Monte Carlo integration on GPU

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 ex...

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Veröffentlicht in:	The European physical journal. C, Particles and fields Particles and fields, 2011-02, Vol.71 (2), p.7-7, Article 1559
1. Verfasser:	Kanzaki, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomy Astrophysics and Cosmology C (programming language) Central processing units Computation Computer simulation Cross sections Elementary Particles Exact sciences and technology FORTRAN Gluons Graphics processing units Hadrons Heavy Ions Measurement Science and Instrumentation Monte Carlo methods Monte Carlo simulation Multiprocessing Nuclear Energy Nuclear Physics Parallel processing Physics Physics and Astronomy Quantum Field Theories Quantum Field Theory Running Special Article - Tools for Experiment and Theory String Theory The physics of elementary particles and fields
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Beschreibung
Zusammenfassung:	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.
ISSN:	1434-6044 1434-6052
DOI:	10.1140/epjc/s10052-011-1559-8