On Sat, Jun 12, 2010 at 3:16 PM, Tal Galili <tal.gal...@gmail.com> wrote: > Hello Douglas, > > Thank you for the BLAST!=BLAS correction (I imagine my slip was due to some > working I have done recently with an RNA analysis software called BLAST). > > Also, thank you for the very interesting posting here and in your reply to > David's post. > > My current conclusion from this thread are that: > 1) This should be interesting ONLY if I will be working on large matrices > and doing "very specific > kinds of operations". (I imagine David's examples on his post demonstrate > those) > 2) In case I would like to do it, I will need to go follow the actions > detailed here (thank you for the pointer): > http://cran.r-project.org/bin/windows/base/rw-FAQ.html#Can-I-use-a-fast-BLAS_003f > And more or less pray that my computer specification are relevant. > <http://cran.r-project.org/bin/windows/base/rw-FAQ.html#Can-I-use-a-fast-BLAS_003f>(Although > I do wonder how does REvolution distribution succeeds in doing this without > making the user do any more steps then just installing R) >
Another option if you discover that your algorithm benefits from massive parallelism is computing on the GPU. There are BLAS implementations, for examples: http://gpgpu.org/index.php?s=BLAS&searchbutton=Search but integration with R is another issue (and I have a vague memory it was covered in threads on R-dev recently, which is probably where this thread should be anyway). Barry ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.