Regional High School; Whitman, Massachusetts

    SciTech Connect (OSTI)

    Not Available

    2006-06-01

    This brochure describes the key high-performance building features of the Whitman-Hanson Regional High School. The brochure was paid for by the Massachusetts Technology Collaborative as part of their Green Schools Initiative. High-performance features described are daylighting and energy-efficient lighting, indoor air quality, solar and wind energy, building envelope, heating and cooling systems, water conservation, and acoustics. Energy cost savings are also discussed.

  4. New set of metrics for the computational performance

    E-Print Network [OSTI]

    New set of metrics for the computational performance of IS-ENES Earth System Models TR/CMGC/14/73 U performance of Earth System Models is developed and used for an initial performance analysis of the EC models.................................................................................................................................5 2.1 List of Participating Earth System Models

  5. High Performance Electrolyte Gated Carbon Nanotube Transistors

    E-Print Network [OSTI]

    Gore, Jeff

    High Performance Electrolyte Gated Carbon Nanotube Transistors Sami Rosenblatt, Yuval Yaish, Jiwoong Park,, Jeff Gore, Vera Sazonova, and Paul L. McEuen*, Laboratory of Atomic and Solid State Physics to grow the tubes, annealing to improve the contacts, and an electrolyte as a gate, we obtain very high

  6. A Performance Instrumentation Framework to Characterize Computation-Communication Overlap in Message-Passing Systems

    E-Print Network [OSTI]

    Shet, Aniruddha G.

    A Performance Instrumentation Framework to Characterize Computation-Communication Overlap for applications on high-end computers. In this paper, we propose an instrumentation framework for message. The ap- proach has been used to instrument two MPI implementa- tions as well as the ARMCI system

  7. Continental scale, high order, high spatial resolution, ice sheet modeling using the Ice Sheet System Model (ISSM)

    E-Print Network [OSTI]

    2012-01-01

    to achieve high performance computing and scalability. Thecapabilities ensures high performance computing and a sig-

  8. Mira Performance Boot Camp 2015 | Argonne Leadership Computing...

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

    Mira Performance Boot Camp 2015 Event Sponsor: Argonne Leadership Computing Facility Start Date: May 19 2015 - 8:30am to May 21 2015 - 5:00pm BuildingRoom: TCS Building 240 | Room...

  9. High-Precision Computation and Mathematical Physics

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2008-11-03

    At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scientific applications. However, for a rapidly growing body of important scientific computing applications, a higher level of numeric precision is required. Such calculations are facilitated by high-precision software packages that include high-level language translation modules to minimize the conversion effort. This paper presents a survey of recent applications of these techniques and provides some analysis of their numerical requirements. These applications include supernova simulations, climate modeling, planetary orbit calculations, Coulomb n-body atomic systems, scattering amplitudes of quarks, gluons and bosons, nonlinear oscillator theory, Ising theory, quantum field theory and experimental mathematics. We conclude that high-precision arithmetic facilities are now an indispensable component of a modern large-scale scientific computing environment.

  10. Routing performance analysis and optimization within a massively parallel computer

    DOE Patents [OSTI]

    Archer, Charles Jens; Peters, Amanda; Pinnow, Kurt Walter; Swartz, Brent Allen

    2013-04-16

    An apparatus, program product and method optimize the operation of a massively parallel computer system by, in part, receiving actual performance data concerning an application executed by the plurality of interconnected nodes, and analyzing the actual performance data to identify an actual performance pattern. A desired performance pattern may be determined for the application, and an algorithm may be selected from among a plurality of algorithms stored within a memory, the algorithm being configured to achieve the desired performance pattern based on the actual performance data.

  11. Compilation Techniques for High-Performance Embedded Systems with Multiple Processors 

    E-Print Network [OSTI]

    Franke, Bjorn

    Despite the progress made in developing more advanced compilers for embedded systems, programming of embedded high-performance computing systems based on Digital Signal Processors (DSPs) is still a highly skilled manual ...

  12. RIKEN HPCI Program for Computational Life Sciences

    E-Print Network [OSTI]

    Fukai, Tomoki

    of computational resources offered by the High Performance Computing Infrastructure, with the K computer long-term support. High Performance Computing Development Education and Outreach Strategic Programs

  13. Optimization of a Lattice Boltzmann Computation on State-of-the-Art Multicore Platforms

    E-Print Network [OSTI]

    Williams, Samuel

    2009-01-01

    In Proc. SC2005: High performance computing, networking, andMeeting on High Performance Computing for ComputationalIn Proc. SC2005: High performance computing, networking, and

  14. Fast algorithms and solvers in computational electromagnetics and micromagnetics on GPUs

    E-Print Network [OSTI]

    Li, Shaojing

    2012-01-01

    Architecture and High Performance Computing Workshops (SBAC-architecture high performance computing for computationalConference on High Performance Computing Networking, Storage

  15. National facility for advanced computational science: A sustainable path to scientific discovery

    E-Print Network [OSTI]

    2004-01-01

    Applications,” High Performance Computing for ComputationalSystem Effectiveness in High Performance Computing Systems,”Tammy Welcome, “High Performance Computing Facilities for

  16. High Performance Green Building Partnership Consortia | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High Performance Computing

  17. McMPI – a managed-code message passing interface library for high performance communication in C# 

    E-Print Network [OSTI]

    Holmes, Daniel John

    2012-11-28

    This work endeavours to achieve technology transfer between established best-practice in academic high-performance computing and current techniques in commercial high-productivity computing. It shows that a credible ...

  18. High Performance Window Attachments | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the Bill Financing ToolSustainableSecurityHigh Energy CostHigh Performance

  19. High Performance and Sustainable Buildings Guidance

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High HIGH PERFORMANCE and

  20. High energy neutron Computed Tomography developed

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energy neutron Computed Tomography developed High energy

  1. Strategy Guideline: Partnering for High Performance Homes

    SciTech Connect (OSTI)

    Prahl, D.

    2013-01-01

    High performance houses require a high degree of coordination and have significant interdependencies between various systems in order to perform properly, meet customer expectations, and minimize risks for the builder. Responsibility for the key performance attributes is shared across the project team and can be well coordinated through advanced partnering strategies. For high performance homes, traditional partnerships need to be matured to the next level and be expanded to all members of the project team including trades, suppliers, manufacturers, HERS raters, designers, architects, and building officials as appropriate. In an environment where the builder is the only source of communication between trades and consultants and where relationships are, in general, adversarial as opposed to cooperative, the chances of any one building system to fail are greater. Furthermore, it is much harder for the builder to identify and capitalize on synergistic opportunities. Partnering can help bridge the cross-functional aspects of the systems approach and achieve performance-based criteria. Critical success factors for partnering include support from top management, mutual trust, effective and open communication, effective coordination around common goals, team building, appropriate use of an outside facilitator, a partnering charter progress toward common goals, an effective problem-solving process, long-term commitment, continuous improvement, and a positive experience for all involved.

  2. Project materials [Commercial High Performance Buildings Project

    SciTech Connect (OSTI)

    2001-01-01

    The Consortium for High Performance Buildings (ChiPB) is an outgrowth of DOE'S Commercial Whole Buildings Roadmapping initiatives. It is a team-driven public/private partnership that seeks to enable and demonstrate the benefit of buildings that are designed, built and operated to be energy efficient, environmentally sustainable, superior quality, and cost effective.

  3. Commercial Buildings High Performance Rooftop Unit Challenge

    SciTech Connect (OSTI)

    2011-12-16

    The U.S. Department of Energy (DOE) and the Commercial Building Energy Alliances (CBEAs) are releasing a new design specification for high performance rooftop air conditioning units (RTUs). Manufacturers who develop RTUs based on this new specification will find strong interest from the commercial sector due to the energy and financial savings.

  4. High Performance Builder Spotlight: Imagine Homes

    SciTech Connect (OSTI)

    2011-01-01

    Imagine Homes, working with the DOE's Building America research team member IBACOS, has developed a system that can be replicated by other contractors to build affordable, high-performance homes. Imagine Homes has used the system to produce more than 70 Builders Challenge-certified homes per year in San Antonio over the past five years.

  5. High Level Computational Chemistry Approaches to the Prediction...

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

    Computational Chemistry Approaches to the Prediction of Energetic Properties of Chemical Hydrogen Storage Systems High Level Computational Chemistry Approaches to the Prediction...

  6. Strategy Guideline. High Performance Residential Lighting

    SciTech Connect (OSTI)

    Holton, J.

