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首页> 外文期刊>International Journal of High Performance Computing Applications >PERFORMANCE ANALYSIS OF A LINUX PC CLUSTER USING A DIRECT NUMERICAL SIMULATION OF FLUID TURBULENCE CODE
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PERFORMANCE ANALYSIS OF A LINUX PC CLUSTER USING A DIRECT NUMERICAL SIMULATION OF FLUID TURBULENCE CODE

机译：基于流体湍流代码直接数值模拟的LINUX PC集群性能分析

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摘要

In this paper, we have tested the parallel performance of an Intel Xeon-based Linux PC cluster using a finite element code for direct numerical simulation (DNS) of incompressible fluid turbulence. The parallel performance of the PC cluster, which used up to 64 2.8 GHz processors, was evaluated by comparing three scales of DNS trial runs consisting of 3.3, 5.8, and 10.1 million elements. Subroutines of different natures were contrasted to investigate the scalability of the DNS code. For DNS calculation of sufficiently large scale, the subroutines showed reasonable parallel efficiency. Doubling the number of processors reduced the CPU time by about 40%. Of particular interest was the CPU time required by the two subroutines handling interprocessor communication that was fairly constant within the range of processors tested. PC Linux clusters are thus affordable platforms, compared with more expensive supercomputers, to conduct large-scale scientific computing for fluid turbulence research.
机译：在本文中，我们使用有限元代码对不可压缩流体湍流的直接数值模拟（DNS），测试了基于Intel Xeon的Linux PC群集的并行性能。通过比较由3.3个，5.8个和1010万个元素组成的DNS试运行的三个规模，评估了使用多达64个2.8 GHz处理器的PC群集的并行性能。比较了不同性质的子例程，以研究DNS代码的可伸缩性。对于足够大规模的DNS计算，子例程显示出合理的并行效率。处理器数量加倍使CPU时间减少了约40％。特别令人感兴趣的是，两个子例程处理处理器间通信所需的CPU时间在测试的处理器范围内相当稳定。因此，与更昂贵的超级计算机相比，PC Linux集群是负担得起的平台，可以进行大规模科学计算以进行流体湍流研究。

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