Re: [R] .Call using multiple cores on linux after R 3.3.3

Thanks, Jeff! You are absolutely correct. We have OPENBLAS installed in our environment that causes this. One way to "fix" it is: library(RhpcBLASctl) blas_get_num_procs() blas_set_num_threads(1) stopifnot(blas_get_num_procs()==1) On Sat, Apr 20, 2019 at 9:06 AM Jeff Newmiller wrote: > My

Re: [R] .Call using multiple cores on linux after R 3.3.3

My guess would be that you are running with a non-CRAN distribution of R like Anaconda or MRAN that has MKL enabled? On April 19, 2019 10:25:57 AM PDT, Youyi Fong wrote: >Hi, I am wondering why it is the case that in R 3.3.3, calling >chngpt:chngptm uses only 1 core, but in later releases, e.g.

[R] .Call using multiple cores on linux after R 3.3.3

Hi, I am wondering why it is the case that in R 3.3.3, calling chngpt:chngptm uses only 1 core, but in later releases, e.g. R 3.4.3, it uses multiple cores on linux. The function chngpt:chngptm has a .Call to invoke a C/C++ function that performs bootstrapping. No explicit parallel computing