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  • 标题:Accelerating MATLAB Applications on Parallel Hardware
  • 本地全文:下载
  • 作者:Kavita Chauhan ; Javed Ashraf
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2012
  • 卷号:1
  • 期号:4
  • 出版社:IJCSN publisher
  • 摘要:MATLAB has been used widely in scientific and engineeringcommunity. The tool provides set of commands for different setof problems. The functions or commands related to complexfields such as 3 D Image/Graphics processing have been provedvery helpful for quick verification and simulations. MATLAB infact provides functions in a plethora of other areastoo. Despite the inherent convenience it provides, it comes at acost of poor performance, which becomes a hindrances to thescientific discoveries in R & D. The goal of this work is toincrease the performance of the tool. Towards this end we haveused GPUs having hundreds of processingcores. We implemented several different algorithms usingMATLAB on the GPU found that we got several times speed upas compared to the CPU.
  • 关键词:MATLAB; NVIDIA’s CUDA; JACKET;Accelerating; PARALLEL HARDWARE; GPU
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