    2012-02-01

    This report has been developed to provide a tool for the understanding and application of high performance lighting in the home. The strategies featured in this guide are drawn from recent advances in commercial lighting for application to typical spaces found in residential buildings. This guide offers strategies to greatly reduce lighting energy use through the application of high quality fluorescent and light emitting diode (LED) technologies. It is important to note that these strategies not only save energy in the home but also serve to satisfy the homeowner’s expectations for high quality lighting.

  7. High-Performance Energy Applications and Systems

    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, “Foundational Tools for Petascale Computing”, SC0003922/FG02-10ER25940, UW PRJ27NU.

  8. I/O Performance of Virtualized Cloud Environments

    E-Print Network [OSTI]

    Ghoshal, Devarshi

    2013-01-01

    Technologies in High Performance Computing. In 2nd IEEEusing virtual high-performance computing: a case study usingAnalysis of High Performance Computing Applications on the

  9. PMap : unlocking the performance genes of HPC applications

    E-Print Network [OSTI]

    He, Jiahua

    2011-01-01

    in High Performance Computing . . . . . . . . 1.2.1 ParallelConfer- ence for High Performance Computing, Networking,on Patterns in High Performance Computing, May 2005. [47] M.

  10. High Performance Anode for Advanced Li Batteries

    SciTech Connect (OSTI)

    Lake, Carla

    2015-11-02

    The overall objective of this Phase I SBIR effort was to advance the manufacturing technology for ASI’s Si-CNF high-performance anode by creating a framework for large volume production and utilization of low-cost Si-coated carbon nanofibers (Si-CNF) for the battery industry. This project explores the use of nano-structured silicon which is deposited on a nano-scale carbon filament to achieve the benefits of high cycle life and high charge capacity without the consequent fading of, or failure in the capacity resulting from stress-induced fracturing of the Si particles and de-coupling from the electrode. ASI’s patented coating process distinguishes itself from others, in that it is highly reproducible, readily scalable and results in a Si-CNF composite structure containing 25-30% silicon, with a compositionally graded interface at the Si-CNF interface that significantly improve cycling stability and enhances adhesion of silicon to the carbon fiber support. In Phase I, the team demonstrated the production of the Si-CNF anode material can successfully be transitioned from a static bench-scale reactor into a fluidized bed reactor. In addition, ASI made significant progress in the development of low cost, quick testing methods which can be performed on silicon coated CNFs as a means of quality control. To date, weight change, density, and cycling performance were the key metrics used to validate the high performance anode material. Under this effort, ASI made strides to establish a quality control protocol for the large volume production of Si-CNFs and has identified several key technical thrusts for future work. Using the results of this Phase I effort as a foundation, ASI has defined a path forward to commercialize and deliver high volume and low-cost production of SI-CNF material for anodes in Li-ion batteries.

  11. Large Scale Computing and Storage Requirements for Nuclear Physics Research

    E-Print Network [OSTI]

    Gerber, Richard A.

    2012-01-01

    proceedings of High Performance Computing – 2011 (HPC-2011)In recent years, high performance computing has becomeNERSC is the primary high-performance computing facility for

  12. Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

    E-Print Network [OSTI]

    David Abdurachmanov; Brian Bockelman; Peter Elmer; Giulio Eulisse; Robert Knight; Shahzad Muzaffar

    2014-10-10

    Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. Additionally, future performance growth will come from heterogeneous, many-core, and high computing density platforms with specialized processors. In this paper, we examine the Intel Xeon Phi Many Integrated Cores (MIC) co-processor and Applied Micro X-Gene ARMv8 64-bit low-power server system-on-a-chip (SoC) solutions for scientific computing applications. We report our experience on software porting, performance and energy efficiency and evaluate the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).

  13. High Performance Commercial Fenestration Framing Systems

    SciTech Connect (OSTI)

    Mike Manteghi; Sneh Kumar; Joshua Early; Bhaskar Adusumalli

    2010-01-31

    A major objective of the U.S. Department of Energy is to have a zero energy commercial building by the year 2025. Windows have a major influence on the energy performance of the building envelope as they control over 55% of building energy load, and represent one important area where technologies can be developed to save energy. Aluminum framing systems are used in over 80% of commercial fenestration products (i.e. windows, curtain walls, store fronts, etc.). Aluminum framing systems are often required in commercial buildings because of their inherent good structural properties and long service life, which is required from commercial and architectural frames. At the same time, they are lightweight and durable, requiring very little maintenance, and offer design flexibility. An additional benefit of aluminum framing systems is their relatively low cost and easy manufacturability. Aluminum, being an easily recyclable material, also offers sustainable features. However, from energy efficiency point of view, aluminum frames have lower thermal performance due to the very high thermal conductivity of aluminum. Fenestration systems constructed of aluminum alloys therefore have lower performance in terms of being effective barrier to energy transfer (heat loss or gain). Despite the lower energy performance, aluminum is the choice material for commercial framing systems and dominates the commercial/architectural fenestration market because of the reasons mentioned above. In addition, there is no other cost effective and energy efficient replacement material available to take place of aluminum in the commercial/architectural market. Hence it is imperative to improve the performance of aluminum framing system to improve the energy performance of commercial fenestration system and in turn reduce the energy consumption of commercial building and achieve zero energy building by 2025. The objective of this project was to develop high performance, energy efficient commercial fenestration framing systems, by investigating new technologies that would improve the thermal performance of aluminum frames, while maintaining their structural and life-cycle performance. The project targeted an improvement of over 30% (whole window performance) over conventional commercial framing technology by improving the performance of commercial framing systems.

  14. Building and measuring a high performance network architecture

    SciTech Connect (OSTI)

    Kramer, William T.C.; Toole, Timothy; Fisher, Chuck; Dugan, Jon; Wheeler, David; Wing, William R; Nickless, William; Goddard, Gregory; Corbato, Steven; Love, E. Paul; Daspit, Paul; Edwards, Hal; Mercer, Linden; Koester, David; Decina, Basil; Dart, Eli; Paul Reisinger, Paul; Kurihara, Riki; Zekauskas, Matthew J; Plesset, Eric; Wulf, Julie; Luce, Douglas; Rogers, James; Duncan, Rex; Mauth, Jeffery

    2001-04-20

    Once a year, the SC conferences present a unique opportunity to create and build one of the most complex and highest performance networks in the world. At SC2000, large-scale and complex local and wide area networking connections were demonstrated, including large-scale distributed applications running on different architectures. This project was designed to use the unique opportunity presented at SC2000 to create a testbed network environment and then use that network to demonstrate and evaluate high performance computational and communication applications. This testbed was designed to incorporate many interoperable systems and services and was designed for measurement from the very beginning. The end results were key insights into how to use novel, high performance networking technologies and to accumulate measurements that will give insights into the networks of the future.

  15. High Performance Valve Materials | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High PerformancePerformance Valve

  16. Large Scale Computing and Storage Requirements for High Energy Physics

    E-Print Network [OSTI]

    Gerber, Richard A.

    2011-01-01

    Journal of Computational Physics, Large Scale Computing andRequirements for High Energy Physics [3] A. S. Almgren, J.Journal of Computational Physics, 87:171–200, 1990. [7] G.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-DoseOptionsthroughput spectrometerEnergyChemistrythe

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article) | SciTechSubmitted More Often (GISMO) GISMOGridLattice

  19. High energy neutron Computed Tomography developed

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D. Title: Professor -|High energy neutron Computed

  20. 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...

  1. High-Performance Leasing for State and Local Governments

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Describes the value of high-performance leasing and how states can lead by example by using high-performance leases in their facilities and encourage high-performance leasing in the private sector.

  2. ADVANCED WUFI COMPUTER MODELING WORKSHOP FOR WALL DESIGN AND PERFORMANCE

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    TRANSFER IN BUILDING ENVELOPES) Napa, CA, January 30 - February 1, 2012 WUFI/ORNL1 Program made availableADVANCED WUFI COMPUTER MODELING WORKSHOP FOR WALL DESIGN AND PERFORMANCE (HEAT AND MOISTURE-Institut für Bauphysik (IBP) and co-sponsored by the National Institute of Building Sciences (NIBS)/ Building

  3. WUFI COMPUTER MODELING WORKSHOP FOR WALL DESIGN AND PERFORMANCE

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    from rain, solar radiation and other crucial weather events on an hourly basis. Both vapor and liquid which can easily be selected from a map. The temporal behavior of the computed quantities (temperatures tell me ­ performance predicting · Mold growth predictions ­ new post-processing modules · Development

  4. Small-Scale High-Performance Optics

    SciTech Connect (OSTI)

    WILSON, CHRISTOPHER W.; LEGER, CHRIS L.; SPLETZER, BARRY L.

