基于pmix的高性能计算软件栈性能分析与优化

A. Y. Polyakov, Boris I. Karasev, Joshua Hursey, Joshua Ladd, Mikhail Brinskii, E. Shipunova
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引用次数: 5

摘要

进程管理库和运行时环境在HPC应用程序生命周期中扮演着重要的角色。这项工作为实现基于高性能PMIx的软件堆栈提供了路线图,并针对四个性能关键领域提出了新颖的协同设计解决方案,这些解决方案在初始化和大规模连接期间显著提高了应用程序的性能。首先,设计了新的pmix_host上通信的锁定和线程安全方案,证明PMIx_Get延迟减少了66倍。其次,对连接过程中涉及的协议进行了优化。在UCX端点地址表示、PMIx元数据布局和使用Little-Endian Base 128编码方面的具体改进将节点间数据交换量减少了8.6倍。第三,提出了一种改进的Bruck连接算法,该算法比目前用于PMIx数据交换的资源管理器中基于环和树的实现具有更好的可伸缩性。最后,评估了利用高性能结构的带外信道,与现有实现相比,展示了数量级的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A performance analysis and optimization of PMIx-based HPC software stacks
Process management libraries and runtime environments serve an important role in the HPC application lifecycle. This work provides a roadmap for implementing a high-performance PMIx based software stacks and targets four performance-critical areas presenting novel codesigned solutions that significantly improve application performance during initialization and wire-up at scale. First, the new locking and thread-safety schemes of the PMIx on-host communication are designed demonstrating up to 66x reduction in PMIx_Get latency. Second, the optimizations of protocols involved in the wire-up procedure are proposed. Specific improvements in the UCX endpoint address representation, the layout of PMIx metadata, and the use of Little-Endian Base 128 encoding decreased the volume of inter-node data exchanged by up to 8.6x. Third, a modification of the Bruck concatenation algorithm is presented that scales better than ring- and tree-based implementations currently used in resource managers for PMIx data exchange. Lastly, an out-of-band channel leveraging the high-performance fabric is evaluated demonstrating orders of magnitude performance improvement compared to the existing implementation.
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