Ok, I have verified that ACML appears to be working because when I run set.seed (1) m <- 10000 n <- 5000 A <- matrix (runif (m*n),m,n) system.time (B <- crossprod(A))
It multi threads properly. My initial test script doesn't seem to utilize multiple cores, I am going to paste it below if anyone has any insight as to why R can't multithread this particular operation. It seems it might just be a code optimization problem on our end, at least I know that R is configured to use multiple cores when it can now. Y <- rnorm(1e5) X <- matrix(as.factor(rep(1:1e2, 5e3)), 1e5, 10) system.time(fit <- lm(Y~X[,1] + X[,2] + X[,3] + X[,4] + X[,5])) Thanks -- View this message in context: http://r.789695.n4.nabble.com/Trying-to-configure-R-to-use-acml-mp-tp2338257p2338482.html Sent from the R devel mailing list archive at Nabble.com. ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
