On 22 September 2018 at 17:52, Jordi Molins wrote: | In relation to doing "CPU x GPU": what would happen if I have 3 variables | to be parallelized (independent from each other, no interdependencies) and | then I create an R function, using RcppArrayFire, to GPU-parallelize two of | them. Then, I use foreach (or similar) in R to CPU-paralellize the third | one (and for each variable of the third one, the R function is called, and | then internally, RcppArrayFire uses GPUs).
Just because you want to access ONE gpu device N times does not make it N gpus. And as you have only one GPU, if you call it N times "in parallel" (we know: time sliced) you get contention. No different from having OpenBLAS or Intel MKL using ALL your cores for matrix algebra. If you can that from any of the R process parallel helpers you get contention. All this is well documented. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org _______________________________________________ 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
