The HPC Challenge (HPCC) benchmark suite

P. Luszczek, D. Bailey, J. Dongarra, J. Kepner, R. Lucas, R. Rabenseifner, D. Takahashi
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引用次数: 330

Abstract

In 2003, the DARPA's High Productivity Computing Systems released the HPCC suite. It examines the performance of HPC architectures using kernels with various memory access patterns of well known computational kernels. Consequently, HPCC results bound the performance of real applications as a function of memory access characteristics and define performance boundaries of HPC architectures. The suite was intended to augment the TOP500 list and by now the results are publicly available for 6 out of 10 of the world's fastest computers. Implementations exist in most of the major high-end programming languages and environments, accompanied by countless optimization efforts. The increased publicity enjoyed by HPCC doesn't necessarily translate into deeper understanding of the performance issues that HPCC benchmarks. And so this tutorial will introduce attendees to HPCC, provide tools to examine differences in HPC architectures, and give hands-on training that will hopefully lead to better understanding of parallel environments.
HPC Challenge (HPCC)基准测试套件
2003年,DARPA的高生产力计算系统发布了HPCC套件。它研究了使用具有各种众所周知的计算内核的内存访问模式的内核的高性能计算架构的性能。因此,HPCC结果将实际应用程序的性能作为内存访问特性的函数,并定义了HPC架构的性能边界。该套件旨在扩大TOP500名单,到目前为止,世界上10台最快的计算机中有6台的结果是公开的。实现存在于大多数主要的高端编程语言和环境中,伴随着无数的优化工作。HPCC所享有的越来越多的宣传并不一定转化为对HPCC基准性能问题的更深入理解。因此,本教程将向与会者介绍HPCC,提供检查HPC架构差异的工具,并提供实践培训,希望能够更好地理解并行环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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