similar to: R, OpenBLAS and OMP_NUM_THREEADS

On 02/08/16 03:10, Ei-ji Nakama wrote: > Hi, > > Create /etc/profile.d/openblas.sh. > Write the following during in this file. > OPENBLAS_NUM_THREADS = 1 > export OPENBLAS_NUM_THREADS > > OPENBLAS_NUM_THREADS environment variable does not affect the OMP_NUM_THREADS. > Thanks for the response. This works fine for R run from the command line (as does setting the same

Hi, Create /etc/profile.d/openblas.sh. Write the following during in this file. OPENBLAS_NUM_THREADS = 1 export OPENBLAS_NUM_THREADS OPENBLAS_NUM_THREADS environment variable does not affect the OMP_NUM_THREADS. 2016-08-01 20:06 GMT+09:00 Gordon Ball <gordon at chronitis.net>: > What is the correct way to globally configure R to default to single (or > at least, << NUM_CPUS)

Hi, I was be half asleep in the heat ... 2016-08-04 0:04 GMT+09:00 Dirk Eddelbuettel <edd at debian.org>: > > On 3 August 2016 at 16:45, Gordon Ball wrote: > | On 02/08/16 03:10, Ei-ji Nakama wrote: > | > Hi, > | > > | > Create /etc/profile.d/openblas.sh. > | > Write the following during in this file. > | > OPENBLAS_NUM_THREADS = 1 > | > export

On 3 August 2016 at 16:45, Gordon Ball wrote: | On 02/08/16 03:10, Ei-ji Nakama wrote: | > Hi, | > | > Create /etc/profile.d/openblas.sh. | > Write the following during in this file. | > OPENBLAS_NUM_THREADS = 1 | > export OPENBLAS_NUM_THREADS | > | > OPENBLAS_NUM_THREADS environment variable does not affect the OMP_NUM_THREADS. Thumbs up to using /etc/profile.d/ -- very

Dear R Core Team, I wish to report what can be viewed as a bug or at least a strange behavior in R-3.4.1. I ask my question here (as recommended on https://www.r-project.org/bugs.html) since I am not member of the R's Bugzilla. When running 'R --vanilla' from the command line, the standard matrix product is by default based on BLAS and multi-threaded on all cores available on

Has anyone succeeded in getting a parallel BLAS, such as Goto's BLAS, installed on a machine running Ubuntu 11.10? I currently have the libatlas3gf-base package installed on a machine with an AMD Athlon X4 processor. I tried to install the libopenblas-base and libopenblas-dev packages but there seemed to be a glich related to having both libopenblas and libatlas3gf installed so that when I

Hi Tomas, Thanks for your answer. Indeed, I checked and my R-3.4.1 installed from the ubuntu repository use 'libopenblasp-r0.2.18.so' while my R-3.3.2 that I did compiled on my machine use 'libRblas.so' which explain the difference of behavior. I will use RhpcBLASctl to avoid issue when combining matrix product and other multi-threading package. Maybe this point regarding

Hi, I experience surprisingly large timing differences for the multiplication of matrices of the same dimension. An example is given below. How can this be explained? I posted the question on Stackoverflow: https://stackoverflow.com/questions/58886111/r-why-is-matrix-product-slower-when-matrix-has-very-small-values Somebody could reproduce the behavior but I did not get any useful explanations

Am Montag, 29. April 2019, 13:44:03 CEST schrieb Kurt Hornik: > >>>>> Johannes Ranke writes: > Thanks. You may have seen that with current gfortran in > testing/unstable, there are problems with the R BLAS/LAPACK API entries > using a Fortran interface (and hence in particular when using the BLAS > and LAPACK sources that ship with R). No, I wasn't aware of

Dear all, Now that the upcoming Debian release "buster" is frozen, I have started supplying backports for it. Pending mirror synchronisations, R 3.6.0 is now available for Debian buster on i386 and amd64 architectures. Please refer to https://cran.r-project.org/bin/linux/debian/ for details. At the moment I am not providing binaries for the arm architecture for buster, as the SD

Am Montag, 29. April 2019, 15:03:54 CEST schrieb Kurt Hornik: > >>>>> Johannes Ranke writes: > > Am Montag, 29. April 2019, 13:44:03 CEST schrieb Kurt Hornik: > >> >>>>> Johannes Ranke writes: > >> Thanks. You may have seen that with current gfortran in > >> testing/unstable, there are problems with the R BLAS/LAPACK API entries

I’ve installed R 3.1 with the latest Fedora rpm (R-3.1.0-5.el6.x86_64.rpm) and I run into some issues with openblas. I’ve documented this with an open question on stack overflow here: http://stackoverflow.com/questions/24158372/openblas-r-3-1-and-fedora-centos-dist Basically before 3.1 I had 3.02 and I was able to install and use openblas following the instruction from official CRAN

On Wed, 8 May 2019 at 04:52, Peter Langfelder <peter.langfelder at gmail.com> wrote: > > (CCing the R-devel list, maybe someone will have a better answer.) > > To be honest, I don't know how to. I wasn't able to configure R to use > OpenBLAS using the configure script and options on my Linux Fedora system. > I configure it without external BLAS, then replace the

Hello, I thought that I should try openblas when building a CRAN package containing lots of old (twentieth century) C-code with frequent calls to blas and lapack routines. I have the following options on my Ubuntu 20.04 machine: Selection Path Priority Status ------------------------------------------------------------ * 0

Multi-threaded Math Libraries (Trough OpenBlas), taking into account that today's laptops have a minimum of 2-4 cores, are an important topic, and in my opinion, shall be included in R for the general interest. I think that the way to go would be to create a configuration setting in R's options(OpenBlas= TRUE|FALSE) which enables or disables OpenBlas in an easy way, which by default shall

Hello, macosx 10.13.6, Rdevel r76458 I'm trying to compile against openblas to reproduce an error on the CRAN check page (my package is clean under winbuilder and all but one of the checks). I've downloaded and installed openblas 0.3.7 but I am not 100% sure that it is being used by R. Using ./configure --with-blas="-lopenblas" Then running R to discover the PID I get:

Dear list, What is the recommended incantation on Fedora 32 to swap out the openblas BLAS that the packaged (rpm) version of R-core installs for ATLAS? I'm running into some problems with some big models I want to fit using the mgcv package, and openblas is apparently not thread safe and is causing problems. I have the following installed: $ dnf list installed | grep ^R R-core.x86_64

On Wed, 27 May 2020 at 21:40, Gavin Simpson <ucfagls at gmail.com> wrote: > > Thanks I?aki, that is exactly what i was looking for, esp the last > option which I have now configured as an alias for easy remembering. > > I can answer the question re USE_LOCKING=1. I think that using both > those options is required to get thread-safety even if openblas was > compiled for

Hi everybody! Could somebody help me with the following? I'm trying to run a simple Hello World code in openmp using .C function. The C code i have is: #include <omp.h> #include <stdio.h> #include <R.h> void hello_omp(int *n) { int th_id, nthreads; omp_set_num_threads(*n); #pragma omp parallel private(th_id) { th_id = omp_get_thread_num();

It seems like many of the multi-threaded BLASes have some sort of fundamental problem preventing use in the way Juan suggests: - Dirk's vignette states that ATLAS "fixes the number of cores used at compile-time and cannot vary this setting at run-time", so any user-friendly implementation for R would have to compile ATLAS for 1-16 threads to allow the user to switch at run-time.