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首页> 外文期刊>The Open Cybernetics & Systemics Journal >Research on an Improved Algorithm for 3D NoC Floorplanning Based onParticle Swarm Optimization
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Research on an Improved Algorithm for 3D NoC Floorplanning Based onParticle Swarm Optimization

机译：基于粒子群算法的3D NoC布局改进算法研究

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Nowadays, three-dimensional network-on-chip (3D NoC) with its shorter global interconnects, higher performance,lower loss of interconnection, higher packing density, smaller volume, and many other advantages, has drawn moreand more attention in both industrial and academic circle. In this paper, an improved algorithm, named the algorithmbased on particle swarm optimization algorithm to optimize the floorplans (PSO-NoC), has been proposed with simulationsconducted to rectify this algorithm. The simulation results are compared with the original Simulated Annealing-NoC. The experimental results show that the PSO-NoC algorithm reduces the latency and improves the throughput comparedwith the original one. Particularly, the CPU’s process time is significantly decreased by 52.78% in the average caseand 87.08% in the best case respectively.
机译：如今，具有更短的全局互连，更高的性能，更低的互连损耗，更高的封装密度，更小的体积以及许多其他优点的三维芯片网络（3D NoC）在工业和学术领域都越来越受到关注圈。本文提出了一种改进的算法，即基于粒子群优化算法的算法，以优化平面图（PSO-NoC），并通过仿真进行了纠正。仿真结果与原始的模拟退火NoC进行了比较。实验结果表明，与原始算法相比，PSO-NoC算法减少了等待时间，提高了吞吐量。特别是，平均情况下，CPU的处理时间显着减少了52.78％，最佳情况下则显着减少了87.08％。

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