International Conference on Key Engineering Materials and Computer Science (KEMCS 2011)
Conference Date
AUG 06-07, 2011
Conference Place
Dalian, PEOPLES R CHINA
Abstract
GPUs are high performance co-processors of CPU for scientific computing including CFD. We present an optimistic shared memory allocation strategy to solve 2D CFD problems using Red-Black SOR method on GPU with CUDA (Compute Unified Device Architecture). Lid-driven results are compared with the benchmark data. The speed up ratio of same problem size by using NVDIA GTX480 and Intel Core-Dual 3.0GHz processor is discussed, the performance of GPU is 120 times faster than the sequential code on CPU with the problem size of 756×756. Based on this work, we conclude that using the memory hierarchy properly has a key role in improving the computational performance of GPU.
Liu JT,Ma ZS,Li SH,et al. A GPU accelerated Red-Black SOR algorithm for computational fluid dynamics problems[C]KEY ENGINEERING MATERIALS AND COMPUTER SCIENCE,2011:335-340.
; Ma ZS(马照松)
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