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Unsteady Turbulent Simulations on a Cluster of Graphics Processors 基于图形处理器集群的非定常湍流模拟
Pub Date : 2009-06-22 DOI: 10.2514/6.2009-4002
E. Phillips, R. Davis, John Douglas Owens
Author(s): Phillips, Everett H.; Davis, Roger L.; Owens, John D. | Abstract: This paper describes the GPU accelerated MBFLO2 multi-block turbulent flow solver completely in double precision using CUDA and the latest generation of GPU processors. On a cluster of 8 Tesla C2050 ''Fermi'' GPUs and Intel Xeon X5550 ''Nehalem'' quad-core CPUs, we achieve 9x speedup over the parallel CPU solver or 70x speedup over the serial solver. High performance is obtained by optimizing the data layout on the GPU, optimizing data transfers and using asynchronous memory copies to overlap GPU execution with communications. We test the solver on a turbulent flat plate and an unsteady turbulent cylinder with 3.2 million grid points. We confirm the GPU results are in agreement with turbulent flow theory. We discuss the GPU optimization techniques used to reach this level of performance.
作者:Phillips, Everett H.;罗杰·l·戴维斯;摘要:本文介绍了基于CUDA和最新一代GPU处理器的GPU加速MBFLO2多块湍流完全双精度求解器。在一个由8个Tesla C2050“Fermi”gpu和Intel Xeon X5550“Nehalem”四核CPU组成的集群上,我们实现了比并行CPU求解器快9倍或比串行求解器快70倍的加速。通过优化GPU上的数据布局、优化数据传输和使用异步内存副本使GPU执行与通信重叠,可以获得高性能。在紊流平板和具有320万个网格点的非定常紊流柱体上对求解器进行了测试。我们证实了GPU计算结果与湍流理论是一致的。我们将讨论用于达到此性能级别的GPU优化技术。
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引用次数: 24
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40th Fluid Dynamics Conference and Exhibit
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