The gputools package enables GPU computing in R | Zendy

Joshua Buckner | Zendy; Justin Wilson | Zendy; Mark Seligman | Zendy; Brian D. Athey | Zendy; Stanley J. Watson | Zendy; Fan Meng | Zendy

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The gputools package enables GPU computing in R

Author(s) -

Joshua Buckner,

Justin Wilson,

Mark Seligman,

Brian D. Athey,

Stanley J. Watson,

Fan Meng

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp608

Subject(s) - computer science , cuda , graphics , r package , parallel computing , general purpose computing on graphics processing units , supercomputer , computational science , computer graphics (images)

By default, the R statistical environment does not make use of parallelism. Researchers may resort to expensive solutions such as cluster hardware for large analysis tasks. Graphics processing units (GPUs) provide an inexpensive and computationally powerful alternative. Using R and the CUDA toolkit from Nvidia, we have implemented several functions commonly used in microarray gene expression analysis for GPU-equipped computers.

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