Scalable performance analysis of large-scale parallel applications on Cray XT systems with Scalasca
Scalable performance analysis of large-scale parallel applications on Cray XT systems with Scalasca
复制标题
使用 Scalasca 对 Cray XT 系统上的大规模并行应用程序进行可扩展性能分析
DOI：
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发表时间：
2010
期刊：
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通讯作者：
F. Wolf
中科院分区：
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作者：
B. Wylie;David Böhme;W. Frings;M. Geimer;B. Mohr;Z. Szebenyi;Daniel Becker;Marc;F. Wolf
开源的Scalasca工具集[www.scalasca.org]支持在各种HPC计算机系统上集成运行时摘要和自动跟踪分析。2009年，HPC-Europa2访问了EPCC，结果显著增强了对Cray XT系统的支持，特别是辅助编程环境和混合OpenMP/MPI。结合其先前展示的极端可扩展性和便携式性能分析比较能力，Scalasca已用于在Cray XT和其他PRACE原型系统上分析和调整许多关键应用程序（和基准测试），并从具有代表性的选择中进行了回顾。
The open-source Scalasca toolset [www.scalasca.org] supports integrated runtime summarization and automated trace analysis on a diverse range of HPC computer systems. An HPC-Europa2 visit to EPCC in 2009 resulted in significantly enhanced support for Cray XT systems, particularly the auxilliary programming environments and hybrid OpenMP/MPI. Combined with its previously demonstrated extreme scalability and portable performance analyses comparison capabilities, Scalasca has been used to analyse and tune numerous key applications (and benchmarks) on Cray XT and other PRACE prototype systems, from which experience with a representative selection is reviewed.