    2002-06-01

    Historically, high resolution, high slew rate optics have been heavy, bulky, and expensive. Recent advances in MEMS (Micro Electro Mechanical Systems) technology and micro-machining may change this. Specifically, the advent of steerable sub-millimeter sized mirror arrays could provide the breakthrough technology for producing very small-scale high-performance optical systems. For example, an array of steerable MEMS mirrors could be the building blocks for a Fresnel mirror of controllable focal length and direction of view. When coupled with a convex parabolic mirror the steerable array could realize a micro-scale pan, tilt and zoom system that provides full CCD sensor resolution over the desired field of view with no moving parts (other than MEMS elements). This LDRD provided the first steps towards the goal of a new class of small-scale high-performance optics based on MEMS technology. A large-scale, proof of concept system was built to demonstrate the effectiveness of an optical configuration applicable to producing a small-scale (< 1cm) pan and tilt imaging system. This configuration consists of a color CCD imager with a narrow field of view lens, a steerable flat mirror, and a convex parabolic mirror. The steerable flat mirror directs the camera's narrow field of view to small areas of the convex mirror providing much higher pixel density in the region of interest than is possible with a full 360 deg. imaging system. Improved image correction (dewarping) software based on texture mapping images to geometric solids was developed. This approach takes advantage of modern graphics hardware and provides a great deal of flexibility for correcting images from various mirror shapes. An analytical evaluation of blur spot size and axi-symmetric reflector optimization were performed to address depth of focus issues that occurred in the proof of concept system. The resulting equations will provide the tools for developing future system designs.

  5. Innovative High-Performance Deposition Technology for Low-Cost...

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

    Innovative High-Performance Deposition Technology for Low-Cost Manufacturing of OLED Lighting Innovative High-Performance Deposition Technology for Low-Cost Manufacturing of OLED...

  6. High-Performance Home Technologies: Solar Thermal & Photovoltaic...

    Energy Savers [EERE]

    High-Performance Home Technologies: Solar Thermal & Photovoltaic Systems; Volume 6 Building America Best Practices Series High-Performance Home Technologies: Solar Thermal &...

  7. Webinar: ENERGY STAR Hot Water Systems for High Performance Homes...

    Energy Savers [EERE]

    Webinar: ENERGY STAR Hot Water Systems for High Performance Homes Webinar: ENERGY STAR Hot Water Systems for High Performance Homes This presentation is from the Building America...

  8. Overcoming Processing Cost Barriers of High-Performance Lithium...

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

    Processing Cost Barriers of High-Performance Lithium-Ion Battery Electrodes Overcoming Processing Cost Barriers of High-Performance Lithium-Ion Battery Electrodes 2012 DOE Hydrogen...

  9. DOE Announces Webinars on High Performance Space Conditioning...

    Energy Savers [EERE]

    High Performance Space Conditioning Systems, Tribal Renewable Energy, and More DOE Announces Webinars on High Performance Space Conditioning Systems, Tribal Renewable Energy, and...

  10. Enhanced High Temperature Performance of NOx Storage/Reduction...

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

    CLEERS Aftertreatment Modeling and Analysis Enhanced High Temperature Performance of NOx StorageReduction (NSR) Materials Enhanced High and Low Temperature Performance of NOx...

  11. Federal Leadership in High Performance and Sustainable Buildings...

    Energy Savers [EERE]

    Federal Leadership in High Performance and Sustainable Buildings Memorandum of Understanding Federal Leadership in High Performance and Sustainable Buildings Memorandum of...

  12. High-Performance Affordable Housing with Habitat for Humanity...

    Office of Environmental Management (EM)

    High-Performance Affordable Housing with Habitat for Humanity - Building America Top Innovation High-Performance Affordable Housing with Habitat for Humanity - Building America Top...

  13. New rocket propellant and motor design offer high-performance...

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

    New rocket propellant and motor design offer high-performance and safety New rocket propellant and motor design offer high-performance and safety Scientists recently flight tested...

  14. ARIES: Building America, High Performance Factory Built Housing...

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

    ARIES: Building America, High Performance Factory Built Housing - 2015 Peer Review ARIES: Building America, High Performance Factory Built Housing - 2015 Peer Review Presenter:...

  15. Energy Design Guidelines for High Performance Schools: Hot and...

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

    Design Guidelines for High Performance Schools: Hot and Humid Climates Energy Design Guidelines for High Performance Schools: Hot and Humid Climates School districts around the...

  16. Building America Webinar: High-Performance Enclosure Strategies...

    Energy Savers [EERE]

    Webinar: High-Performance Enclosure Strategies, Part I: Unvented Roof Systems and Innovative Advanced Framing Strategies Building America Webinar: High-Performance Enclosure...

  17. Reduced Call-Backs with High Performance Production Builders...

    Energy Savers [EERE]

    Reduced Call-Backs with High Performance Production Builders - Building America Top Innovation Reduced Call-Backs with High Performance Production Builders - Building America Top...

  18. NSF/DOE Thermoelectric Partnership: High-Performance Thermoelectric...

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

    High-Performance Thermoelectric Devices Based on Abundant Silicide Materials for Vehicle Waste Heat Recovery NSFDOE Thermoelectric Partnership: High-Performance Thermoelectric...

  19. Large Scale Computing and Storage Requirements for High Energy Physics

    SciTech Connect (OSTI)

    Gerber, Richard A.; Wasserman, Harvey

    2010-11-24

    The National Energy Research Scientific Computing Center (NERSC) is the leading scientific computing facility for the Department of Energy's Office of Science, providing high-performance computing (HPC) resources to more than 3,000 researchers working on about 400 projects. NERSC provides large-scale computing resources and, crucially, the support and expertise needed for scientists to make effective use of them. In November 2009, NERSC, DOE's Office of Advanced Scientific Computing Research (ASCR), and DOE's Office of High Energy Physics (HEP) held a workshop to characterize the HPC resources needed at NERSC to support HEP research through the next three to five years. The effort is part of NERSC's legacy of anticipating users needs and deploying resources to meet those demands. The workshop revealed several key points, in addition to achieving its goal of collecting and characterizing computing requirements. The chief findings: (1) Science teams need access to a significant increase in computational resources to meet their research goals; (2) Research teams need to be able to read, write, transfer, store online, archive, analyze, and share huge volumes of data; (3) Science teams need guidance and support to implement their codes on future architectures; and (4) Projects need predictable, rapid turnaround of their computational jobs to meet mission-critical time constraints. This report expands upon these key points and includes others. It also presents a number of case studies as representative of the research conducted within HEP. Workshop participants were asked to codify their requirements in this case study format, summarizing their science goals, methods of solution, current and three-to-five year computing requirements, and software and support needs. Participants were also asked to describe their strategy for computing in the highly parallel, multi-core environment that is expected to dominate HPC architectures over the next few years. The report includes a section that describes efforts already underway or planned at NERSC that address requirements collected at the workshop. NERSC has many initiatives in progress that address key workshop findings and are aligned with NERSC's strategic plans.

  20. DOE High Performance Concentrator PV Project

    SciTech Connect (OSTI)

    McConnell, R.; Symko-Davies, M.

    2005-08-01

    Much in demand are next-generation photovoltaic (PV) technologies that can be used economically to make a large-scale impact on world electricity production. The U.S. Department of Energy (DOE) initiated the High-Performance Photovoltaic (HiPerf PV) Project to substantially increase the viability of PV for cost-competitive applications so that PV can contribute significantly to both our energy supply and environment. To accomplish such results, the National Center for Photovoltaics (NCPV) directs in-house and subcontracted research in high-performance polycrystalline thin-film and multijunction concentrator devices with the goal of enabling progress of high-efficiency technologies toward commercial-prototype products. We will describe the details of the subcontractor and in-house progress in exploring and accelerating pathways of III-V multijunction concentrator solar cells and systems toward their long-term goals. By 2020, we anticipate that this project will have demonstrated 33% system efficiency and a system price of $1.00/Wp for concentrator PV systems using III-V multijunction solar cells with efficiencies over 41%.

  1. Sandia Energy - High-Resolution Computational Algorithms for...

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

    High-Resolution Computational Algorithms for Simulating Offshore Wind Farms Home Stationary Power Energy Conversion Efficiency Wind Energy Offshore Wind High-Resolution...

