Special Article - Tools for Experiment and Theory
Monte Carlo integration on GPU
KEK, Tsukuba, 305-0801, Japan
* e-mail: firstname.lastname@example.org
Revised: 19 January 2011
Published online: 8 February 2011
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.
© Springer-Verlag / Società Italiana di Fisica, 2011