Modeling Variation of Performance Metric of Distributed Memory Heterogeneous Parallel Computer System Using Recursive Models

O. E. Oguike, S. Echezona, M. Agu, D. Ebem, H. Longe, O. Abass
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引用次数: 3

Abstract

In a heterogeneous parallel computer system, the computational power of each of the processors differs from one another. Furthermore, with distributed memory, the capacity of the memory, which is distributed to each of the processors, differs from one another. Using queuing system to describe a distributed memory heterogeneous parallel computer system, each of the heterogeneous processors will have its own heterogeneous queue. The variation of a performance metric of heterogeneous parallel computer system with distributed memory needs to be modeled because it will help designers of parallel computer system to determine the extent of variation of a performance metric. It will also help users to know when to realize minimum variation of a performance metric. This paper models the variation of a performance metric of distributed memory heterogeneous parallel computer system using recursive models.
用递归模型建模分布式内存异构并行计算机系统性能指标的变化
在异构并行计算机系统中,每个处理器的计算能力彼此不同。此外,对于分布式存储器,分配给每个处理器的存储器的容量彼此不同。用排队系统描述分布式内存异构并行计算机系统,每个异构处理器都有自己的异构队列。具有分布式内存的异构并行计算机系统性能指标的变化需要建模,因为它将帮助并行计算机系统的设计者确定性能指标的变化程度。它还将帮助用户了解何时实现性能指标的最小变化。本文采用递归模型对分布式存储异构并行计算机系统性能指标的变化进行了建模。
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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