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Performance Impact of Resource Conflicts on Chip Multi-processor Servers

机译:资源冲突对芯片多处理器服务器的性能影响

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Chip Multi-Processors (CMPs) are becoming mainstream microprocessors for High Performance Computing and commercial business applications as well. Multiple CPU cores on CMPs allow multiple software threads executing on the same chip at the same time. Thus they promise to deliver higher capacity of computations performed per chip in a given time interval. However, resource sharing among the threads executing on the same chip can cause conflicts and lead to performance degradation. Thus, in order to obtain high performance and scalability on CMP servers, it is crucial to first understand the performance impact that the resource conflicts have on the target applications. In this paper, we evaluate the performance impact of the resource conflicts on an example high-end CMP server, Sun Fire E25K, using a standard OpenMP benchmark suite, SPEC OMPL.
机译:芯片多处理器(CMP)也正成为高性能计算和商业应用的主流微处理器。 CMP上的多个CPU内核允许在同一芯片上同时执行多个软件线程。因此,它们承诺在给定的时间间隔内提供每个芯片更高的计算能力。但是,在同一芯片上执行的线程之间的资源共享可能导致冲突并导致性能下降。因此,为了在CMP服务器上获得高性能和可伸缩性,至关重要的是首先了解资源冲突对目标应用程序的性能影响。在本文中,我们使用标准OpenMP基准套件SPEC OMPL评估了资源冲突对示例高端CMP服务器Sun Fire E25K的性能影响。

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