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

页码：737 / 744

页数：8

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