GPU implementation for high-order numerical flow simulation
Publish place: 15th Fluid Dynamics Conference
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CFD15_162
تاریخ نمایه سازی: 29 تیر 1393
Abstract:
Modern Graphics Processing Units (GPUs) with many-core architectures have emerged asgeneral-purpose parallel computing platforms that can accelerate simulation applicationstremendously. In this study, GPU is implemented in order to accelerate flow simulation with ahigh-order method. A two-dimensional inviscid Compressible flow and two-dimensionalincompressible viscous flow are chosen as the test cases. The Beam and Warming linearizationscheme is used to discretize the Euler equation for the compressible flow and stream functionvorticityformulation for incompressible flow simulation. For both test cases the fourth-ordercompact finite-difference scheme is applied to spatial discretization. Moreover, a highperformanceGPU-implemented block-tridiagonal solver based on Block Cyclic Reduction(BCR) algorithm is utilized. The efficiency of GPU for high-order flow simulation is investigatedusing NVIDIA GTX480 graphics card. Speedups between 2.5x–4.5x are achieved in comparisonto the Intel Core 2 Duo E7400 2.8GHz CPU for different grid sizes.
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Authors
Vahid Esfahanian
Head of Vehicle, Fuel and Environment Research Institute of University of Tehran
Mohammad Ali Hedayat
Master of Science Student, University of Tehran
Majid Allahyari
Master of Science Student, University of Tehran
Behzad Baghapour
PhD Student, University of Tehran
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