片上网络系统OAB和AAB通信调度的进化设计

J. Jaros, V. Dvorák
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引用次数: 0

摘要

一对所有广播(OAB)和所有对所有广播(AAB) (Defago, 2003)组通信在许多并行算法中经常使用,如果它们的开销过大,性能会随着处理器数量的增加而迅速下降。本文讨论了一种新的特定于应用的贝叶斯优化算法(BOA)和标准遗传算法(SGA)的设计,这两种算法都能在任意多处理器拓扑结构下产生几乎最优的通信调度。我们演示了使用虫洞(WH)交换在超立方体和AMP拓扑(Chalmers, 1996)上的优化过程
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary Design of OAB and AAB Communication Schedules for Networking Systems on Chips
One-to-all broadcast (OAB) and all-to-all broadcast (AAB) (Defago, 2003) group communications are frequently used in many parallel algorithms and if their overhead is excessive, performance degrades rapidly with processor count. This paper deals with the design of a new application specific Bayesian optimization algorithm (BOA) and standard genetic algorithm (SGA) that both produce almost optimal communication schedules for an arbitrary multiprocessor topology. We demonstrated the optimization process on hypercube and AMP topology (Chalmers, 1996) using wormhole (WH) switching
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