Bringing HPE Slingshot 11 support to Open MPI

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Concurrency and Computation-Practice & Experience Pub Date : 2024-07-18 DOI:10.1002/cpe.8203

Amir Shehata, Thomas Naughton, David E. Bernholdt, Howard Pritchard

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Abstract

The Cray HPE Slingshot 11 network is used on the new exascale systems arriving at the U.S. Department of Energy (DoE) laboratories (e.g., Frontier, Aurora, Perlmutter). As such, the support of this network is an important capability to meet the needs of exascale applications. This article highlights recent work to develop supporting infrastructure to enable Open MPI to efficiently support these new platforms. A key component of this effort involves development of a new Open Fabrics Interface (OFI) provider, LinkX. We discuss the design and development of enhancements that take advantage of the new Slingshot 11 network and AMD GPUs. We include performance data from tests on the Frontier supercomputer using synthetic communication benchmarks, and the vendor provided MPI as a baseline for comparison. The tests demonstrate full functionality of Open MPI on the system and initial results show favorable performance when compared to the highly tuned vendor implementation.

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将 HPE Slingshot 11 支持引入 Open MPI

摘要 Cray HPE Slingshot 11 网络用于美国能源部 (DoE) 实验室的新型超大规模系统（如 Frontier、Aurora 和 Perlmutter）。因此，对该网络的支持是满足超大规模应用需求的一项重要能力。本文重点介绍了为使 Open MPI 能够有效支持这些新平台而开发支持性基础设施的最新工作。这项工作的一个关键组成部分是开发新的开放 Fabrics 接口 (OFI) 提供商 LinkX。我们将讨论利用新的 Slingshot 11 网络和 AMD GPU 的增强功能的设计和开发。其中包括在 Frontier 超级计算机上使用合成通信基准测试的性能数据，以及供应商提供的 MPI 作为比较基准。测试证明了 Open MPI 在该系统上的全部功能，与经过高度调整的供应商实现相比，初步结果显示了良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Concurrency and Computation-Practice & Experience 工程技术-计算机：理论方法

CiteScore

5.00

自引率

10.00%

发文量

664

审稿时长

9.6 months

期刊介绍： Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.