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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
翻译
传统伸缩模式的终结,加上机器学习的创新,正在推动科学应用的形成以及高性能计算(HPC)软件和应用生态系统的性质发生前所未有的变化。因此,科学应用程序越来越依赖于具有不同计算特征和性能挑战的不同组件,并以灵活和创新的方式进行协调。异类应用程序运行时、服务编排和动态(Rhapsody)解决了异构性和性能需求带来的挑战。RHAPSODY是一个可扩展、可容错和可移植的运行时系统,通过在当前和即将到来的计算平台上有效地执行由不同组件组成的应用程序,使科学社区能够进行创新。Rhapsody为应用程序和中间件开发人员提供了缺少的运行时功能,促进了现有软件系统的集成,并最终更有效地利用了现有资源。总而言之,这些贡献使Rhapsody成为在多个领域推进科学发现的工具。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
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)
专著(0)
科研奖励(0)
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:
海外基金