使用硬件计数器的并行程序缩放分析

Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing Pub Date : 2020-06-21 DOI:10.1145/3431379.3464453

Shobhit Jagga, Preeti Malakar

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引用次数: 1

摘要

我们提供了一个轻量级库，可以自动收集MPI应用程序的几个硬件计数器。分析了强弱标度对计数器的影响。我们首先关联从每个进程计数中获得的计数器值，然后对计数器进行聚类，以识别由于缩放而受到类似影响的计数器。我们注意到，对于miniFE等应用程序，最后一级缓存丢失的影响更为明显。

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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Parallel Program Scaling Analysis using Hardware Counters

We present a lightweight library that automatically collects several hardware counters for MPI applications. We analyze the effect of strong and weak scaling on the counters. We first correlate the counter values obtained from each process count, and then cluster the counters to identify counters that are affected similarly due to scaling. We noted that the effect of last-level cache misses is more pronounced for some applications such as miniFE.

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Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing

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