Monte Carlo integration on GPU

被引：19
|
作者：
Kanzaki, J. [1 ]
机构：
[1] KEK, Tsukuba, Ibaraki 3050801, Japan
来源：
EUROPEAN PHYSICAL JOURNAL C | 2011年 / 71卷 / 02期
基金：
日本学术振兴会;
关键词：
GENERATION;
D O I：
10.1140/epjc/s10052-011-1559-8
中图分类号：
O412 [相对论、场论]; O572.2 [粒子物理学];
学科分类号：
摘要：
We use a graphics processing unit (GPU) for fast computations of Monte Carlo integrations. Two widely used Monte Carlo integration programs, VEGAS and BASES, are parallelized for running on a GPU. By using W+ plus multi-gluon production processes at LHC, we test the integrated cross sections and execution time for programs written in FORTRAN and running in the CPU and those running on a GPU. The integrated results agree with each other within statistical errors. The programs run about 50 times faster on the GPU than on the CPU.
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页数：7
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