  2. Bond Computing Systems: a Biologically Inspired and High-level Dynamics Model for Pervasive Computing

    E-Print Network [OSTI]

    Dang, Zhe

    Bond Computing Systems: a Biologically Inspired and High-level Dynamics Model for Pervasive. Targeting at modeling the high-level dynamics of pervasive comput- ing systems, we introduce Bond Computing are regular, and study their computation power and verification problems. Among other results, we show

  3. High Performance Piezoelectric Actuated Gimbal (HIERAX)

    SciTech Connect (OSTI)

    Charles Tschaggeny; Warren Jones; Eberhard Bamberg

    2007-04-01

    This paper presents a 3-axis gimbal whose three rotational axes are actuated by a novel drive system: linear piezoelectric motors whose linear output is converted to rotation by using drive disks. Advantages of this technology are: fast response, high accelerations, dither-free actuation and backlash-free positioning. The gimbal was developed to house a laser range finder for the purpose of tracking and guiding unmanned aerial vehicles during landing maneuvers. The tilt axis was built and the test results indicate excellent performance that meets design specifications.

  4. CONTINUED HIGH PERFORMANCE ENERGY MANAGEMENT COMPANY Fitesa

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B LReports from the CloudGEGR-N Goods PO 1 ofHIGH PERFORMANCE

  5. NREL: Photovoltaics Research - High-Performance Photovoltaics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12Working withPhoto of1855 m,DanielHigh-Performance

  6. High-performance laboratories and cleanrooms

    SciTech Connect (OSTI)

    Tschudi, William; Sartor, Dale; Mills, Evan; Xu, Tengfang

    2002-07-01

    The California Energy Commission sponsored this roadmap to guide energy efficiency research and deployment for high performance cleanrooms and laboratories. Industries and institutions utilizing these building types (termed high-tech buildings) have played an important part in the vitality of the California economy. This roadmap's key objective to present a multi-year agenda to prioritize and coordinate research efforts. It also addresses delivery mechanisms to get the research products into the market. Because of the importance to the California economy, it is appropriate and important for California to take the lead in assessing the energy efficiency research needs, opportunities, and priorities for this market. In addition to the importance to California's economy, energy demand for this market segment is large and growing (estimated at 9400 GWH for 1996, Mills et al. 1996). With their 24hr. continuous operation, high tech facilities are a major contributor to the peak electrical demand. Laboratories and cleanrooms constitute the high tech building market, and although each building type has its unique features, they are similar in that they are extremely energy intensive, involve special environmental considerations, have very high ventilation requirements, and are subject to regulations--primarily safety driven--that tend to have adverse energy implications. High-tech buildings have largely been overlooked in past energy efficiency research. Many industries and institutions utilize laboratories and cleanrooms. As illustrated, there are many industries operating cleanrooms in California. These include semiconductor manufacturing, semiconductor suppliers, pharmaceutical, biotechnology, disk drive manufacturing, flat panel displays, automotive, aerospace, food, hospitals, medical devices, universities, and federal research facilities.

  7. High Performance Permanent Magnets for Advanced Motors | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡High Performance ComputingEnergy

  8. Program Balance and its Impact on High Performance RISC Architectures Lizy Kurian John and Vinod Reddy

    E-Print Network [OSTI]

    John, Lizy Kurian

    Program Balance and its Impact on High Performance RISC Architectures Lizy Kurian John and Vinod of functional units in high performance architectures. In this paper, we present stud- ies on the balance. A balance metric that indicates the match of ac- cessing power to computation power is calculated

  9. 12003 Workshop on High Performance Switching and Routing M.Atiquzzaman, Univ. of Oklahoma, June 2003.

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    12003 Workshop on High Performance Switching and Routing M.Atiquzzaman, Univ. of Oklahoma, June Fu) School of Computer Science University of Oklahoma, Norman, OK 73019-6151. Email: atiq@ou.edu #12;22003 Workshop on High Performance Switching and Routing M.Atiquzzaman, Univ. of Oklahoma, June 2003

  10. Scientific Computing for Psychological and Brain Sciences

    E-Print Network [OSTI]

    Palmeri, Thomas

    practices high performance computing how to think computationally #12;Why do we program in psychology

  11. High-performance, high-volume fly ash concrete

    SciTech Connect (OSTI)

    2008-01-15

    This booklet offers the construction professional an in-depth description of the use of high-volume fly ash in concrete. Emphasis is placed on the need for increased utilization of coal-fired power plant byproducts in lieu of Portland cement materials to eliminate increased CO{sub 2} emissions during the production of cement. Also addressed is the dramatic increase in concrete performance with the use of 50+ percent fly ash volume. The booklet contains numerous color and black and white photos, charts of test results, mixtures and comparisons, and several HVFA case studies.

  12. High performance internal reforming unit for high temperature fuel cells

    DOE Patents [OSTI]

    Ma, Zhiwen (Sandy Hook, CT); Venkataraman, Ramakrishnan (New Milford, CT); Novacco, Lawrence J. (Brookfield, CT)

    2008-10-07

    A fuel reformer having an enclosure with first and second opposing surfaces, a sidewall connecting the first and second opposing surfaces and an inlet port and an outlet port in the sidewall. A plate assembly supporting a catalyst and baffles are also disposed in the enclosure. A main baffle extends into the enclosure from a point of the sidewall between the inlet and outlet ports. The main baffle cooperates with the enclosure and the plate assembly to establish a path for the flow of fuel gas through the reformer from the inlet port to the outlet port. At least a first directing baffle extends in the enclosure from one of the sidewall and the main baffle and cooperates with the plate assembly and the enclosure to alter the gas flow path. Desired graded catalyst loading pattern has been defined for optimized thermal management for the internal reforming high temperature fuel cells so as to achieve high cell performance.

  13. Agglomeration Economies and the High-Tech Computer

    E-Print Network [OSTI]

    Wallace, Nancy E.; Walls, Donald

    2004-01-01

    Job Composition in 2002: High-Tech Hardware Firms Lucent2003, Globalization of a High-Tech Economy (Kluwer, NewEconomies and the High-Tech Computer Cluster Nancy E.

  14. Parallel Programming for High-Performance Applications

    E-Print Network [OSTI]

    Bal, Henri E.

    into a rather dull and routine occupation'' · S. Gill, Computer Journal, 1958 #12;Why do we need parallel important #12;Moore's law (1975) · Circuit complexity doubles every 18 months · Exponential transistor machines (Blue Gene) · 2000s: grid computing: combining resources world- wide (Globus) · Now: multicores

  15. High Performance MPI on IBM 12x InfiniBand Architecture Abhinav Vishnu Brad Benton

    E-Print Network [OSTI]

    Panda, Dhabaleswar K.

    . Panda Network Based Computing Lab Department of Computer Science and Engineering The Ohio StateHigh Performance MPI on IBM 12x InfiniBand Architecture Abhinav Vishnu Brad Benton Dhabaleswar K University {vishnu, panda}@cse.ohio-state.edu IBM Austin 11501 Burnet Road Austin, TX 78758 {brad.benton}@us.ibm

  16. Sector and Sphere: The Design and Implementation of a High Performance Data Cloud

    E-Print Network [OSTI]

    Grossman, Robert

    1 Sector and Sphere: The Design and Implementation of a High Performance Data Cloud Yunhong Gu ABSTRACT Cloud computing has demonstrated that processing very large datasets over commodity clusters can and implementation of the Sector storage cloud and the Sphere compute cloud. In contrast to existing storage

  17. High-performance commercial building systems

    E-Print Network [OSTI]

    Selkowitz, Stephen

    2003-01-01

    Energy Performance Simulation with Software Interoperability A-5 Integrated Building Equipment Communications Systems (

  18. Bond Computing Systems: a Biologically Inspired and High-level Dynamics Model for Pervasive Computing

    E-Print Network [OSTI]

    Dang, Zhe

    Bond Computing Systems: a Biologically Inspired and High-level Dynamics Model for Pervasive their com- putation power and verification problems. Among other results, we show that the computing power) techniques for pervasive computing systems. At a high-level, there are at least two views in modeling

  19. Enhanced High and Low Temperature Performance of NOx Reduction...

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

    and Low Temperature Performance of NOx Reduction Materials Enhanced High and Low Temperature Performance of NOx Reduction Materials 2013 DOE Hydrogen and Fuel Cells Program and...

  20. A Survey of High-Quality Computational Libraries and their Impactin Science and Engineering Applications

    SciTech Connect (OSTI)

    Drummond, L.A.; Hernandez, V.; Marques, O.; Roman, J.E.; Vidal, V.

    2004-09-20

    Recently, a number of important scientific and engineering problems have been successfully studied and solved by means of computational modeling and simulation. Many of these computational models and simulations benefited from the use of available software tools and libraries to achieve high performance and portability. In this article, we present a reference matrix of the performance of robust, reliable and widely used tools mapped to scientific and engineering applications that use them. We aim at regularly maintaining and disseminating this matrix to the computational science community. This matrix will contain information on state-of-the-art computational tools, their applications and their use.

