ExaWorks: Workflows for Exascale

ExaWorks: Workflows for Exascale
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ExaWorks:Exascale 工作流程

DOI:
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发表时间:
2021
期刊:
Works
影响因子:
--
通讯作者:
J. Wozniak
J. Wozniak
中科院分区:
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文献类型:
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作者:
Aymen Al;D. Ahn;Y. Babuji;K. Chard;J. Corbett;M. Hategan;Stephen Herbein;S. Jha;D. Laney;André Merzky;T. Munson;Michael A. Salim;M. Titov;M. Turilli;J. Wozniak

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Exascale计算机将提供变革能力,将联合收割机数据驱动和基于学习的方法与传统的模拟应用相结合,以加速科学发现和洞察力。然而,这些软件的组合和集成,是难以实现的,由于协调和部署异构的软件组件在不同的和大规模的平台上的挑战。我们提出ExaWorks项目,它可以解决这些挑战中的许多:ExaWorks正在领导一个共同设计过程,以创建一个工作流软件开发工具包(SDK),该工具包由各种工作流管理工具组成,可以通过通用接口进行组合和互操作。我们描述了SDK支持的初始工具和接口集,使它们更容易应用于复杂的科学挑战的努力,以及它们应用于典型案例的例子。此外,我们还将讨论我们的项目如何与工作流社区、大型计算设施以及HPC平台供应商合作,以可持续地满足亿级工作流的要求。
Exascale computers will offer transformative capabilities to combine data-driven and learning-based approaches with traditional simulation applications to accelerate scientific discovery and insight. These software combinations and integrations, however, are difficult to achieve due to challenges of coordination and deployment of heterogeneous software components on diverse and massive platforms. We present the ExaWorks project, which can address many of these challenges: ExaWorks is leading a co-design process to create a workflow Software Development Toolkit (SDK) consisting of a wide range of workflow management tools that can be composed and interoperate through common interfaces. We describe the initial set of tools and interfaces supported by the SDK, efforts to make them easier to apply to complex science challenges, and examples of their application to exemplar cases. Furthermore, we discuss how our project is working with the workflows community, large computing facilities as well as HPC platform vendors to sustainably address the requirements of workflows at the exascale.
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
DOI: 10.1109/tpds.2021.3105994
发表时间: 2022
影响因子: 5.3
作者:
Merzky, Andre;Turilli, Matteo;Titov, Mikhail;Al-Saadi, Aymen;Jha, Shantenu
通讯作者: Jha, Shantenu