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Providing a Flexible and Comprehensive Software Stack Via Spack, E4S, and SDKs

Computing in Science & Engineering(2024)

Sandia National Laboratories | University of Oregon | Lawrence Livermore National Laboratory

Cited 0|Views14
Abstract
To manage the complex demands of modern high-performance computing (HPC), software applications increasingly depend on software developed by other teams, often at other institutions. An HPC software ecosystem approach is required to support dependencies on third-party scientific software. An ecosystem approach provides layers of activity above the individual software product level that promote interoperability, quality improvement, porting, testing and deployment. The U.S. Exascale Computing Project (ECP) developed its HPC software ecosystem using a three-pronged approach. First, ECP adopted and invested in Spack, a package manager designed to handle complex HPC package dependencies. Second, ECP created the Extreme Scale Scientific Software Stack (E4S), an effort that supports developing, deploying and running scientific applications on HPC platforms. Third, ECP supported software product communities, or Software Development Kits (SDKs) to develop and promote best practices, improve software interoperability, and other collaborative efforts. This paper describes ECP contributions to HPC software ecosystem challenges.
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要点】:本文介绍了美国exascale Computing Project(ECP)如何通过采用Spack包管理器、Extreme Scale Scientific Software Stack(E4S)以及软件开发工具包(SDKs)构建灵活且全面的HPC软件生态系统,以应对现代高性能计算中的复杂需求。

方法】:ECP采用三管齐下的方法构建软件生态系统,包括采用Spack管理复杂的HPC软件包依赖关系,创建E4S以支持科学应用在HPC平台上的开发、部署和运行,以及支持软件产品社区(SDKs)进行最佳实践开发、软件互操作性提升等合作努力。

实验】:本文详细描述了ECP在应对HPC软件生态系统挑战方面的贡献,但没有提及具体的实验过程或使用的数据集名称及结果。