Performance instrumentation and compiler optimizations for MPI/OpenMP applications

被引：0

作者：

Hernandez, Oscar ^{[1
]}

Song, Fengguang ^{[2
]}

Chapman, Barbara ^{[1
]}

Dongarra, Jack ^{[2
]}

Mohr, Bernd ^{[3
]}

Moore, Shirley ^{[2
]}

Wolf, Felix ^{[3
]}

机构：

[1] Univ Houston, Dept Comp Sci, Houston, TX 77204 USA

[2] Univ Tennessee, Dept Comp Sci, Knoxville, TN 37996 USA

[3] Forschungszentrum Julich, ZAM, D-52425 Julich, Germany

来源：

OPENMP SHARED MEMORY PARALLEL PROGRAMMING, PROCEEDINGS | 2008年 / 4315卷

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article describes how the integration of the OpenUH OpenMP compiler with the KOJAK performance analysis tool can assist developers of OpenMP and hybrid codes in optimizing their applications with as little user intervention as possible. In particular, we (i) describe how the compiler's ability to automatically instrument user code down to the flow-graph level can improve the location of performance problems and (ii) outline how the performance feedback provided by KOJAK will direct the compiler's optimization decisions in the future. To demonstrate our methodology, we present experimental results showing how reasons for the performance slow down of the ASPCG benchmark could be identified.

引用

页码：267 / +

页数：3

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