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

    DOE Patents [OSTI]

    Faraj, Ahmad

    2013-07-09

    Methods, apparatus, and products are disclosed for performing an allreduce operation on a plurality of compute nodes of a parallel computer, each node including at least two processing cores, that include: establishing, for each node, a plurality of logical rings, each ring including a different set of at least one core on that node, each ring including the cores on at least two of the nodes; iteratively for each node: assigning each core of that node to one of the rings established for that node to which the core has not previously been assigned, and performing, for each ring for that node, a global allreduce operation using contribution data for the cores assigned to that ring or any global allreduce results from previous global allreduce operations, yielding current global allreduce results for each core; and performing, for each node, a local allreduce operation using the global allreduce results.

  2. Energy Proportionality and Performance in Data Parallel Computing Clusters

    SciTech Connect (OSTI)

    Kim, Jinoh; Chou, Jerry; Rotem, Doron

    2011-02-14

    Energy consumption in datacenters has recently become a major concern due to the rising operational costs andscalability issues. Recent solutions to this problem propose the principle of energy proportionality, i.e., the amount of energy consumedby the server nodes must be proportional to the amount of work performed. For data parallelism and fault tolerancepurposes, most common file systems used in MapReduce-type clusters maintain a set of replicas for each data block. A coveringset is a group of nodes that together contain at least one replica of the data blocks needed for performing computing tasks. In thiswork, we develop and analyze algorithms to maintain energy proportionality by discovering a covering set that minimizesenergy consumption while placing the remaining nodes in lowpower standby mode. Our algorithms can also discover coveringsets in heterogeneous computing environments. In order to allow more data parallelism, we generalize our algorithms so that itcan discover k-covering sets, i.e., a set of nodes that contain at least k replicas of the data blocks. Our experimental results showthat we can achieve substantial energy saving without significant performance loss in diverse cluster configurations and workingenvironments.

  3. High-reliability computing for the smarter planet

    SciTech Connect (OSTI)

    Quinn, Heather M [Los Alamos National Laboratory; Graham, Paul [Los Alamos National Laboratory; Manuzzato, Andrea [UNIV OF PADOVA; Dehon, Andre [UNIV OF PENN; Carter, Nicholas [INTEL CORPORATION

    2010-01-01

    The geometric rate of improvement of transistor size and integrated circuit performance, known as Moore's Law, has been an engine of growth for our economy, enabling new products and services, creating new value and wealth, increasing safety, and removing menial tasks from our daily lives. Affordable, highly integrated components have enabled both life-saving technologies and rich entertainment applications. Anti-lock brakes, insulin monitors, and GPS-enabled emergency response systems save lives. Cell phones, internet appliances, virtual worlds, realistic video games, and mp3 players enrich our lives and connect us together. Over the past 40 years of silicon scaling, the increasing capabilities of inexpensive computation have transformed our society through automation and ubiquitous communications. In this paper, we will present the concept of the smarter planet, how reliability failures affect current systems, and methods that can be used to increase the reliable adoption of new automation in the future. We will illustrate these issues using a number of different electronic devices in a couple of different scenarios. Recently IBM has been presenting the idea of a 'smarter planet.' In smarter planet documents, IBM discusses increased computer automation of roadways, banking, healthcare, and infrastructure, as automation could create more efficient systems. A necessary component of the smarter planet concept is to ensure that these new systems have very high reliability. Even extremely rare reliability problems can easily escalate to problematic scenarios when implemented at very large scales. For life-critical systems, such as automobiles, infrastructure, medical implantables, and avionic systems, unmitigated failures could be dangerous. As more automation moves into these types of critical systems, reliability failures will need to be managed. As computer automation continues to increase in our society, the need for greater radiation reliability is necessary. Already critical infrastructure is failing too frequently. In this paper, we will introduce the Cross-Layer Reliability concept for designing more reliable computer systems.

  4. 9/10/2002 Internet/Grid Computing -Fall 2002 1 What is Performance for Internet/Grid Computation?

    E-Print Network [OSTI]

    Browne, James C.

    9/10/2002 Internet/Grid Computing - Fall 2002 1 What is Performance for Internet/Grid Computation? Goals for Internet/Grid Computation? Do things you cannot otherwise do because of: Lack of Capacity Large scale computations Cost SETI Scale/Scope of communication Internet searches All of the above #12

  5. Project Profile: Development and Performance Evaluation of High...

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

    Evaluation of High Temperature Concrete for Thermal Energy Storage for Solar Power Generation Project Profile: Development and Performance Evaluation of High Temperature Concrete...

  6. Language and Compiler Issues in Scalable High Performance Scientific Libraries

    E-Print Network [OSTI]

    Johnsson, S. Lennart

    Language and Compiler Issues in Scalable High Performance Scientific Libraries S. Lennart Johnsson Issues in Scalable High Performance Scientific Libraries S. Lennart Johnsson Harvard University and Thinking Machines Corp. Abstract Library functions for scalable architectures must be designed to correctly

  7. High Performance Home Building Guide for Habitat for Humanity Affiliates

    SciTech Connect (OSTI)

    Lindsey Marburger

    2010-10-01

    This guide covers basic principles of high performance Habitat construction, steps to achieving high performance Habitat construction, resources to help improve building practices, materials, etc., and affiliate profiles and recommendations.

  8. The Performative Portrait: Iconic Embodiment in Ubiquitous Computing

    E-Print Network [OSTI]

    Heinrich, Falk

    2009-01-01

    of the portrait in ubiquitous computing. The users form byIconic Embodiment in Ubiquitous Computing Falk Heinrich

  9. Symmetric Active/Active HighSymmetric Active/Active High Availability for HighAvailability for High--PerformancePerformance

    E-Print Network [OSTI]

    Engelmann, Christian

    Symmetric Active/Active HighSymmetric Active/Active High Availability for HighAvailability for High reliability and availability is deceasing rapidlyHPC system reliability and availability is deceasing rapidly memory)bit errors in ECC memory) High availability as well as high performance isHigh availability

  10. HLA RTI Performance in High Speed LAN Environments Richard Fujimoto, PhD 1

    E-Print Network [OSTI]

    HLA RTI Performance in High Speed LAN Environments Richard Fujimoto, PhD 1 College Of Computing. Specifically, the UK­RTI and a second, simplified RTI implementation were realized on a cluster of Sun. The performance of these implementations was compared with the UK­RTI and version 1.3 of the DMSO RTI using UDP

  11. HLA RTI Performance in High Speed LAN Environments Richard Fujimoto, PhD1

    E-Print Network [OSTI]

    HLA RTI Performance in High Speed LAN Environments Richard Fujimoto, PhD1 College Of Computing. Specifically, the UK-RTI and a second, simplified RTI implementation were realized on a cluster of Sun. The performance of these implementations was compared with the UK-RTI and version 1.3 of the DMSO RTI using UDP

  12. High Performance, Low Cost Hydrogen Generation from

    E-Print Network [OSTI]

    .0: Catalyst Optimization ­ Control catalyst loading ­ Improve application · Task 2.1: Computational Cell Model Catalyst Flow fields PFSA materials, reduced thickness Process improvements/ reduced loading Higher functionality · Task 3.0: Low Cost Manufacturing ­ Laminate concepts ­ Alternate processes · Task 4

  13. Open Problems in Network-aware Data Management in Exa-scale Computing and Terabit Networking Era

    E-Print Network [OSTI]

    Balman, Mehmet

    2014-01-01

    1st Workshop on High-Performance Computing meets Databases (Provisioning,High Performance Computing, Networking, StorageConference for High Performance Computing, Networking,

  14. Theories and Techniques for Efficient High-End Computing Dissertation submitted to the Faculty of the

    E-Print Network [OSTI]

    Ge, Rong

    megawatts of electric power but deliver only 10­15% of peak system perfor- mance for applications in power scalable systems. This model quantifies the impact of processor frequency and power on instruction: High End Computing, Performance Modeling and Analysis, Power-Performance Efficiency, Power

  15. Bedford Farmhouse High Performance Retrofit Prototype

    SciTech Connect (OSTI)

    2010-04-26

    In this case study, Building Science Corporation partnered with Habitat for Humanity of Greater Lowell on a retrofit of a mid-19th century farmhouse into affordable housing meeting Building America performance standards.

