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Elements: RHAPSODY: Runtime for Heterogeneous Applications, Service Orchestration and DYnamism

Elements: RHAPSODY: Runtime for Heterogeneous Applications, Service Orchestration and DYnamism
元素:RHAPSODY:异构应用程序运行时、服务编排和动态
批准号:
2103986
负责人:
Matteo Turilli
金额:
$59.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31

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中文摘要
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英文摘要
The end of traditional scaling paradigms coupled with innovations in machine learning are driving unprecedented changes in the formulation of scientific applications as well as the nature of high-performance computing (HPC) software and application ecosystems. As a consequence, scientific applications increasingly depend on heterogeneous components with diverse computational characteristics and performance challenges, coordinated in agile and innovative ways. The Runtime for Heterogeneous APplications, Service Orchestration and DYnamism (RHAPSODY) addresses challenges arising from heterogeneity and need for performance. It will enable the effective and efficient execution of scientific applications at unprecedented scale and on a variety of current and upcoming HPC platforms.RHAPSODY is a scalable, fault-tolerant and portable runtime system to enable scientific communities to innovate by effectively executing applications composed of heterogeneous components on current and upcoming computing platforms. RHAPSODY provides missing runtime capabilities to application and middleware developers, fostering the integration of existing software systems and, ultimately, a more efficient use of existing resources. Together, these contributions make RHAPSODY a tool to advance scientific discovery in multiple domains.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(1)
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会议论文
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms
RADICAL-Pilot 和 Parsl:在 HPC 平台上执行异构工作流程
DOI: 10.1109/works56498.2022.00009
发表时间: 2022
期刊: 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS
影响因子: --
作者: [Alsaadi, Aymen, Ward, Logan, Merzky, Andre, Chard, Kyle, Foster, Ian, Jha, Shantenu, Turilli, Matteo]
通讯作者: Turilli, Matteo
Collaborative Research: NSCI Framework: Software: SCALE-MS - Scalable Adaptive Large Ensembles of Molecular Simulations
  • 批准号:
    1835449
  • 项目类别:
    Standard Grant
  • 资助金额:
    $61.2万
  • 财政年份:
    2019
  • 负责人:
    Matteo Turilli
  • 依托单位:
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