S-Check: a tool for tuning parallel programs

R. Snelick
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引用次数: 12

Abstract

We present a novel tool, called S-Check, for identifying performance bottlenecks in parallel and networked programs. S-Check is a highly-automated sensitivity analysis tool for programs that extends benchmarking and conventional profiling. It predicts how refinements in parts of a program are going to affect performance by making focal changes in code efficiencies and correlating these against overall program performance. This analysis is a sophisticated comparison that catches interactions arising from shared resources or communication links. S-Check's performance assessment ranks code segments "bottleneck" according to their sensitivity to the code efficiency changes. This rank-ordered list serves as a guide for tuning applications. In practice, S-Check code analysis yields faster parallel programs. A case study compares and contrasts sensitivity analyses of the same program on different architectures and offers solutions for performance improvement. An initial implementation of S-Check runs on Silicon Graphics multiprocessors and IBM SP machines. Particulars of the underlying methodology are only sketched with main emphasis given to details of the tool S-Check and its use.
S-Check:用于调整并行程序的工具
我们提出了一种新的工具,称为S-Check,用于识别并行和网络程序中的性能瓶颈。S-Check是一种高度自动化的灵敏度分析工具,用于扩展基准测试和常规分析。它通过对代码效率进行重点更改,并将这些更改与整个程序性能相关联,预测程序部分的改进将如何影响性能。这种分析是一种复杂的比较,可以捕获来自共享资源或通信链接的交互。S-Check的性能评估根据代码段对代码效率变化的敏感性将其列为“瓶颈”。这个按顺序排列的列表可以作为调优应用程序的指南。在实践中,S-Check代码分析产生更快的并行程序。一个案例研究比较和对比了同一程序在不同体系结构上的敏感性分析,并提供了性能改进的解决方案。S-Check的初始实现运行在Silicon Graphics多处理器和IBM SP机器上。本文只概述了基本方法的细节,主要强调了S-Check工具及其使用的细节。
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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