  16. High Performance Electrolyzers for Hybrid Thermochemical Cycles

    SciTech Connect (OSTI)

    Dr. John W. Weidner

    2009-05-10

    Extensive electrolyzer testing was performed at the University of South Carolina (USC). Emphasis was given to understanding water transport under various operating (i.e., temperature, membrane pressure differential and current density) and design (i.e., membrane thickness) conditions when it became apparent that water transport plays a deciding role in cell voltage. A mathematical model was developed to further understand the mechanisms of water and SO2 transport, and to predict the effect of operating and design parameters on electrolyzer performance.

  17. Tamanoir : High Performance Active NetworkingTamanoir : High Performance Active Networking Jean-Patrick Gelas, Laurent Lefvre, Saad El Hadri

    E-Print Network [OSTI]

    Lefčvre, Laurent

    .linuxvirtualserver.org) · Improve scalability and availability · 3 approaches: NAT, Direct Routing (MAC), Tunneling (IPIP or any network equipments (like gateway or proxy) within the network can perform computations on user

  18. Language interoperability for high-performance parallel scientific components

    SciTech Connect (OSTI)

    Elliot, N; Kohn, S; Smolinski, B

    1999-05-18

    With the increasing complexity and interdisciplinary nature of scientific applications, code reuse is becoming increasingly important in scientific computing. One method for facilitating code reuse is the use of components technologies, which have been used widely in industry. However, components have only recently worked their way into scientific computing. Language interoperability is an important underlying technology for these component architectures. In this paper, we present an approach to language interoperability for a high-performance parallel, component architecture being developed by the Common Component Architecture (CCA) group. Our approach is based on Interface Definition Language (IDL) techniques. We have developed a Scientific Interface Definition Language (SIDL), as well as bindings to C and Fortran. We have also developed a SIDL compiler and run-time library support for reference counting, reflection, object management, and exception handling (Babel). Results from using Babel to call a standard numerical solver library (written in C) from C and Fortran show that the cost of using Babel is minimal, where as the savings in development time and the benefits of object-oriented development support for C and Fortran far outweigh the costs.

  19. System Identification and Modelling of a High Performance Hydraulic Actuator

    E-Print Network [OSTI]

    Hayward, Vincent

    System Identification and Modelling of a High Performance Hydraulic Actuator Benoit Boulet, Laeeque with the experimental identification and modelling of the nonlinear dynamics ofa high performance hydraulic actuator. The actuator properties and performance are also discussed. 1 Introduction Hydraulic actuation used to be

  20. High Performance Green LEDs by Homoepitaxial

    SciTech Connect (OSTI)

    Wetzel, Christian; Schubert, E Fred

    2009-11-22

    This work's objective was the development of processes to double or triple the light output power from green and deep green (525 - 555 nm) AlGaInN light emitting diode (LED) dies within 3 years in reference to the Lumileds Luxeon II. The project paid particular effort to all aspects of the internal generation efficiency of light. LEDs in this spectral region show the highest potential for significant performance boosts and enable the realization of phosphor-free white LEDs comprised by red-green-blue LED modules. Such modules will perform at and outperform the efficacy target projections for white-light LED systems in the Department of Energy's accelerated roadmap of the SSL initiative.

  1. Groundbreaking High-Performance Building Districts 

    E-Print Network [OSTI]

    Jordan, J.

    2014-01-01

    to track and analysis performance In-kind member professional services and contributions, including project scoping and feasibility Influence on District-related policy issues, including incentives Member/Partner Benefits ESL-KT-14-11-28 CATEE 2014.... 18-20 Professional Services Stakeholder Opportunities to reach an engaged audience of developers, property owners and property managers Access to the most up-to-date information regarding potential new and renovation projects within the 2030...

  2. Performing a global barrier operation in a parallel computer

    DOE Patents [OSTI]

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

    2014-12-09

    Executing computing tasks on a parallel computer that includes compute nodes coupled for data communications, where each compute node executes tasks, with one task on each compute node designated as a master task, including: for each task on each compute node until all master tasks have joined a global barrier: determining whether the task is a master task; if the task is not a master task, joining a single local barrier; if the task is a master task, joining the global barrier and the single local barrier only after all other tasks on the compute node have joined the single local barrier.

  3. Computational Methods for High-Dimensional Rotations

    E-Print Network [OSTI]

    Buja, Andreas

    . To be useful, virtual rotations need to be under interactive user control, and they need to be animated. We scatters in virtual 3-D space. Although not obvivous, three-dimensional data rotations can be extended is due to the power of human 3-D perception and the natural controls they afford. To perform 3-D

  4. High Performance Active Perimeter Building Systems

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡ ¢HelpHighJianDepartmentHighINSERT

  5. Project Profile: High-Performance Nanostructured Coating

    Broader source: Energy.gov [DOE]

    The University of California San Diego, under the 2012 SunShot Concentrating Solar Power (CSP) R&D funding opportunity announcement (FOA), is developing a new low-cost and scalable process for fabricating spectrally selective coatings (SSCs) to be used in solar absorbers for high-temperature CSP systems.

  6. High-performance commercial building facades

    SciTech Connect (OSTI)

    Lee, Eleanor; Selkowitz, Stephen; Bazjanac, Vladimir; Inkarojrit, Vorapat; Kohler, Christian

    2002-06-01

    This study focuses on advanced building facades that use daylighting, sun control, ventilation systems, and dynamic systems. A quick perusal of the leading architectural magazines, or a discussion in most architectural firms today will eventually lead to mention of some of the innovative new buildings that are being constructed with all-glass facades. Most of these buildings are appearing in Europe, although interestingly U.S. A/E firms often have a leading role in their design. This ''emerging technology'' of heavily glazed fagades is often associated with buildings whose design goals include energy efficiency, sustainability, and a ''green'' image. While there are a number of new books on the subject with impressive photos and drawings, there is little critical examination of the actual performance of such buildings, and a generally poor understanding as to whether they achieve their performance goals, or even what those goals might be. Even if the building ''works'' it is often dangerous to take a design solution from one climate and location and transport it to a new one without a good causal understanding of how the systems work. In addition, there is a wide range of existing and emerging glazing and fenestration technologies in use in these buildings, many of which break new ground with respect to innovative structural use of glass. It is unclear as to how well many of these designs would work as currently formulated in California locations dominated by intense sunlight and seismic events. Finally, the costs of these systems are higher than normal facades, but claims of energy and productivity savings are used to justify some of them. Once again these claims, while plausible, are largely unsupported. There have been major advances in glazing and facade technology over the past 30 years and we expect to see continued innovation and product development. It is critical in this process to be able to understand which performance goals are being met by current technology and design solutions, and which ones need further development and refinement. The primary goal of this study is to clarify the state-of-the-art of the performance of advanced building facades so that California building owners and designers can make informed decisions as to the value of these building concepts in meeting design goals for energy efficiency, ventilation, productivity and sustainability.

  7. A Survey of High Performance Schools 

    E-Print Network [OSTI]

    Im, P.; Haberl, J. S.

    2006-01-01

    , S., Kurn, D., & Hanford, J. 1997. Peak power and cooling energy savings of high- albedo roofs. Energy and Buildings, 25, 117-126. ASHRAE. 1999. ASHRAE Standard 90.1-1999. Atalanta, GA: American Society of Heating, Refrigerating and Air... in old school buildings. Energy and Buildings, 29, 241-246. Callahan, Michael P., Danny S. Parker, Wanda L. Dutton, Janet E.R. McIlvaine. 1997. Energy Efficiency for Florida Educational Facilities: The 1996 Energy Survey of Florida Schools. Final...

  8. High Performance Thermal Interface Technology Overview

    E-Print Network [OSTI]

    R. Linderman; T. Brunschwiler; B. Smith; B. Michel

    2008-01-07

    An overview on recent developments in thermal interfaces is given with a focus on a novel thermal interface technology that allows the formation of 2-3 times thinner bondlines with strongly improved thermal properties at lower assembly pressures. This is achieved using nested hierarchical surface channels to control the particle stacking with highly particle-filled materials. Reliability testing with thermal cycling has also demonstrated a decrease in thermal resistance after extended times with longer overall lifetime compared to a flat interface.

  9. Stretchable and High-Performance Supercapacitors with Crumpled Graphene Papers

    E-Print Network [OSTI]

    Zang, Jianfeng

    Fabrication of unconventional energy storage devices with high stretchability and performance is challenging, but critical to practical operations of fully power-independent stretchable electronics. While supercapacitors ...

  10. Innovative High-Performance Deposition Technology for Low-Cost...

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

    Hamer, Tim Spencer OLEDWorks LLC Innovative High-Performance Deposition Technology for Low-Cost Manufacturing of OLED Lighting 2015 Building Technologies Office Peer Review DOE...

