MOTIVATION: 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. RESULTS: R users can take advantage of the better performance provided by an Nvidia GPU. AVAILABILITY: The package is available from CRAN, the R project's repository of packages, at http://cran.r-project.org/web/packages/gputools More information about our gputools R package is available at http://brainarray.mbni.med.umich.edu/brainarray/Rgpgpu
MOTIVATION: 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. RESULTS: R users can take advantage of the better performance provided by an Nvidia GPU. AVAILABILITY: The package is available from CRAN, the R project's repository of packages, at http://cran.r-project.org/web/packages/gputools More information about our gputools R package is available at http://brainarray.mbni.med.umich.edu/brainarray/Rgpgpu
Authors: Jun Z Li; Fan Meng; Larisa Tsavaler; Simon J Evans; Prabhakara V Choudary; Hiroaki Tomita; Marquis P Vawter; David Walsh; Vida Shokoohi; Tisha Chung; William E Bunney; Edward G Jones; Huda Akil; Stanley J Watson; Richard M Myers Journal: BMC Genomics Date: 2007-09-24 Impact factor: 3.969
Authors: Tony Kam-Thong; Darina Czamara; Koji Tsuda; Karsten Borgwardt; Cathryn M Lewis; Angelika Erhardt-Lehmann; Bernhard Hemmer; Peter Rieckmann; Markus Daake; Frank Weber; Christiane Wolf; Andreas Ziegler; Benno Pütz; Florian Holsboer; Bernhard Schölkopf; Bertram Müller-Myhsok Journal: Eur J Hum Genet Date: 2010-12-08 Impact factor: 4.246