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Category II : Ookami: A high-productivity path to frontiers of scientific discovery enabled by exascale system technologies

Category II : Ookami: A high-productivity path to frontiers of scientific discovery enabled by exascale system technologies
第二类:Ookami:通过百亿亿次系统技术实现科学发现前沿的高生产力之路
批准号:
1927880
负责人:
Robert Harrison
金额:
$278.04万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-10-01 至 2025-09-30

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中文摘要
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英文摘要
The State University of New York proposes to procure and operate for at least four years the first computer outside of Japan with the A64fx processor developed by Fujitsu for the Japanese path to exascale computing (i.e., computers capable of 10^18 operations per second). The ARM-based, multi-core, 512-bit SIMD-vector processor with ultrahigh-bandwidth memory promises to retain familiar and successful programming models while achieving very high performance for a wide range of applications including simulation and big data. The testbed significantly extends current NSF-sponsored HPC technologies and will enable the community to evaluate and demonstrate the potential of this technology for deployment in multiple settings. Through integration with NSF's Extreme Science and Engineering Discovery Environment (XSEDE), the system will be widely accessible and fully leverages existing cyber infrastructure including the XDMoD monitoring system.What does this mean for science? Compared with the best CPUs anticipated during the deployment period, A64fx offers 2-4x better performance on memory-intensive applications such as sparse-matrix solvers found in many engineering and physics codes. For nearly all other applications, performance is also better or competitive. This transformational performance should be available nearly out of the box, with additional performance possible from tuning. To the scientist or engineer this means faster time to solution with significantly less programmer effort. The target class of applications to be enabled are memory-bandwidth intensive with 32GB/node memory, with significant gains anticipated for many other applications. Analysis of XSEDE workload shows 86% of all jobs (85% cycles) will fit within the available memory per node and that the majority of jobs are memory-bandwidth intensive. Finally, we have concrete plans to substantially broaden participation in science and engineering research by partnering with external organizations at the institutional, regional, and national levels.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(11)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3503470.3503478
发表时间: 2022-01
期刊: International Conference on High Performance Computing in Asia-Pacific Region Workshops
影响因子: --
作者: [Catherine Feldman;Benjamin Michalowicz;E. Siegmann;Tony Curtis;A. Calder;R. J. Harrison]
通讯作者: Catherine Feldman;Benjamin Michalowicz;E. Siegmann;Tony Curtis;A. Calder;R. J. Harrison
OpenSHMEM Active Message Extension for Task-Based Programming
用于基于任务的编程的 OpenSHMEM 主动消息扩展
DOI: 10.1007/978-3-031-04888-3_8
发表时间: 2022
期刊: OpenSHMEM 2021: OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Exascale and Smart Networks
影响因子: --
作者: [Lu, Curtis]
通讯作者: Lu, Curtis
Comparing OpenMP Implementations with Applications Across A64FX Platforms
比较 OpenMP 实现与跨 A64FX 平台的应用程序
DOI: 10.1007/978-3-030-85262-7_9
发表时间: 2021
期刊: IWOMP 2021: OpenMP: Enabling Massive Node-Level Parallelism
影响因子: --
作者: [Michalowicz, Raut]
通讯作者: Michalowicz, Raut
From Molecular Dynamics to Oceanography - Ookami Graduate Students Porting and Tuning Science Codes for A64FX
从分子动力学到海洋学 - Ookami 研究生为 A64FX 移植和调整科学代码
DOI: 10.1145/3569951.3593608
发表时间: 2023
期刊: PEARC '23: Practice and Experience in Advanced Research Computing
影响因子: --
作者: [Kaushik, Kedarsh, Wang, Yuzhang, Ma, Youwei, Carlson, David, Curtis, Tony, Harrison, Robert, Siegmann, Eva]
通讯作者: Siegmann, Eva
11
    MRI: Acquisition of a computer system for Research and Education – Seawulf
    • 批准号:
      2215987
    • 项目类别:
      Standard Grant
    • 资助金额:
      $48.5万
    • 财政年份:
      2022
    • 负责人:
      Robert Harrison
    • 依托单位:
    Collaborative Research: Frameworks: Production quality Ecosystem for Programming and Executing eXtreme-scale Applications (EPEXA)
    • 批准号:
      1931387
    • 项目类别:
      Standard Grant
    • 资助金额:
      $109.93万
    • 财政年份:
      2019
    • 负责人:
      Robert Harrison
    • 依托单位:
    SPX: Collaborative Research: Dependence Programming and Optimization of Scalable Irregular Numerical Applications
    • 批准号:
      1725428
    • 项目类别:
      Standard Grant
    • 资助金额:
      $20.0万
    • 财政年份:
      2017
    • 负责人:
      Robert Harrison
    • 依托单位:
    NRT-DESE: Interdisciplinary Graduate Training to Understand and Inform Decision Processes Using Advanced Spatial Data Analysis and Visualization
    • 批准号:
      1633299
    • 项目类别:
      Standard Grant
    • 资助金额:
      $299.39万
    • 财政年份:
      2016
    • 负责人:
      Robert Harrison
    • 依托单位:
    国内基金
    海外基金
    基于生境成像与深度学习联合临床特征构建II型卵巢癌术前淋巴结转移预测模型的研究
    鸡软骨非变性II型胶原高效制备和靶向递送的关键技术开发与应用示范
    青蒿琥酯协同TROP2/线粒体级联靶向的NIR-II多模态诊疗用于晚期TNBC精准诊断与治疗的机制研究
    • 批准号:
      2026JJ30126
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2026
    • 负责人:
      杨沙
    • 依托单位:
    苏合颗粒治疗慢性萎缩性胃炎的临床(II期)评价关键技术研究