| 基于GPU 加速的边界面法正则积分的研究 |
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| 引用本文： | 张见明,余列祥,刘路平. 基于GPU 加速的边界面法正则积分的研究[J]. 湖南大学学报(自然科学版), 2013, 40(3): 41-45 |
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| 作者姓名： | 张见明 余列祥 刘路平 |
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| 作者单位： | 1. 湖南大学汽车车身先进设计与制造国家重点实验室,湖南长沙,410082
2. 中国水电顾问集团中南勘测设计研究院,湖南长沙,410014 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 基于GPU高性能并行计算,在CUDA编程环境中实现边界面法正则积分的并行加速.在NVIDIA GTX680GPU和英特尔(R)酷睿(TM)i7-3770KCPU的计算平台上与传统的正则单元积分对比.数值算例表明,在保证相同精度的前提下,加速比可达到8.3.
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| 关 键 词： | GPU 并行计算 加速 边界面法 CUDA 正则积分 |
Research on Regular Integration in Boundary Face Method Based on GPU-acceleration |
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| ZHANG Jian-ming,YU Lie-xiang,LIU Lu-ping. Research on Regular Integration in Boundary Face Method Based on GPU-acceleration[J]. Journal of Hunan University(Naturnal Science), 2013, 40(3): 41-45 |
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| Authors: | ZHANG Jian-ming YU Lie-xiang LIU Lu-ping |
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| Affiliation: | 1.State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan Univ,Changsha, Hunan 410082,China;2.Hydrochina Zhongnan Engineering Corporation,Changsha,Hunan 410014,China) |
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| Abstract: | Based on GPU high-performance parallel computation, a parallel acceleration of regular integration in boundary face method (BFM) has been implemented in CUDA (Compute Unified Device Architecture) programming environment.Comparative computations compared with traditional regular element integration were made on both NVIDIA GTX680 GPU and Intel(R) Core(TM) i7-3770K CPU.Numerical examples show that, a speedup of 8.3x has been achieved at the same level of accuracy. |
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| Keywords: | GPU parallel computing acceleration BFM CUDA regular integration |
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