Performance analysis of Sweep3D on Blue Gene/P with the Scalasca toolset
Performance analysis of Sweep3D on Blue Gene/P with the Scalasca toolset
复制标题
使用 Scalasca 工具集对 Blue Gene/P 上的 Sweep3D 进行性能分析
DOI：
10.1109/ipdpsw.2010.5470816
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
F. Wolf
中科院分区：
文献类型：
--
作者：
B. Wylie;David Böhme;B. Mohr;Z. Szebenyi;F. Wolf
在IBM Blue Gene/P上研究Scalasca性能分析工具集对数十万MPI进程的可扩展性时，我们研究了著名的ASCI Sweep 3D紧凑型应用程序的渐进执行性能恶化。Scalasca运行时摘要分析量化了与计算不平衡相关的MPI通信时间，自动跟踪分析证实了MPI等待时间的增长。进一步的仪器，测量和分析精确地定位了一个高度不平衡的计算的条件部分，其放大了相关波前通信中固有的等待时间，严重降低了非常大规模的整体执行效率。通过采用有效的数据整理、管理和图形表示，Scalasca首次能够对294，912个流程进行性能测量和分析。
In studying the scalability of the Scalasca performance analysis toolset to several hundred thousand MPI processes on IBM Blue Gene/P, we investigated a progressive execution performance deterioration of the well-known ASCI Sweep3D compact application. Scalasca runtime summarization analysis quantified MPI communication time that correlated wth computational imbalance, and automated trace analysis confirmed growing amounts of MPI waiting times. Further instrumentation, measurement and analyses pinpointed a conditional section of highly imbalanced computation which amplified waiting times inherent in the associated wavefront communication that seriously degraded overall execution efficiency at very large scales. By employing effective data collation, management and graphical presentation, Scalasca was thereby able to demonstrate performance measurements and analyses with 294,912 processes for the first time.