Scalable performance analysis of parallel systems: Concepts and experiences

被引:0
|
作者
Brunsta, H [1 ]
Nagel, WE [1 ]
机构
[1] Tech Univ Dresden, Ctr High Performance Comp, D-01062 Dresden, Germany
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We have developed a distributed service architecture and an integrated parallel analysis engine for scalable trace based performance analysis. Our combined approach permits to handle very large performance data volumes in real-time. Unlike traditional analysis tools that do their job sequentially on an external desktop platform, our approach leaves the data at its origin and seamlessly integrates the time consuming analysis as a parallel job into the high performance production environment.
引用
收藏
页码:737 / 744
页数:8
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