This is very interesting, as I intend to buy an ARM Mac just because it has a lot of GPUs to play with. Quick question to Simon, who is also developing OpenCL, is there a C level API to start kernel workers from the C level of my own package? That would greatly extend the capabilities of my R package C code.
I second Bill's thanks for all your efforts, Adrian On Wed, 22 Feb 2023 at 00:31, Simon Urbanek <simon.urba...@r-project.org> wrote: > Bill, > > to answer the general part of you question, there are quite a few packages > that allow you to use your GPU. At the low level you can use OpenCL which > allows you to write code directly on the GPU and turn it into R functions. > At a higher level there are frameworks like Torch and Tensorflow that > support GPUs and there are packages like keras or rTorch that provide > interfaces to that, e.g. for machine learning models. All those support > Apple silicon GPUs. > > However, you mentioned bigCor which is orthogonal to that. There are > papers (such as https://doi.org/10.1134/S1995080219050068 ) that describe > some approaches to using GPUs to compute covariance matrices, but in > general GPUs don't really give you a large benefit on their own since it is > a lot more about memory management and using smart algorithms/data > structures to reduce the necessary computation. You may have more luck > asking in HPC forums about that since is not really Mac-specifc (and the > answer may depend on what you are actually trying to do so may need more > details). > > Cheers, > Simon > > > > On 22/02/2023, at 6:12 AM, William R Revelle <reve...@northwestern.edu> > wrote: > > > > Dear R-Mac users. > > > > In trying to speed up a large correlation problem (600K subjects, 6k > variables,) which I can do using my bigCor function, I decided it was time > to learn how to use GPU on my Mac book with its M1 Max gpu. > > > > Having spent a day searching the web and trying various approaches, I > give up. > > > > Are there any packages I can use to do calculations on the GPU part of > my Mac using R? > > > > Thanks. > > > > Bill > > > > William Revelle personality-project.org/revelle.html > > Professor personality-project.org > > Department of Psychology www.wcas.northwestern.edu/psych/ > > Northwestern University www.northwestern.edu/ > > Use R for psychology personality-project.org/r > > It is 90 seconds to midnight www.thebulletin.org > > > > _______________________________________________ > > R-SIG-Mac mailing list > > R-SIG-Mac@r-project.org > > https://stat.ethz.ch/mailman/listinfo/r-sig-mac > > > > _______________________________________________ > R-SIG-Mac mailing list > R-SIG-Mac@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-mac > -- Adrian Dusa University of Bucharest Romanian Social Data Archive Soseaua Panduri nr. 90-92 050663 Bucharest sector 5 Romania https://adriandusa.eu [[alternative HTML version deleted]] _______________________________________________ R-SIG-Mac mailing list R-SIG-Mac@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-mac
