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  • 标题:Solving Monte-Carlo Method by Using GPU and CPU.
  • 本地全文:下载
  • 作者:Jameer Kotwal ; Sachin D Babar
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:324-326
  • 出版社:TechScience Publications
  • 摘要:An arrival of high performance computing for a big dataand graphics processing unit(GPU) used for fast rendering, 3D scenesetc present an huge computational resources for big data that requiresmore computational power for processing the data parallel for robustand giving the correct data analysis. CUDA (Compute Unified DeviceArchitecture) is a platform built by NVIDIA for implementing thetask parallel. World is moving very fast from serial execution toparallel execution. One of the experimental result is shown in thispaper by solving the monte carlo method for calculation of pi(). Thecalculation of pi code is executed on CPU and GPU. Here in this paperthe measure factor is time required for executing the pi code on CPUwell as on GPU.
  • 关键词:GPU; CUDA programming; C programming;Monte Carlo method; parallel programming
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