info for cuda on R
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@alberto-goldoni-3477
Last seen 10.3 years ago
Dear All, i have seen this implementation of CUDA on the web site:http://www.culatools.com/. CULA is a GPU-accelerated linear algebra library that utilizes the NVIDIA CUDA parallel computing architecture to dramatically improve the computation speed of sophisticated mathematics. There will be the possibility to see this implementation only for matlab or it will be available for R too? Best regards. -- ----------------------------------------------------- Dr. Alberto Goldoni Bologna, Italy
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@manca-marco-path-3578
Last seen 10.3 years ago
Dear Alberto, see below your email according to the mailing list rules ________________________________________ Da: bioconductor-bounces at stat.math.ethz.ch [bioconductor-bounces at stat.math.ethz.ch] per conto di Alberto Goldoni [alberto.goldoni1975 at gmail.com] Inviato: luned? 22 febbraio 2010 13.10 A: BioC Oggetto: [BioC] info for cuda on R Dear All, i have seen this implementation of CUDA on the web site:http://www.culatools.com/. CULA is a GPU-accelerated linear algebra library that utilizes the NVIDIA CUDA parallel computing architecture to dramatically improve the computation speed of sophisticated mathematics. There will be the possibility to see this implementation only for matlab or it will be available for R too? Best regards. -- ----------------------------------------------------- Dr. Alberto Goldoni Bologna, Italy _______________________________________________ Bioconductor mailing list Bioconductor at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/bioconductor Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor you can check this page -> http://brainarray.mbni.med.umich.edu/brainarray/rgpgpu/ where a set of prototypical tools based on CUDA and the CULA project are made available. I hope this will help. All the best, Marco -- Marco Manca, MD University of Maastricht Faculty of Health, Medicine and Life Sciences (FHML) Cardiovascular Research Institute (CARIM) Mailing address: PO Box 616, 6200 MD Maastricht (The Netherlands) Visiting address: Experimental Vascular Pathology group, Dept of Pathology - Room5.08, Maastricht University Medical Center, P. Debeijelaan 25, 6229 HX Maastricht E-mail: m.manca at path.unimaas.nl Office telephone: +31(0)433874633 Personal mobile: +31(0)626441205 Twitter: @markomanka ********************************************************************** *********************************************** This email and any files transmitted with it are confide...{{dropped:15}}
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