在软件DSM集群上分配程序工作负载的新方法

7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings. Pub Date : 2004-05-10 DOI:10.1109/ISPAN.2004.1300481

Tyng-Yeu Liang, Yen-Tso Liu, C. Shieh, Chun-Yi Wu

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引用次数: 1

摘要

软件分布式共享内存(DSM)集群使用的工作负载分配方法总是根据处理器的计算能力来分配应用程序的工作线程。然而，除了计算成本之外，内存访问成本也是决定程序性能的一个重要因素。忽略此成本将导致在工作负载分配中做出错误的决策，从而降低程序性能。为了解决这一问题，本文提出了一种同时考虑处理器的存储能力和计算能力的软件DSM集群工作负载分配的新方法。我们已经在一个试验台上实现了所提出的方法。实验结果表明，与仅考虑计算能力或内存容量的其他方法相比，所提出的方法可以为应用程序提供更多的性能改进。

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A new approach to distribute program workload on software DSM clusters

The workload distribution approaches used by software distributed shared memory (DSM) clusters always distribute the working threads of applications according to the computational power of processors. However, in addition to computational cost, the cost of memory accesses is an important factor for determining program performance. Neglecting this cost will result in making wrong decisions in workload distribution and then degrading program performance. To address this problem, we propose a new approach with simultaneously considering the memory capability and the computational power of processors for workload distribution on software DSM clusters in this paper. We have implemented the proposed approach on a test bed. Our experimental results show that the proposed approach can provide more performance improvement for the applications compared to the others with considering only computational powers or memory capabilities.

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7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.

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