I have played with CUDA for some time and here is my simple comments. (1) The simplest way to use CUDA with R/Armadillo is to use nvblas. You can see the demo on 21st page of [1].
(2) The speedup may not as good as expected sometimes (at least in my own experiments). Best wishes, KK [1] http://on-demand.gputechconf.com/supercomputing/2013/presentation/SC3108-New-Features-CUDA%206%20-GPU-Acceleration.pdf On Sat, May 16, 2015 at 11:46 AM, Yue Li <gorilla...@gmail.com> wrote: > Dear List, > > I wonder if anyone worked on incorporating CULA tools library > functionality into Rcpp. How much speed gain on top of Rcpp do we expect on > basic operation like matrix multiplication? > > In particular, I’m currently usnig RArmadillo to seamlessly perform > matrix multiplication. But the speed gain over my R implementation is 5-10 > times if not less. > > I’m wondering if there is an equivalent easy-to-use library for doing > matrix multiplication with GPU enabled. A complete simple example would be > greatly appreciated. > > Thanks in advance, > Yue > > _______________________________________________ > Rcpp-devel mailing list > Rcpp-devel@lists.r-forge.r-project.org > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel -- Qiang Kou q...@umail.iu.edu School of Informatics and Computing, Indiana University
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