similar to: openblas

(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 libRblas.dylib (.so in my case) with a link to the OpenBLAS dynamic link library. Peter On Tue, May 7, 2019 at 7:39 PM

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

Hi, I tried to compile R with openblas on a ubuntu 12.04 machine. I have to say that I normally use the package system and that I have no experience with compiling R. I did the following: ./configure --enable-BLAS-shlib --enable-R-shlib LIBnn=lib --with-blas="-L/usr/lib/openblas-base/ -lopenblas" --enable-memory-profiling --with-x=yes go the output: R is now configured for

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.

Please pardon my ignorance, but doesn't OpenBLAS still not always play nicely with multi-threaded OpenMP? (for example, don't race conditions sometimes crop up)? If so, it might be nice to have the ability to temporarily disable multi-threaded OpenMP (effectively: omp_set_num_threads(1)) for the duration of operations using OpenBLAS. Regards Ben > Julia using OpenBLAS is *very*

Julia Programming Language uses also OpenBlas, and it is actively maintained with bugs being fixed as I have checked it out: http://www.openblas.net/Changelog.txt So I still see it ok to be included as an options(...) feature (by default off, just for safety), over other Blas libraries. R could not use Intel MKL for legal reasons (I think), because as long that R ships with GPL libraries,

I didn't do the compile; is there a way to check whether that was used? If not, I'll inquire with our sysadmin and report back. In any case, my suggestion was motivated by the fact that some parts of R use OpenMP while others do not, in the hope that the former could have their OpenBLAS omelet without breaking the OpenMP eggs, so to speak. On 01/09/2018 06:41 PM, Keith O'Hara

Thanks Keith. We checked, and indeed libopenblas is not linked against libomp nor libgomp. We suspect this is because we used conda to install R and OpenBLAS. So I guess we should be barking up the conda tree instead? By the way, I also noticed on my home machine (Ubuntu), /usr/lib/libopenblas.so.0 is also not linked against those, for what that's worth. Regards, Ben On 01/10/2018 12:04

Hi R-devel list, OpenBLAS is readily available for unix-likes: https://cloud.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf However, my questions are: 1) Would R-devel consider using OpenBLAS for the main distribution of R for all platforms including Windows? 2) If so, would R-devel set the default multi-thread level to the number of (real) cores on a machine? My sense is there're a

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

My interpretation of dput.Rd is that dput() gives an exact ASCII form of the internal representation of an R object. But: rhankin at cuttlefish:~ $ R --version R version 3.6.2 (2019-12-12) -- "Dark and Stormy Night" Copyright (C) 2019 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) [snip] rhankin at cuttlefish:~ $ R --vanilla --quiet > x <-

Dear List, I am trying to build R on Fedora against a threaded openblas installed from Fedora's yum repos, or alternatively swap out libRblas.so with a threaded openblas built locally. I have installed $ yum list installed | grep openblas openblas.x86_64 0.2.11-1.fc20 @updates openblas-devel.x86_64 0.2.11-1.fc20 @updates

I think Robin knows about FAQ 7.31/floating point (author of 'Brobdingnag', among other numerical packages). I agree that this is surprising (to me). To reframe this question: is there way to get an *exact* ASCII representation of a numeric value (i.e., guaranteeing the restored value is identical() to the original) ? .deparseOpts has ?"digits17"?: Real and finite complex

R 3.5.1 is installed under Linux Mint 19 from binaries r-base and r-base-dev from ubuntu bionic-cran35.? Mysteriously, packages using libRblas cannot be compiled.? I get: libRblas.so: cannot open shared object file: No such file or directory.? And indeed, I find no libRblas.so. Any ideas about how to fix this? Thanks, Steve

Thanks guys, I guess I should have referred to FAQ 7.31 (which I am indeed very familiar with) to avoid misunderstanding. I have always used dput() to clarify 7.31-type issues. The description in ?dput implies [to me at any rate] that there will be no floating-point roundoff in its output. I hadn't realised that 'deparsing' as discussed in dput.Rd includes precision roundoff issues.

I get the failure message. To be specific: adcomp.git>R CMD BATCH --quiet test_nlminb.R adcomp.git>cat test_nlminb.Rout > f <- function(x) sum( log(diff(x)^2+.01) + (x[1]-1)^2 ) > opt <- nlminb(rep(0, 10), f, lower=-1, upper=3) > xhat <- rep(1, 10) > abs( opt$objective - f(xhat) ) < 1e-4? ## Must be TRUE [1] FALSE My system is described by: adcomp.git>uname

On 08.05.19 09:34, I?aki Ucar wrote: > 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

On 02/03/2020 3:24 a.m., Martin Maechler wrote: >>>>>> robin hankin >>>>>> on Sun, 1 Mar 2020 09:26:24 +1300 writes: > > > Thanks guys, I guess I should have referred to FAQ 7.31 > > (which I am indeed very familiar with) to avoid > > misunderstanding. I have always used dput() to clarify > > 7.31-type

True or False: when USE_OPENMP=1 is not used, then race conditions are not unexpected. If True, and we wish to avoid race conditions, then sources such as the conda channel and ubuntu would need to add this enhancement. If False, then what is the next step (i.e. forum) for debugging the race condition? On 01/11/2018 07:56 AM, Ista Zahn wrote: > > > On Jan 10, 2018 8:24 PM,

Executive summary: I believe revision 86265 makes it more difficult to build R with OpenBLAS on Windows as now the entire LAPACK needs to be built to obtain zspmv. Is there anything that can be done to allow the former behavior to be used, something in Mkrules.local perhaps? Detailed Explanation: I have been building R with OpenBLAS for Windows 64 for over a decade by patching