  11. High-Performance Renewable Base Oils for Industrial Lubricants...

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

    High-Performance Renewable Base Oils for Industrial Lubricants Plant-Based Synthetic Lubricant Base Stock Reduces Emissions Dependence on foreign oil is a growing concern, as is...

  12. High Performance Valve Materials (HPVM) (Agreement 16304) | Department...

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

    Materials (HPVM) (Agreement 16304) High Performance Valve Materials (HPVM) (Agreement 16304) Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008...

  13. Enhanced High Temperature Performance of NOx Storage/Reduction...

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

    Program Annual Merit Review and Peer Evaluation ace026peden2011o.pdf More Documents & Publications Enhanced High Temperature Performance of NOx StorageReduction (NSR) Materials...

  14. Friction Stir Additive Manufacturing for High Structural Performance...

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

    Friction Stir Additive Manufacturing as a potential route to achieve high performing structures James Withers MER Corporation Rajiv S. Mishra Center for Friction Stir Processing,...

  15. Technology Transfer Webinar on November 12: High-Performance...

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

    Transfer Webinar on November 12: High-Performance Hybrid SimulationMeasurement-Based Tools for Proactive Operator Decision-Support Technology Transfer Webinar on November 12:...

  16. Interface design principles for high-performance organic semiconductor...

    Office of Scientific and Technical Information (OSTI)

    Interface design principles for high-performance organic semiconductor devices Organic solar cells (OSCs) are a promising cost-effective candidate in next generation photovoltaic...

  17. High Performance Without Increased Cost: Urbane Homes, Louisville...

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

    America field projects that demonstrated minimal or cost-neutral impacts for high-performance homes and that have significantly influenced the housing industry to apply advanced...

  18. Ceph: A Scalable, High-Performance Distributed File System

    E-Print Network [OSTI]

    Weil, Sage; Brandt, Scott A; Miller, Ethan L; Long, Darrell D. E.; Maltzahn, Carlos

    2006-01-01

    recovery in large-scale storage systems. In Proceedings ofConference on Mass Storage Systems and Technologies, pageslarge, high performance storage systems. In Proceedings of

  19. USABC Development of Advanced High-Performance Batteries for...

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

    Batteries for EV Applications USABC Development of Advanced High-Performance Batteries for EV Applications 2012 DOE Hydrogen and Fuel Cells Program and Vehicle...

  20. High Performance Photovoltaic Project: Identifying Critical Paths; Preprint

    SciTech Connect (OSTI)

    Symko-Davies, M.; Zweibel, K.; Benner, J.; Sheldon, P.; Noufi, R.; Kurtz, S.; Coutts, T.; Hulstrom, R.

    2001-10-01

    Presented at the 2001 NCPV Program Review Meeting: Describes recent research accomplishments in in-house and subcontracted work in the High-Performance PV Project.

  1. High-Performance Thermoelectric Devices Based on Abundant Silicide...

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

    Development of high-performance thermoelectric devices for vehicle waste heat recovery will include fundamental research to use abundant promising low-cost thermoelectric...

  2. Performance Refactoring of Instrumentation, Measurement, and Analysis Technologies for Petascale Computing. The PRIMA Project

    SciTech Connect (OSTI)

    Malony, Allen D.; Wolf, Felix G.

    2014-01-31

    The growing number of cores provided by today’s high-­end computing systems present substantial challenges to application developers in their pursuit of parallel efficiency. To find the most effective optimization strategy, application developers need insight into the runtime behavior of their code. The University of Oregon (UO) and the Juelich Supercomputing Centre of Forschungszentrum Juelich (FZJ) develop the performance analysis tools TAU and Scalasca, respectively, which allow high-­performance computing (HPC) users to collect and analyze relevant performance data – even at very large scales. TAU and Scalasca are considered among the most advanced parallel performance systems available, and are used extensively across HPC centers in the U.S., Germany, and around the world. The TAU and Scalasca groups share a heritage of parallel performance tool research and partnership throughout the past fifteen years. Indeed, the close interactions of the two groups resulted in a cross-­fertilization of tool ideas and technologies that pushed TAU and Scalasca to what they are today. It also produced two performance systems with an increasing degree of functional overlap. While each tool has its specific analysis focus, the tools were implementing measurement infrastructures that were substantially similar. Because each tool provides complementary performance analysis, sharing of measurement results is valuable to provide the user with more facets to understand performance behavior. However, each measurement system was producing performance data in different formats, requiring data interoperability tools to be created. A common measurement and instrumentation system was needed to more closely integrate TAU and Scalasca and to avoid the duplication of development and maintenance effort. The PRIMA (Performance Refactoring of Instrumentation, Measurement, and Analysis) project was proposed over three years ago as a joint international effort between UO and FZJ to accomplish these objectives: (1) refactor TAU and Scalasca performance system components for core code sharing and (2) integrate TAU and Scalasca functionality through data interfaces, formats, and utilities. As presented in this report, the project has completed these goals. In addition to shared technical advances, the groups have worked to engage with users through application performance engineering and tools training. In this regard, the project benefits from the close interactions the teams have with national laboratories in the United States and Germany. We have also sought to enhance our interactions through joint tutorials and outreach. UO has become a member of the Virtual Institute of High-­Productivity Supercomputing (VI-­HPS) established by the Helmholtz Association of German Research Centres as a center of excellence, focusing on HPC tools for diagnosing programming errors and optimizing performance. UO and FZJ have conducted several VI-­HPS training activities together within the past three years.

  3. Performance Refactoring of Instrumentation, Measurement, and Analysis Technologies for Petascale Computing: the PRIMA Project

    SciTech Connect (OSTI)

    Malony, Allen D.; Wolf, Felix G.

    2014-01-31

    The growing number of cores provided by today’s high-end computing systems present substantial challenges to application developers in their pursuit of parallel efficiency. To find the most effective optimization strategy, application developers need insight into the runtime behavior of their code. The University of Oregon (UO) and the Juelich Supercomputing Centre of Forschungszentrum Juelich (FZJ) develop the performance analysis tools TAU and Scalasca, respectively, which allow high-performance computing (HPC) users to collect and analyze relevant performance data – even at very large scales. TAU and Scalasca are considered among the most advanced parallel performance systems available, and are used extensively across HPC centers in the U.S., Germany, and around the world. The TAU and Scalasca groups share a heritage of parallel performance tool research and partnership throughout the past fifteen years. Indeed, the close interactions of the two groups resulted in a cross-fertilization of tool ideas and technologies that pushed TAU and Scalasca to what they are today. It also produced two performance systems with an increasing degree of functional overlap. While each tool has its specific analysis focus, the tools were implementing measurement infrastructures that were substantially similar. Because each tool provides complementary performance analysis, sharing of measurement results is valuable to provide the user with more facets to understand performance behavior. However, each measurement system was producing performance data in different formats, requiring data interoperability tools to be created. A common measurement and instrumentation system was needed to more closely integrate TAU and Scalasca and to avoid the duplication of development and maintenance effort. The PRIMA (Performance Refactoring of Instrumentation, Measurement, and Analysis) project was proposed over three years ago as a joint international effort between UO and FZJ to accomplish these objectives: (1) refactor TAU and Scalasca performance system components for core code sharing and (2) integrate TAU and Scalasca functionality through data interfaces, formats, and utilities. As presented in this report, the project has completed these goals. In addition to shared technical advances, the groups have worked to engage with users through application performance engineering and tools training. In this regard, the project benefits from the close interactions the teams have with national laboratories in the United States and Germany. We have also sought to enhance our interactions through joint tutorials and outreach. UO has become a member of the Virtual Institute of High-Productivity Supercomputing (VI-HPS) established by the Helmholtz Association of German Research Centres as a center of excellence, focusing on HPC tools for diagnosing programming errors and optimizing performance. UO and FZJ have conducted several VI-HPS training activities together within the past three years.

  4. Using High Performance Libraries and Tools

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19PortalStatusUserUserHome AccountFuelUsingHigh

  5. High Performance Buildings Database | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energyarea, CaliforniaHess Retail NaturalAreasHighMesa

  6. High Performance Interconnect System Design for Future Chip Multiprocessors 

    E-Print Network [OSTI]

    Wang, Lei

    2013-05-02

    constraints of power and area, and provide ultra low latencies and high throughput. In this research, we explore different techniques to design high performance NOC. First, existing NOCs mostly use Dimension Order Routing (DOR) to determine the route taken...

