cudaBayesreg: Bayesian Computation in CUDA

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Graphical processing units are rapidlygaining maturity as powerful general parallelcomputing devices. The package cudaBayesreguses GPU-oriented procedures to improve theperformance of Bayesian computations. Thepaper motivates the need for devising highperformance computing strategies in the context of fMRI data analysis. Some features of thepackage for Bayesian analysis of brain fMRI dataare illustrated. Comparative computing performance figures between sequential and parallelimplementations are presented as well.
Original languageUnknown
Pages (from-to)48-55
JournalThe R Journal
Issue number2
Publication statusPublished - 1 Jan 2010

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