Direct Numerical Simulation of Turbulence with a PC/Linux Cluster: Fact or Fiction?

G. Karamanos, C. Evangelinos, R. C. Boes, R. Kirby, G. Karniadakis
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引用次数: 17

Abstract

Direct Numerical Simulation (DNS) of turbulence requires many CPU days and Gigabytes of memory. These requirements limit most DNS to using supercomputers, available at supercomputer centres. With the rapid development and low cost of PCs, PC clusters are evaluated as a viable low-cost option for scientific computing. Both low-end and high-end PC clusters, ranging from 2 to 128 processors, are compared to a range of existing supercomputers, such as the IBM SP nodes, Silicon Graphics Origin 2000, Fujitsu AP3000 and Cray T3E. The comparison concentrates on CPU and communication performance. At the kernel level, BLAS libraries are used for CPU performance evaluation. Regarding communication, the free implementations of MPICH and LAM are used on fast-ethernet-based systems and compared to myrinet-based and supercomputer networks. At the application level, serial and parallel simulations are performed on state of the art DNS, such as turbulent wake flows in stationary and moving computational domains.
用PC/Linux集群直接数值模拟湍流:事实还是虚构?
湍流的直接数值模拟(DNS)需要许多CPU天数和千兆字节的内存。这些要求限制了大多数DNS只能使用超级计算机,这些超级计算机可以在超级计算机中心使用。随着PC的快速发展和低成本,PC集群被认为是科学计算的一种可行的低成本选择。从2到128个处理器的低端和高端PC集群,都与一系列现有的超级计算机进行了比较,如IBM SP节点、Silicon Graphics Origin 2000、富士通AP3000和Cray T3E。比较主要集中在CPU和通信性能上。在内核级别,BLAS库用于CPU性能评估。在通信方面,MPICH和LAM的免费实现在基于快速以太网的系统上使用,并与基于myrinet和超级计算机的网络进行了比较。在应用层面,对最先进的DNS进行了串行和并行模拟,例如静止和移动计算域中的湍流尾流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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