提高异构大数据并行系统性能

[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation Pub Date : 1992-10-19 DOI:10.1109/FMPC.1992.234901

S. Noh, K. Dussa-Zieger

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引用次数: 5

摘要

作者介绍了一种新的SIMD/MIMD(单指令多数据/多指令多数据)组合体系结构，称为混合系统。混合动力系统由两部分组成。第一个组件是大规模并行的，由在SIMD体系结构中组织的大量慢速处理器组成。第二个组件仅由几个快速处理器(可能只有一个)组成，这些处理器组织在一个MIMD体系结构中。作者认为，混合系统提供了一种手段，以充分调整并行程序的特点，即改变并行性。他们描述了机器和应用模型，并讨论了这样一个系统对性能的影响。将CM-2及其前端视为混合系统的特殊情况，他们证实了这些论点，并报告了高斯消除算法的测量结果。

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Improving massively data parallel system performance with heterogeneity

The authors introduce a new type of combined SIMD/MIMD (single-instruction multiple-data/multiple-instruction multiple-data) architecture called a hybrid system. The hybrid system consists of two components. The first component is massively parallel and consists of a large number of slow processors that are organized in an SIMD architecture. The second component consists of only a few fast processors (possibly only one) which are organized in an MIMD architecture. The authors contend that a hybrid system provides a means to adequately adjust to the characteristics of a parallel program, i.e., changing parallelism. They describe the machine and application model, and discuss the performance impact of such a system. Viewing the CM-2 with its front-end as a special case of a hybrid system, they substantiate the arguments and report measurements for a Gaussian elimination algorithm.<>

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[Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation

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