Programming Models and Application Requirements for an Exascale Computing Point Design Study

百亿亿次计算点设计研究的编程模型和应用要求

基本信息

  • 批准号:
    0837719
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-09-01 至 2011-08-31
  • 项目状态:
    已结题

项目摘要

NSF and other Federal agencies will require further understanding of concepts, methods, and means for Exascale computing systems before formulation of future programs in enabling technologies, architectures, and methodologies. Such understanding will drive the unknowns to be determined, the challenges to be addressed, strategies to guide, and tasks to be performed on the way to Exascale system realization. The objective of realizing systems capable of sustained Exaflops computing by 2018 suggests that sponsored R&D programs dedicated to this goal be started no later than 2011 to provide sufficient time to complete the ensemble of necessary research, design, and implementation tasks. The NSF Point Design Study for Exascale Computing is a collection of three tasks that will look at three different regimes of computing by experts in those areas. While each is stand alone, they will benefit strongly through cooperation and sharing of results, each being guided by the insights derived from the others. These are 1) applications and programming models, 2) system architecture and operating systems, and 3) hardware technology and component design. This SGER will study applications and programming models aspect of the Point Design Study for Exascale Computing.
NSF和其他联邦机构将需要在制定未来的使能技术、体系结构和方法学计划之前,进一步了解Exascale计算系统的概念、方法和手段。这样的理解将驱动未知被确定,挑战被处理,策略被引导,任务被执行,在通往Exascale系统实现的道路上。到2018年实现能够持续进行Exaflops计算的系统的目标表明,赞助的研发计划致力于这一目标,不迟于2011年启动,以提供足够的时间来完成必要的研究、设计和实施任务。NSF百亿亿次计算的点设计研究是三个任务的集合,将由这些领域的专家研究三种不同的计算制度。虽然每一方都是独立的,但他们将通过合作和分享成果而受益匪浅,每一方都以来自其他各方的见解为指导。它们是1)应用程序和编程模型,2)系统架构和操作系统,以及3)硬件技术和组件设计。该SGER将研究百亿亿次计算点设计研究的应用程序和编程模型方面。

项目成果

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William Gropp其他文献

CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes
CommBench:使用多 GPU、多 NIC 节点对分层网络进行微基准测试
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mert Hidayetoğlu;Simon Garcia De Gonzalo;Elliott Slaughter;Yu Li;Christopher Zimmer;Tekin Bicer;Bin Ren;William Gropp;Wen;Alexander Aiken
  • 通讯作者:
    Alexander Aiken
Multiprocessors
多处理器
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    David A. Padua;Amol Ghoting;J. Gunnels;M. Squillante;J. Meseguer;James H. Cownie;Duncan Roweth;Sarita V. Adve;Hans J. Boehm;Sally A. McKee;Robert W. Wisniewski;G. Karypis;Allen D. Malony;Steven Gottlieb;R. Riesen;Arthur B. Maccabe;G. Bilardi;A. Pietracaprina;A. Kejariwal;Alexandru Nicolau;Christian Lengauer;John L. Gustafson;William Gropp;J. Prost;Geoff Lowney;P. Amestoy;A. Buttari;I. Duff;A. Guermouche;J. L’Excellent;B. Uçar;Robert H. Halstead;M. Nemirovsky;S. Pakin
  • 通讯作者:
    S. Pakin
Thread-safety in an MPI implementation: Requirements and analysis
  • DOI:
    10.1016/j.parco.2007.07.002
  • 发表时间:
    2007-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    William Gropp;Rajeev Thakur
  • 通讯作者:
    Rajeev Thakur
Enabling real-time multi-messenger astrophysics discoveries with deep learning
利用深度学习实现实时多信使天体物理学发现
  • DOI:
    10.1038/s42254-019-0097-4
  • 发表时间:
    2019-10-03
  • 期刊:
  • 影响因子:
    39.500
  • 作者:
    E. A. Huerta;Gabrielle Allen;Igor Andreoni;Javier M. Antelis;Etienne Bachelet;G. Bruce Berriman;Federica B. Bianco;Rahul Biswas;Matias Carrasco Kind;Kyle Chard;Minsik Cho;Philip S. Cowperthwaite;Zachariah B. Etienne;Maya Fishbach;Francisco Forster;Daniel George;Tom Gibbs;Matthew Graham;William Gropp;Robert Gruendl;Anushri Gupta;Roland Haas;Sarah Habib;Elise Jennings;Margaret W. G. Johnson;Erik Katsavounidis;Daniel S. Katz;Asad Khan;Volodymyr Kindratenko;William T. C. Kramer;Xin Liu;Ashish Mahabal;Zsuzsa Marka;Kenton McHenry;J. M. Miller;Claudia Moreno;M. S. Neubauer;Steve Oberlin;Alexander R. Olivas;Donald Petravick;Adam Rebei;Shawn Rosofsky;Milton Ruiz;Aaron Saxton;Bernard F. Schutz;Alex Schwing;Ed Seidel;Stuart L. Shapiro;Hongyu Shen;Yue Shen;Leo P. Singer;Brigitta M. Sipocz;Lunan Sun;John Towns;Antonios Tsokaros;Wei Wei;Jack Wells;Timothy J. Williams;Jinjun Xiong;Zhizhen Zhao
  • 通讯作者:
    Zhizhen Zhao

William Gropp的其他文献

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{{ truncateString('William Gropp', 18)}}的其他基金

Category I: Bridging the Gap Between AI/ML Computing Demands and Today's Capabilities
第一类:缩小 AI/ML 计算需求与当今能力之间的差距
  • 批准号:
    2320345
  • 财政年份:
    2023
  • 资助金额:
    $ 20万
  • 项目类别:
    Cooperative Agreement
Category I: Crossing the Divide Between Today's Practice and Tomorrow's Science
第一类:跨越今天的实践和明天的科学之间的鸿沟
  • 批准号:
    2005572
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Cooperative Agreement
MRI: Development of an Instrument for Deep Learning Research
MRI:深度学习研究仪器的开发
  • 批准号:
    1725729
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
BD Hubs: MIDWEST: SEEDCorn: Sustainable Enabling Environment for Data Collaboration
BD 中心:中西部:SEEDCorn:数据协作的可持续支持环境
  • 批准号:
    1550320
  • 财政年份:
    2015
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CSR: Medium: Collaborative Research: Decoupled Execution Paradigm for Data-Intensive High-End Computing
CSR:中:协作研究:数据密集型高端计算的解耦执行范式
  • 批准号:
    1161507
  • 财政年份:
    2012
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
Collaborative Research: System Software for Scalable Applications
合作研究:可扩展应用的系统软件
  • 批准号:
    1036137
  • 财政年份:
    2011
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NSF Workshop on Software Development Environment for Science & Engineering Applications
NSF 科学软件开发环境研讨会
  • 批准号:
    1048964
  • 财政年份:
    2010
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
ITR: Collaborative Research - ASE - (sim+dmc): Image-based Biophysical Modeling: Scalable Registration and Inversion Algorithms and Distributed Computing
ITR:协作研究 - ASE - (sim dmc):基于图像的生物物理建模:可扩展配准和反演算法以及分布式计算
  • 批准号:
    0849301
  • 财政年份:
    2007
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
ITR: Collaborative Research - ASE - (sim+dmc): Image-based Biophysical Modeling: Scalable Registration and Inversion Algorithms and Distributed Computing
ITR:协作研究 - ASE - (sim dmc):基于图像的生物物理建模:可扩展配准和反演算法以及分布式计算
  • 批准号:
    0427912
  • 财政年份:
    2004
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant

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