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基于GPU加速的边界面法正则积分的研究 被引量：4

Research on Regular Integration in Boundary Face Method Based on GPU-acceleration
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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. 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 Archi- tecture） 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.
作者 张见明 余列祥 刘路平
机构地区 湖南大学汽车车身先进设计与制造国家重点实验室 中国水电顾问集团中南勘测设计研究院
出处 《湖南大学学报（自然科学版）》 EI CAS CSCD 北大核心 2013年第3期41-45,共5页 Journal of Hunan University:Natural Sciences
基金 国家自然科学基金资助项目(10972074 11172098)
关键词 GPU 并行计算 加速 边界面法 CUDA 正则积分 GPU parallel computing acceleration BFM CUDA regular integration
分类号 TH164 [机械工程—机械制造及自动化]
  • 相关文献

参考文献18

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二级参考文献11

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共引文献16

同被引文献35

  • 1陈海波,金建峰,张培强,吕品.Multi-Variable Non-Singular BEM for 2-D Potential Problems[J].Tsinghua Science and Technology,2005,10(1):43-50. 被引量：2
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引证文献4

二级引证文献6

湖南大学学报（自然科学版）
2013年 第3期

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