similar to: Compiling R-2.11.1 patched on Ubuntu 10.04 with Optimized GotoBLAS2 libraries

Hi, I'm relatively new to R on Ubuntu (moving from Windows), and I'm trying to get GotoBLAS2 working. I installed (from a CRAN mirror) the pre-built binaries of R (which, as far as I know, is compiled as a shared library) on Ubuntu 10.10 using apt-get install r-base r-base-dev I successfully built GotoBLAS2 from source, copied the library to /usr/lib and created s symbolic link from

Hi, everybody. I notice debian packages for Ubuntu on CRAN are missing "libRblas.so" and I'm trying to find out why. Why do I care? We are working in an hpc project in a CentOS Linux cluster. That led me to the question of "which BLAS is fastest?" Dirk E referred me this morning to the R admin manual. The standard R compilation creates a shared blas library libRblas.so

Dirk Eddelbuettel <edd <at> debian.org> writes: > One last follow-up. Debian's Atlas maintainer has started to work in the > OpenGoto packaging. There will be proper Goto packages now that the license > is better, but it may take a while. It took years to get Atlas packaged > 'right' so don;t expect anything too soon. The gotoblas2-helper package is >

Hi all, I have a problem with cpu affinity in my R-2.11.1 installation compiled against ATLAS running on a Linux (Ubuntu 10.04) cluster under GridEngine. I wish to use Grid Engine's core binding feature to bind user processes into the number of cores they request on the cluster, thus preventing badly behaved multi-threaded libraries from consuming more cores than requested. An example of

My IT people have set up R on a a Kubuntu box with an RWkard front end.? I have OpenBLAS set up as a shared BLAS but I'm not sure how to get R to see it.? A.3.1 of the installation docs talks about it but I'm not clear if I need a option on my startup line or if I need to find a config file.? The BLAS is is in: ? /usr/lib/openblas-base ? on my machine. I'm not sure how to confirm that

Greetings, I last built R-2.11.1 a few months ago. The computer was equipped with these:- ---cpu amd64 2 cores ---o/s cblfs 64-bit only linux kernel-2.6.32 gcc-4.4.2 jdk(1.5)-6U20? ---bls atlas3.9.26 lapacck-3.2.1 I obtained an installed directory of ~58Mbytes and in the ~/lib directory was libR.so (~7.8Mbytes in size) as well as libRblas.so and libRlapack.so (~2.9Mbytes). I have

Hello, This simple SVD calculation (commands are copied immediately below) crashes on my Ubuntu machine (R 2.13.0). However it worked fine with R.12 and Ubuntu 10.04, and it also works fine on my Windows 7 machine with R 2.13, so I suspect there's a problem with (my?) Ubuntu and / or R. I'm using the R distribution that is accessible with Ubuntu's repositories manager, I am not

Hi, I put below Rblas.dll(GotoBLAS2 for Win64). http://prs.ism.ac.jp/~nakama/SurviveGotoBLAS2/binary/windows/x64/Rblas.dll It's a tryal phase. -- EI-JI Nakama? <nakama (a) ki.rim.or.jp> "\u4e2d\u9593\u6804\u6cbb"? <nakama (a) ki.rim.or.jp>

Hi, I saw on the mailing list and in the NEWS file that some unsafe math transformations were disabled for the reference BLAS implementation that is used in R. We have a set of performance tests for the OpenMx library, and some of the tests have a x3-10 slowdown in R 2.12.0 versus 2.11.1. When I copy the shared library libRblas.0.dylib from the 2.11.1 installation into the 2.12.0 installation,

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

Dear R developers, I just compiled the latest version of R (2.12.1) and noticed that 'libRblas.so' is missing in the '/x86_64/src/extra/blas' subdirectory of my R-installation. Did I miss ongoing discussions on the Mailinglist about this or might it be a local problem? Thanks for this brilliant software. Best Christian -- Christian Kohler Institute of Functional Genomics ~

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:

So, tried again from scratch. Again, CentOS 5.3, which is essentially RHEL 5.3. ./configure --with-blas="-L/opt/acml4.3.0/gfortran64/lib -lacml" In config.log, get things like configure:37199: checking for dgemm_ in -L/opt/acml4.3.0/gfortran64/lib -lacml configure:37230: gcc -std=gnu99 -o conftest -g -O2 -I/usr/local/include -L/usr/local/lib64 conftest.c

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

Dirk suggested I move this thread over here. I am trying to get a multithreaded (multi CPU) version of ATLAS working with R, and have been unable, thus far, to get it working. Has anyone gotten an multithreaded version of ATLAS working on Debian (64 bit)? I've tried this: apt-get source atlas -t unstable cd atlas-3.8.3 DEFAULTS=n fakeroot debian/rules custom but it is APPEARING to only

I just upgraded to R 2.7.2 (from 2.7.1) this morning (Ubuntu amd64 platform). Shortly afterwards, I ran into a problem loading the odesolve library, it could not find libRblas.so. I was able to fix this by rebuilding odesolve. Now, KernSmooth gives me the same problem... R> library(KernSmooth) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library

Thanks Dirk.? That is what I thought, and sessionInfo() returns: Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/atlas/libblas.so.3.10.3 LAPACK: /usr/lib/x86_64-linux-gnu/atlas/liblapack.so.3.10.3 locale: ?[1] LC_CTYPE=en_US.UTF-8?????? LC_NUMERIC=C ?[3] LC_TIME=en_US.UTF-8??????? LC_COLLATE=en_US.UTF-8 ?[5] LC_MONETARY=en_US.UTF-8??? LC_MESSAGES=en_US.UTF-8 ?[7]

Hi, with small matrices eigen works as expected: > eigen(cbind(c(1,4),c(4,7)), only.values = TRUE) $values [1] 9 -1 $vectors NULL > eigen(cbind(c(1,4),c(4,7))) $values [1] 9 -1 $vectors [,1] [,2] [1,] 0.4472136 -0.8944272 [2,] 0.8944272 0.4472136 > eigen(cbind(c(1,-1),c(1,-1))) $values [1] -3.25177e-17+1.570092e-16i -3.25177e-17-1.570092e-16i $vectors

Can one of you give me an R program that displays the benefits an accelerated BLAS in R? Here's why I ask, in case you wonder: In a linux cluster, I've hit some bumps in the road. The worst one by far was that I installed R, then GotoBLAS2 with default settings, and after that, jobs using Rmpi were *really* *really* slow. I mean horrible. If a job took 15 minutes when run by itself,

This is R 2.10.1, from Fedora 12 and RODBC 1.3-1 (although 1.3-0 has the same problem) on i686. Originally reported here: https://bugzilla.redhat.com/show_bug.cgi?id=557953 Reproducer and output below: [spot at f12.i386 src]$ R R version 2.10.1 (2009-12-14) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO