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The parallelization of the Keller box method on heterogeneous cluster of workstations

机译:异构工作站集群上Keller box方法的并行化

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摘要

High performance computing is the branch of parallel computing dealing with very large problems and large parallel computers that can solve those problems in a reasonable amount of time. This paper will describe the parallelization of the Keller-box method using the high performance computing on heterogeneous cluster of workstations. The problem statement is based on the equation of boundary-layer flow due to a moving flat plate. The objective is to develop the parallel algorithm of the Keller-box method in purpose to solve a large size of matrix. The parallelization is based on the domain decomposition, where the upper and lower matrices will be splitting into a number of blocks, which then will be compute concurrently on the parallel computers. The experiment was run using 200, 2000, and 20000 size of matrices and using 10 number of processors. The comparison was made from the results obtained from that various size of matrices by doing the analysis based on the performance measurement in terms of time execution, speedup, and effectiveness.
机译:高性能计算是并行计算的一个分支,可以处理非常大的问题,而大型并行计算机可以在合理的时间内解决这些问题。本文将描述在异构工作站集群上使用高性能计算进行的Keller-box方法的并行化。问题陈述基于平板运动引起的边界层流动方程。目的是开发Keller-box方法的并行算法,以解决较大尺寸的矩阵。并行化基于域分解,其中上,下矩阵将拆分为多个块,然后将在并行计算机上同时进行计算。使用200、2000和20000尺寸的矩阵并使用10个处理器来运行该实验。通过从基于性能度量的时间执行,加速和有效性方面进行分析,根据从各种尺寸的矩阵获得的结果进行比较。

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