Hi Robin,
On 2 March 2024 at 16:34, Robin Liu wrote:
| sessionInfo() was the right clue. Indeed the version of R on machine B was not
| linked to OpenBLAS. Switching to a version with OpenBLAS allows the test code
| to use all cores.
|
| A clear way to check which library is linked is to run
Hi Dirk,
sessionInfo() was the right clue. Indeed the version of R on machine B was
not linked to OpenBLAS. Switching to a version with OpenBLAS allows the
test code to use all cores.
A clear way to check which library is linked is to run the following:
> extSoftVersion()["BLAS"]
Thanks for
On 24 February 2024 at 11:44, Robin Liu wrote:
| Thank you Dirk for the response.
|
| I called RcppArmadillo::armadillo_get_number_of_omp_threads() on both machines
| and correctly see that machine A and B have 20 and 40 cores, respectively. I
| also see that calling the setter changes this
Thank you Dirk for the response.
I called RcppArmadillo::armadillo_get_number_of_omp_threads() on both
machines and correctly see that machine A and B have 20 and 40 cores,
respectively. I also see that calling the setter changes this value.
However, calling the setter does not seem to change
On 23 February 2024 at 09:35, Robin Liu wrote:
| Hi all,
|
| Here is an R script that uses Armadillo to decompose a large matrix and print
| the first 10 eigenvalues.
|
| library(RcppArmadillo)
| library(Rcpp)
|
| src <-
| r"(#include
|
| // [[Rcpp::depends(RcppArmadillo)]]
|
| //
