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文章基本信息

  • 标题:Molecular dynamics Parallel simulation of Carbon Nanotubes based on GPU
  • 本地全文:下载
  • 作者:IJCTSheng Lai ; Xiaohua Meng ; Dongqin Zheng
  • 期刊名称:International Journal of Computer Techniques
  • 电子版ISSN:2394-2231
  • 出版年度:2016
  • 卷号:3
  • 期号:2
  • 页码:1-9
  • 语种:English
  • 出版社:International Research Group - IRG
  • 摘要:Molecular dynamics simulation is in-comparably superior to both experiments method and theoretical analysis. However, because computational effort of molecular dynamics simulation is very large, especially, the simulation of a large number of Carbon Nano Tube (CNT) particles, general CPU serial algorithm implementation is inefficient and slow. A Compute Unified Device Architecture (CUDA) based parallel algorithm of CNT molecular dynamics is proposed in this paper to take advantage of the data parallelism of Graphic Processing Unit (GPU). A CNT is divided to several blocks and processed parallel in the GPU. Experimental results show that the algorithm can obtain a speed-up more than 10 times to the CPU serial algorithm in a low-configured graphics card that has only 16 GPU stream processors.
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