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Collaborative Research: Frameworks: Production quality Ecosystem for Programming and Executing eXtreme-scale Applications (EPEXA)

Collaborative Research: Frameworks: Production quality Ecosystem for Programming and Executing eXtreme-scale Applications (EPEXA)
合作研究:框架:用于编程和执行超大规模应用程序的生产质量生态系统 (EPEXA)
批准号:
1931384
负责人:
George Bosilca
金额:
$199.57万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-11-01 至 2024-10-31

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中文摘要
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英文摘要
A team of researchers from three institutions will work collaboratively to design and develop a software framework that implements high-performance methods for irregular and dynamic computations that are poorly supported by current programming paradigms. The framework, titled EPEXA (Ecosystem for Programming and Executing eXtreme Applications), will create a production-quality, general-purpose, community-supported, open-source software ecosystem that attacks the twin challenges of programmer productivity and portable performance for advanced scientific applications on modern high-performance computers. Employing science-driven co-design, the team will transition into production a successful research prototype of a new programming model and accelerate the growth of the community of computer scientists and domain scientists employing these tools for their research. The project bridges the so-called "valley of death" between successful proofs of principle to an implementation with enough quality, performance, and community support to motivate application scientists and other researchers to adopt the tools and invest their own effort into the community. In addition to work on the framework development, the project includes training of postdoctoral scholars, graduate and undergraduate students as well as education, outreach and scientific community engagement activities.Specifically, the new powerful data-flow programming model and associated parallel runtime directly address multiple challenges faced by scientists as they attempt to employ rapidly changing computer technologies including current massively-parallel, hybrid, and many-core systems. Both data-intensive and compute-intensive applications are enabled in part by the general programming model and through the ability to target multiple backends or runtime systems. Also enabled is the creation by domain scientists of new domain-specific languages (DSLs) for both shared and distributed-memory computers. EPEXA contributes to the design and development of state-of-the-art software environments that leverage the National Science Foundation's investments in cyberinfrastructure to enable scientific discovery across all disciplines.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(8)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/ipdps49936.2021.00062
发表时间: 2020-06
期刊: 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
影响因子: --
作者: [T. Hérault;Y. Robert;G. Bosilca;R. Harrison;C. Lewis;Edward F. Valeev;J. Dongarra]
通讯作者: T. Hérault;Y. Robert;G. Bosilca;R. Harrison;C. Lewis;Edward F. Valeev;J. Dongarra
Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG
突破小任务的界限:TTG 中的可扩展低开销数据流编程
DOI: 10.1109/cluster51413.2022.00026
发表时间: 2022
期刊: 2022 IEEE International Conference on Cluster Computing (CLUSTER
影响因子: --
作者: [Schuchart, Joseph, Nookala, Poornima, Herault, Thomas, Valeev, Edward F., Bosilca, George]
通讯作者: Bosilca, George
Understanding Recursive Divide-and-Conquer Dynamic Programs in Fork-Join and Data-Flow Execution Models
了解 Fork-Join 和数据流执行模型中的递归分治动态程序
DOI: 10.1109/ipdpsw52791.2021.00069
发表时间: 2021
期刊: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW
影响因子: --
作者: [Nookala, Poornima, Ahmad, Zafar, Javanmard, Mohammad Mahdi, Kong, Martin, Chowdhury, Rezaul, Harrison, Robert]
通讯作者: Harrison, Robert
Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms
比较现代 HPC 平台的分布式终止检测算法
DOI: 10.15803/ijnc.12.1_26
发表时间: 2022
期刊: International Journal of Networking and Computing
影响因子: --
作者: [Bosilca, George, Bouteiller, Aurélien, Herault, Thomas, Fèvre, Valentin Le, Robert, Yves, Dongarra, Jack]
通讯作者: Dongarra, Jack
8
    OAC Core: Small: Collaborative Research: Scalable Run-Time for Highly Parallel, Heterogeneous Systems
    • 批准号:
      1909015
    • 项目类别:
      Standard Grant
    • 资助金额:
      $25.0万
    • 财政年份:
      2019
    • 负责人:
      George Bosilca
    • 依托单位:
    SPX: Collaborative Research: Cross-layer Application-Aware Resilience at Extreme Scale (CAARES)
    • 批准号:
      1725692
    • 项目类别:
      Standard Grant
    • 资助金额:
      $26.61万
    • 财政年份:
      2017
    • 负责人:
      George Bosilca
    • 依托单位:
    Collaborative Research: SI2-SSI: EVOLVE: Enhancing the Open MPI Software for Next Generation Architectures and Applications
    • 批准号:
      1664142
    • 项目类别:
      Standard Grant
    • 资助金额:
      $156.62万
    • 财政年份:
      2017
    • 负责人:
      George Bosilca
    • 依托单位:
    Collaborative Research: SI2-SSI:Task-Based Environment for Scientific Simulation at Extreme Scale (TESSE)
    • 批准号:
      1450300
    • 项目类别:
      Standard Grant
    • 资助金额:
      $117.81万
    • 财政年份:
      2015
    • 负责人:
      George Bosilca
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)