探索基于noc的mpsoc动态聚类的资源映射策略

Gustavo Girão, Thiago Santini, F. Wagner
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引用次数: 5

摘要

同一芯片中处理器、内存和其他组件数量的急剧增加需要资源感知机制来提高性能。本文为基于noc的mpsoc提出了四种不同的资源映射策略,这些策略利用了应用程序并行特性的不同方面和架构约束,例如片外内存延迟。结果表明,使用这些策略平均可以将性能提高22.5%,在某些情况下,根据每个应用程序的并行编程模型,性能的提高可能高达32%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring resource mapping policies for dynamic clustering on NoC-based MPSoCs
The dramatic increase in the number of processors, memories and other components in the same chip calls for resource-aware mechanisms to improve performance. This paper proposes four different resource mapping policies for NoC-based MPSoCs that leverage on distinct aspects of the parallel nature of the applications and on architecture constraints, such as off-chip memory latency. Results show that the use of these policies can improve performance up to 22.5% in average, and, in some cases, depending on the parallel programming model of each application, the improvement may reach up to 32%.
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