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  • 标题:COLUM BIA APPLICATION PERFORMANCE TUNING CASE STUDIES
  • 本地全文:下载
  • 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
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