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运用OpenMP和CUDA优化蒙特卡洛算法

Parallelize the Monte Carlo Algorithm with OpenMP and CUDA
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摘要 本文采用OpenMP和CUDA技术,对蒙特卡洛算法进行并行化改进,以充分利用多核处理器和GPU的计算能力,通过对比算法改进前后的性能表现,可以看到采用OpenMP和CUDA技术,能够极大提高计算性能。借鉴该方法,我们可以在个人计算机上改进相关软件计算性能。 This paper parallelizes Monte Carlo algorithm to improve the performance with OpenMP and CUDA technology in order to take full advantage of computing capability of multi-core CPU and GPU.According to the contrast between former and later the parallel improvement,it is obvious that the OpenMP and CUDA technology can greatly improve the computational performance.Following this method,we can improve computational performance of the PC software.
作者 张钦 张鹏程
出处 《安阳师范学院学报》 2012年第2期41-45,共5页 Journal of Anyang Normal University
关键词 并行计算 OPENMP CUDA CPU GPU 蒙特卡洛 parallel calculate OpenMP CUDA CPU GPU Monte Carlo
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