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Solving one-dimensional IHCP with particle swarm optimization using graphics accelerators

机译:使用图形加速器通过粒子群优化解决一维IHCP

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摘要

There are several implicit and explicit formulations to solve the Inverse Heat Conduction Problem. One of the most promising methods is the Particle Swarm Optimization; however, it needs a long time to find solutions for large scale problems (large swarm populations). This paper presents the implementation and the evaluation of a parallel approach using graphics accelerators. This GPU implementation is about three times faster than the original CPU based method.
机译:有几种隐式和显式公式可解决逆导热问题。最有前途的方法之一是粒子群优化。但是,要解决大规模问题(大量人口)需要很长时间。本文介绍了使用图形加速器的并行方法的实现和评估。这种GPU实现比原始的基于CPU的方法快大约三倍。

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