基于Android设备的SOMA并行化

Michal Bukácek
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引用次数: 0

摘要

今天的世界充满了新的、小型的个人手持设备。它们被称为智能手机或平板电脑。这些机器本身的功率总是低于台式电脑,甚至是落后的大型机。当它们组合在一起处理一个共同的任务时,它们的计算能力可以得到提高。为了检查和演示移动设备加入组的可能性,选择了SOMA算法。例如,众所周知的函数;将使用De Jong, Rosenbrock, Rastrigin或Schwefel,并实现他们的极值(最小值)。目标是测试这些移动设备的速度,以实现更多维功能的极限。本文将展示这种群连接的优点和缺点。这是一篇在知识共享署名许可(http://creativecommons.org/licenses/by/4.0/)条款下发布的开放获取文章,该许可允许在任何媒介上不受限制地使用、分发和复制,只要原始作品被适当引用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On SOMA Parallelization with Android Devices
Today's world is full of new, small, personal handhelds. They are called smartphones or tablets. The machines themselves always have less power than desktop computers or even mainframes which were left behind. Their computational power can be increased when they are joined together in a group and are addressing one common task. To check and demonstrate the possibility of the use of mobile devices being joined to a group, the SOMA algorithm was chosen. The well as known functions, for example; De Jong, Rosenbrock, Rastrigin or Schwefel will be used and their extremes (minimums) will be realized. The goal is to test the speed of these mobile devices to realize the extremes of more dimensional functions. The advantages and disadvantages of this swarm linking will be shown. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
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