文章基本信息

标题：Intelligent Spatial-based Resource Allocation Algorithms in NoC
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作者：Yuan, Jingling ; Fu, Xin ; Li, Tao 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2013
卷号：8
期号：3
页码：541-549
DOI：10.4304/jcp.8.3.541-549
语种：English
出版社：Academy Publisher
摘要：The Network-on-Chip (NoC) approach is a promising solution to the increasing complexity of on-chip communication problems due to its high scalability. A NoC architecture design with ultra-low latency and high throughput is critical in order to support a wide range of applications. In this paper, we propose novel spatial-based NoC resource allocation algorithms to reduce the communication congestions so that efficiently improve the overall performance. We propose both offline (e.g. probability-based searching, genetic-based searching) and online (e.g. online greedy, one-corner, four corner) algorithms for NoC resource allocation. Based on our experiment results, the proposed algorithms show strong capability of improving the NoC performance.
关键词：Network-on-chip;multi/may-core processors;NoC resource allocation;2D compaction algorithms;spatial-based global optimization