Automated performance analysis using ASL performance properties

被引：0
|
作者：
Fuerlinger, Karl [1 ]
Gerndt, Michael [1 ]
机构：
[1] Tech Univ Munich, Lehrstuhl Rechnertech & Rechnerorg, Inst Informat, Boltzmannstr 3, DE-85748 Garching, Germany
来源：
APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING | 2007年 / 4699卷
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：
We present our approach for automating the performance analysis of parallel applications based on the idea of ASL performance properties. Our tool Periscope automatically searches for inefficiencies specified as ASL properties, leveraging a set of agents distributed over the target machine and arranged in a tree-like hierarchy. Decomposing the analysis using a set of agents allows the analysis process to be performed in a scalable way. If the machine or target application scales in number of nodes or processors used, Periscope similarly scales in number of agents employed.
引用
收藏
页码：390 / +
页数：2
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