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
来源：
PARALLEL COMPUTING: SOFTWARE TECHNOLOGY, ALGORITHMS, ARCHITECTURES AND APPLICATIONS | 2004年 / 13卷
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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