  7. Liquid Argon Calorimeter performance at High Rates

    E-Print Network [OSTI]

    Seifert, F; The ATLAS collaboration

    2013-01-01

    The expected increase of luminosity at HL-LHC by a factor of ten with respect to LHC luminosities has serious consequences for the signal reconstruction, radiation hardness requirements and operations of the ATLAS liquid argon calorimeters in the endcap, respectively forward region. Small modules of each type of calorimeter have been built and exposed to a high intensity proton beam of 50 GeV at IHEP/Protvino. The beam is extracted via the bent crystal technique, offering the unique opportunity to cover intensities ranging from $10^6$ p/s up to $3\\cdot10^{11}$ p/s. This exceeds the deposited energy per time expected at HL-LHC by more than a factor of 100. The correlation between beam intensity and the read-out signal has been studied. The data show clear indications of pulse shape distortion due to the high ionization build-up, in agreement with MC expectations. This is also confirmed from the dependence of the HV currents on beam intensity.

  8. Liquid argon calorimeter performance at high rates

    E-Print Network [OSTI]

    Seifert, F; The ATLAS collaboration

    2012-01-01

    The expected increase of luminosity at HL-LHC by a factor of ten with respect to LHC luminosities has serious consequences for the signal reconstruction, radiation hardness requirements and operations of the ATLAS liquid argon calorimeters in the endcap, respectively forward region. Small modules of each type of calorimeter have been built and exposed to a high intensity proton beam of 50 GeV at IHEP/Protvino. The beam is extracted via the bent crystal technique, offering the unique opportunity to cover intensities ranging from $10^6$ p/s up to $10^{12}$ p/s. This exceeds the deposited energy per time expected at HL-LHC by more than a factor of 100. The correlation between beam intensity and the read-out signal has been studied. The data show clear indications of pulse shape distortion due to the high ionization build-up, in agreement with MC expectations. This is also confirmed from the dependence of the HV currents on beam intensity.

  9. A high performance field-reversed configuration

    SciTech Connect (OSTI)

    Binderbauer, M. W.; Tajima, T.; Steinhauer, L. C.; Garate, E.; Tuszewski, M.; Smirnov, A.; Gota, H.; Barnes, D.; Deng, B. H.; Thompson, M. C.; Trask, E.; Yang, X.; Putvinski, S.; Rostoker, N.; Andow, R.; Aefsky, S.; Bolte, N.; Bui, D. Q.; Ceccherini, F.; Clary, R.; and others

    2015-05-15

    Conventional field-reversed configurations (FRCs), high-beta, prolate compact toroids embedded in poloidal magnetic fields, face notable stability and confinement concerns. These can be ameliorated by various control techniques, such as introducing a significant fast ion population. Indeed, adding neutral beam injection into the FRC over the past half-decade has contributed to striking improvements in confinement and stability. Further, the addition of electrically biased plasma guns at the ends, magnetic end plugs, and advanced surface conditioning led to dramatic reductions in turbulence-driven losses and greatly improved stability. Together, these enabled the build-up of a well-confined and dominant fast-ion population. Under such conditions, highly reproducible, macroscopically stable hot FRCs (with total plasma temperature of ?1?keV) with record lifetimes were achieved. These accomplishments point to the prospect of advanced, beam-driven FRCs as an intriguing path toward fusion reactors. This paper reviews key results and presents context for further interpretation.

  10. Fingerprinting Communication and Computation on HPC Machines

    E-Print Network [OSTI]

    Peisert, Sean

    2010-01-01

    Journal of High Performance Computing Applications, 5(3):63,running on high-performance computing systems? Names ofjob runs on the high-performance computing (HPC) system, and

  11. Low latency, high bandwidth data communications between compute nodes in a parallel computer

    DOE Patents [OSTI]

    Archer, Charles J. (Rochester, MN); Blocksome, Michael A. (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian E. (Rochester, MN)

    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.

  12. High Performance Walls in Hot-Dry Climates

    SciTech Connect (OSTI)

    Hoeschele, M.; Springer, D.; Dakin, B.; German, A.

    2015-01-01

    High performance walls represent a high priority measure for moving the next generation of new homes to the Zero Net Energy performance level. The primary goal in improving wall thermal performance revolves around increasing the wall framing from 2x4 to 2x6, adding more cavity and exterior rigid insulation, achieving insulation installation criteria meeting ENERGY STAR's thermal bypass checklist, and reducing the amount of wood penetrating the wall cavity.

  13. CRITICAL ISSUES IN HIGH END COMPUTING - FINAL REPORT

    SciTech Connect (OSTI)

    Corones, James

    2013-09-23

    High-End computing (HEC) has been a driver for advances in science and engineering for the past four decades. Increasingly HEC has become a significant element in the national security, economic vitality, and competitiveness of the United States. Advances in HEC provide results that cut across traditional disciplinary and organizational boundaries. This program provides opportunities to share information about HEC systems and computational techniques across multiple disciplines and organizations through conferences and exhibitions of HEC advances held in Washington DC so that mission agency staff, scientists, and industry can come together with White House, Congressional and Legislative staff in an environment conducive to the sharing of technical information, accomplishments, goals, and plans. A common thread across this series of conferences is the understanding of computational science and applied mathematics techniques across a diverse set of application areas of interest to the Nation. The specific objectives of this program are: Program Objective 1. To provide opportunities to share information about advances in high-end computing systems and computational techniques between mission critical agencies, agency laboratories, academics, and industry. Program Objective 2. To gather pertinent data, address specific topics of wide interest to mission critical agencies. Program Objective 3. To promote a continuing discussion of critical issues in high-end computing. Program Objective 4.To provide a venue where a multidisciplinary scientific audience can discuss the difficulties applying computational science techniques to specific problems and can specify future research that, if successful, will eliminate these problems.

  14. Development of Large Scale High Performance Applications with a Parallelizing Compiler

    E-Print Network [OSTI]

    Vlad, Gregorio

    Development of Large Scale High Performance Applications with a Parallelizing Compiler B. DI parallel computations, and lack of robustness of parallelizing HPF compilers in handling large sized codes directives, into explicitly parallel code, by means of parallelizing compilers. This method is not only

  15. A Scheduling Algorithm for Consistent Monitoring Results with Solar Powered High-Performance Wireless Embedded Systems

    E-Print Network [OSTI]

    Simunic, Tajana

    but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy-Performance Wireless Embedded Systems Denis Dondi, Piero Zappi, Tajana Simuni Rosing Computer Science and Engineering]. For such systems, there are typically twofold objectives: (1) energy consumption must be reduced to extend

  16. Parallel Application Software on High Performance Survey of Parallel Software Packages of potential

    E-Print Network [OSTI]

    Ferreira-Resende, António

    i Parallel Application Software on High Performance Computers Survey of Parallel Software Packages.Lockey Edition 3: 24th June 1996 Abstract Parallel software packages which may be of use in scientific, software packages, scientific applications. This report is available from http://www.dl.ac.uk/TCSC/HPCI/ c

  17. 12003 Workshop on High Performance Switching and Routing M.Atiquzzaman, Univ. of Oklahoma, June 2003.

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    12003 Workshop on High Performance Switching and Routing M.Atiquzzaman, Univ. of Oklahoma, June Mohammed Atiquzzaman School of Computer Science, University of Oklahoma, Norman, OK 73019-6151. Email: atiq.Atiquzzaman, Univ. of Oklahoma, June 2003. Queue Management Passive No preventive packet drop until buffer reaches

  18. Design and Performance Tradeoffs of High-Gain Observers with Applications to the Control of Smart

    E-Print Network [OSTI]

    Tan, Xiaobo

    and Computer Engineering 2006 #12;ABSTRACT Design and Performance Tradeoffs of High-Gain Observers multirate output feedback scheme to a shape memory alloy actuated rotary joint by com- bining the observer with a hysteresis inversion controller. The rotary joint is modeled as a hysteresis operator of Preisach type

  19. MRGIS: A MapReduce-Enabled High Performance Workflow System for GIS Qichang Chen, Liqiang Wang

    E-Print Network [OSTI]

    Wang, Liqiang

    MRGIS: A MapReduce-Enabled High Performance Workflow System for GIS Qichang Chen, Liqiang Wang-intensive computations, e.g. Geographical Information Systems (GIS), has far out- paced the growth of the power platform based on MapReduce clusters, to execute GIS applications efficiently. MRGIS consists of a design

  20. Development of ultrafast computed tomography of highly transient fuel sprays

    E-Print Network [OSTI]

    Gruner, Sol M.

    Development of ultrafast computed tomography of highly transient fuel sprays Xin Liu, Jinyuan Liu University, Ithaca, NY, USA 14853 ABSTRACT The detailed analysis of the fuel sprays has been well recognized emissions. However, the structure and dynamics of highly transient fuel sprays have never been visualized