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Evaluation of parallel performance of large scale computing using workstation network

机译:基于工作站网络的大规模计算并行性能评估

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Since the computing environment with many workstations on networks has recently become available, these workstations can be regarded as a virtual parallel computer, or a workstation cluster to perform finite element analyses. The parallel performance of finite element algorithms, such as the Gaussian elimination method, the conkugate gradient method and the domain decomposition method, depends strongly on the parallel parameters in the cluster system. The method to evaluate the parallel computational time and to optimize the parallel parameters are presented. The parallel computing systems are developed based on these techniques and applied to a large scale problem with 350,000 degrees of freedom using twenty-one workstations.
机译:由于最近在网络上具有许多工作站的计算环境已经可用,因此这些工作站可以被视为虚拟并行计算机或执行有限元分析的工作站集群。有限元算法(如高斯消元法、凝聚梯度法和域分解法)的并行性能在很大程度上取决于聚类系统中的并行参数。提出了并行计算时间的评估和并行参数优化的方法。并行计算系统基于这些技术开发,并使用 21 个工作站应用于具有 350,000 个自由度的大规模问题。

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