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CORR
2010
Springer

Automatic Performance Debugging of SPMD Parallel Programs

9 years 2 months ago
Automatic Performance Debugging of SPMD Parallel Programs
Different from sequential programs, parallel programs possess their own characteristics which are difficult to analyze in the multi-process or multi-thread environment. This paper presents an innovative method to automatically analyze the SPMD programs. Firstly, with the help of clustering method focusing on similarity analysis, an algorithm is designed to locate performance problems in parallel programs automatically. Secondly a Rough Set method is used to uncover the performance problem and provide the insight into the micro-level causes. Lastly, we have analyzed a production parallel application to verify the effectiveness of our method and system.
Xu Liu, Lin Yuan, Jianfeng Zhan, Bibo Tu, Dan Meng
Added 24 Jan 2011
Updated 24 Jan 2011
Type Journal
Year 2010
Where CORR
Authors Xu Liu, Lin Yuan, Jianfeng Zhan, Bibo Tu, Dan Meng
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