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Assessment of NSF application benchmarks on SGI Altix machines and Cray Opteron cluster

机译:在SGI Altix机器和Cray Opteron群集上评估NSF应用程序基准

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The National Science Foundation released a set of application benchmarks that would be a key factor in selecting the next-generation high-performance computing environment. These benchmarks consist of six codes that require large amount of memory and work with large data sets. Here we study the complexity, performance and scalability of these codes on three SGI machines: a 512-processor Altix 3700, a 512-processor Altix 3700/BX2 and 512-processor dual-core based Altix 4700; and a 128-processor Cray Opteron cluster interconnected by the Myrinet network. We evaluated these codes for two different problem sizes using different numbers of processors. Our results show that some of these codes scale up very well as we increase the number of processors while others scaled up poorly. Also, one code achieved about 2/3 of the peak rate of an SGI Altix processor. Moreover, the dual-core system achieved comparable performance results to the single-core system.
机译:美国国家科学基金会(National Science Foundation)发布了一组应用程序基准,这将是选择下一代高性能计算环境的关键因素。这些基准测试由六个代码组成,这些代码需要大量内存并可以处理大量数据集。在这里,我们在三台SGI机器上研究这些代码的复杂性,性能和可伸缩性:基于512处理器的Altix 3700,基于512处理器的Altix 3700 / BX2和基于512处理器的双核Altix 4700。通过Myrinet网络互连的128个处理器的Cray Opteron集群。我们使用不同数量的处理器针对两种不同的问题大小评估了这些代码。我们的结果表明,随着我们增加处理器数量,其中一些代码可以很好地扩展,而其他代码则不能很好地扩展。同样,一个代码可以达到SGI Altix处理器峰值速率的约2/3。而且,双核系统在性能上可与单核系统相媲美。

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