出版社
IEEE
DOI: 10.1145/3338852.3339835
关键词
Particle Swarm Optimization; Network-on-Chip; Real-time Systems; Parameter Control
This paper presents a modified version of the well-known Particle Swarm Optimization (PSO) algorithm as an alternative for the single-objective Genetic Algorithm (GA) that is currently the state-of-the-art method to map real-time applications tasks onto Multiple Processors System-on-a-Chip (MPSoC) using preemptive capable wormhole-based Network-on-a-Chip (NoC) as their communication architecture. A statistical study based on an experimental setup has been performed to compare the GA-based task mapper and the proposed method by using a real-time application as a benchmark, as well as a group of randomly generated ones. Preliminary results have shown that our method is capable of achieving quicker convergence than the GA-based method, and it even produces better results when the application utilization is smaller than the available processing capacity, i.e., a fully schedulable mapping solution exists.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据