Usage of Discrete Particle Swarm Optimization Method for the Searching of Optimal Tile Size

A. Chemeris, Sergii Sushko
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引用次数: 1

Abstract

The paper considers actual methods of the software optimizations. Main attention is directed to the tiling method and parallelization. Showing the opportunities of the tiling method authors accent that tile size of the tiling method has critical influence of the optimization level. Main part of the paper dedicated to the searching of the optimal tile sizes for the better execution time of the test program. As a conclusion authors demonstrate results of the reducing execution time by applying of the particle swarm optimization method for the searching of the optimal tile sizes. The obtained results reveal that particle swarm optimization method can be used for the optimal tile size search. In the same time, parameters of the particle swarm optimization method should be picked up carefully for the faster method search.
离散粒子群优化方法在最佳瓦片尺寸搜索中的应用
本文考虑了软件优化的实际方法。主要关注的是平铺方法和并行化。展示了平铺法的机会,作者强调平铺法的平铺大小对优化水平有关键影响。论文的主要部分致力于寻找最优的瓦片大小,以获得更好的测试程序执行时间。最后给出了应用粒子群优化方法搜索最优瓦片尺寸,减少执行时间的结果。结果表明,粒子群优化方法可以用于最优瓦片尺寸的搜索。同时,为了提高算法的搜索速度,需要对粒子群优化方法的参数进行仔细的提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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