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A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

Ji Yimu, Kuang Zizhuo, Pan Qiao Yu, Sun Yanpeng, Kang Jiangbang, Huang Wei
College of Computer, Nanjing University of Posts and Telecommunication, Jiangsu, China
Cybernetics and Information Technologies, Volume 13, Special Issue, 2013

@article{yimu2013cloud,

   title={A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo},

   author={Yimu, Ji and Zizhuo, Kuang and Yu, Pan Qiao and Yanpeng, Sun and Jiangbang, Kang and Wei, Huang},

   year={2013}

}

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The GPGPU (General Purpose Graphics Processing Units) have become a whole new area for research due to the fast development of GPU hardware and programming tools, such as CUDA (Compute Unified Device Architecture). Here we have made a research on CUDA and its applications in the field of scientific computation, as organ electronics. We propose one solution of the parallel computation in global optimization of the physical characteristics in organ electronics with Monte Carlo, and one cloud service architecture for parallel computation of organ electronics was designed. Finally, one case of computing the organ molecule moving orbit was implemented based on the above solution and architecture, and has got a good display by the cloud service.
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