大规模并行MIMD计算机的CPU利用率限制

T. Bridges, S. W. Kitchel, R.M. Wehrmeister
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引用次数: 16

摘要

基于现成的CPU芯片组的大规模并行计算机系统已经商业化。作者论证了随着处理器数量的增加,这种架构的硅(或其他电路介质)利用率的理论极限。此外,还介绍了Thinking Machines Corporation CM-5和Intel Touchstone的案例研究,以量化现有机器的最大利用率。基于这种利用限制,作者研究了计算机架构师目前对MIMD(多指令多数据)模型的依赖是否将在下一代机器中实用。为了便于分析,他们分别从MIMD和SIMD(单指令多数据)目标平台解耦了计算的控制并行和数据并行模型。介绍了在SIMD平台上执行的控制并行范式的使用情况进行比较。作者还考虑了在需要虚拟处理节点的情况下,通信开销与机器大小缩放的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A CPU utilization limit for massively parallel MIMD computers
Massively parallel computer systems based on off-the-shelf CPU chip-sets have become commercially available. The authors demonstrate a theoretical limit on the silicon (or other circuitry media) utilization of such architectures as the number of processors is scaled up. In addition, case studies of the Thinking Machines Corporation CM-5 and of the Intel Touchstone are presented in order to quantify the maximum utilization on existing machines. Based on this utilization limit, the authors examine whether computer architects' current reliance on the MIMD (multiple-instruction multiple-data) model will be practical in next-generation machines. In order to facilitate the analysis, they decouple the control parallel and data parallel models of computation from MIMD and SIMD (single-instruction multiple-data) target platforms, respectively. Utilization of control parallel paradigms executing on SIMD platforms is introduced for comparison. The authors also consider the relationship of communication overhead to machine size scaling in the presence of the need for virtual processing nodes.<>
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