QMPI: a next generation MPI profiling interface for modern HPC platforms

Bengisu Elis, Dai Yang, M. Schulz
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引用次数: 10

Abstract

As we approach exascale and start planning for beyond, the rising complexity of systems and applications demands new monitoring, analysis, and optimization approaches. This requires close coordination with the parallel programming system used, which for HPC in most cases includes MPI, the Message Passing Interface. While MPI provides comprehensive tool support in the form of the MPI Profiling interface, PMPI, which has inspired a generation of tools, it is not sufficient for the new arising challenges. In particular, it does not support modern software design principles nor the composition of multiple monitoring solutions from multiple agents or sources. We approach these gaps and present QMPI, as a possible successor to PMPI. In this paper, we present the use cases and requirements that drive its development, offer a prototype design and implementation, and demonstrate its effectiveness and low overhead.
QMPI:用于现代HPC平台的下一代MPI分析接口
当我们接近百亿亿级并开始计划超越百亿亿级时,系统和应用程序的复杂性不断上升,需要新的监控、分析和优化方法。这需要与所使用的并行编程系统密切协调,对于HPC,在大多数情况下包括MPI,即消息传递接口。虽然MPI以MPI Profiling接口的形式提供了全面的工具支持,但PMPI激发了一代工具的发展,它不足以应对新出现的挑战。特别是,它不支持现代软件设计原则,也不支持来自多个代理或来源的多个监视解决方案的组合。我们接近这些差距并提出QMPI,作为PMPI的可能继任者。在本文中,我们展示了驱动其开发的用例和需求,提供了一个原型设计和实现,并演示了它的有效性和低开销。
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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