On the Utility of Graphics Cards to Perform Massively Parallel Simulation of Advanced Monte Carlo Methods

We present a case study on the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods. Graphics cards, containing multiple Graphics Processing Units (GPUs), are self-contained parallel computational devices that can be housed in conventional desktop and la...

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Vydané v:	Journal of computational and graphical statistics Ročník 19; číslo 4; s. 769 - 789
Hlavní autori:	Lee, Anthony, Yau, Christopher, Giles, Michael B., Doucet, Arnaud, Holmes, Christopher C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Taylor & Francis 01.12.2010 JCGS Management Committee of the American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America Taylor & Francis Ltd
Predmet:	Algorithms Architecture Arithmetic Computer memory General purpose computation on graphics processing units Many-core architecture Markov analysis Markov chains Microprocessors Monte Carlo methods Monte Carlo simulation Outliers and Influential Cases Parallel computing Parallel processing Population-based Markov chain Monte Carlo Sampling distributions Sampling methods Simulation Stochastic models Stochastic simulation Studies
ISSN:	1061-8600, 1537-2715
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