文章基本信息

标题：COLUM BIA APPLICATION PERFORMANCE TUNING CASE STUDIES
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作者：J. Chang
期刊名称：Computational Methods in Science and Technology
印刷版ISSN：1505-0602
出版年度：2006
卷号：12
期号：Special issue
页码：13-21
出版社：Poznan Supercomputing and Networking Center
摘要：This paper describes four case studies of application performance enhancements on the Columbia supercomputer. The Columbia supercomputer is a cluster of twenty SGI Altix systems, each with 512 Itanium 2 processors and 1 terabyte of global shared-memory, and is located at the NASA Advanced Supercomputing (NAS) facility in Moffett Field. The code optimization techniques described in the case studies include both implicit and explicit process-placement to pin processes on CPUs closest to the processes' memory, removing memory contention in OpenMP applications, eliminating unaligned memory accesses, and system profiling. These techniques enabled approximately 2- to 20-fold improvements in application performance
关键词：Code tuning; process-placement; OpenMP scaling; memory contention; unaligned memory access