在RAW中模拟互连网络

W. Ligon, U. Ramachandran
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引用次数: 5

摘要

作者使用一个执行驱动的仿真测试平台:可重构架构工作台(RAW)来研究应用程序特性与互联网络(ICN)性能之间的关系。RAW模拟各种各样的并行架构,包括细颗粒和粗颗粒;SIMD、MIMD和混合机器;以及各种各样的ICNs。他们介绍了RAW的网络模型,RAW网络模拟器的结构,目前在文献中流行的k-ary n-cube网络模型,以及使用模拟器的实验结果。他们的研究结果表明,应用程序特性可以对网络性能产生深远的影响:这一启示指出了在整体应用程序性能的背景下研究互连网络的好处。
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Simulating interconnection networks in RAW
The authors investigate the relationship between application program characteristics and interconnection network (ICN) performance using an execution driven simulation testbed: the reconfigurable architecture workbench (RAW). RAW simulates a wide variety of parallel architectures including both fine and coarse grain; SIMD, MIMD, and hybrid machines; and a wide variety of ICNs. They present RAW's network model, the structure of RAW's network simulator, a model for k-ary n-cube networks which are currently popular in the literature, and the results of experiments using the simulator. Their results show that application program characteristics can have a profound effect on network performance: a revelation that points out the benefits of studying interconnection networks in the context of overall application performance.<>
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