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Power-Aware Mapping for Network-on-Chip Architectures under Bandwidth and Latency Constraints

机译:带宽和延迟约束下的片上架构的电源感知映射

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This paper investigates the bandwidth- and latency-constrained IP mapping problem that maps a given set of IP cores onto the tiles of a mesh-based Network-on-Chip (NoC) architecture to minimize the power consumption due to inter-core communications. By examining various applications' communication characteristics shown in their communication trace graphs, two distinguishable connectivity templates are realized: the graphs with tightly coupled vertices and those with distributed vertices. Different mapping heuristics are developed for these templates: tightly coupled vertices are mapped onto tiles that are close to each other while the distributed vertices are mapped following a graph partition scheme. The proposed template-based mapping algorithm achieves on average 15% power saving compared with MOCA, a fast greedy-based algorithm. Compared with a branch-and-bound algorithm, the proposed algorithm can generate results of almost the same quality but require much less CPU time.
机译:本文调查了带宽和延迟约束的IP映射问题,将给定的IP核集映射到基于网格的片上(NOC)架构的图块上,以最小化由于核心间通信而导致的功耗。通过检查其通信跟踪图中所示的各种应用程序的通信特性,实现了两个可区分的连接模板:具有紧密耦合顶点的图形和具有分布顶点的图形。为这些模板开发了不同的映射启发式:紧密耦合的顶点映射到彼此接近的瓦片上,而分布顶点映射在图形分区方案之后。与MoCA相比,基于模板的基于模板的映射算法平均省略了15%的省电,这是一种快速贪婪的算法。与分支和绑定算法相比,所提出的算法可以产生几乎相同质量的结果,但需要更少的CPU时间。

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