similar to: Special BLAS and explcit parallel code

I think the thing that is missing is a simple way for end users on windows to replace blas/lapack libraries with MKL-a package that you install that puts the libraries in the right place. Microsoft provides something for their distro, but we don't have the equivalent if you get R from cran. On 29 October 2017 at 22:01, Kenny Bell wrote: | User here: incorporating Intel's MKL, as MRO

On 14 March 2012 at 23:09, Simon Urbanek wrote: | I thought I'll post this here since I could not find an answer anywhere I searched: how to setup R with threaded BLAS on Debian/Ubuntu. | | First, neither Debian nor Ubuntu come with optimized ATLAS binaries, simply because by definition they need to be optimized for a particular machine. The good news: it is easy to build: | | apt-get source

On 29 October 2017 at 22:01, Kenny Bell wrote: | User here: incorporating Intel's MKL, as MRO does, would be a very welcome | addition. | | I was an MRO user before and it improved my experience with medium data | immensely. | | They did, however, leave behind bugs here and there, especially related to | development with Rcpp, so I switched back to vanilla R. With all due respect: You may

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

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

I'm setting up an Ubuntu?virtual machine?that will use 4-Intel Xeon CPU x5650.? I'd like to compile R with a BLAS but the question is whcih one.? Seems like the only free ones are GotoBLAS which I'm not sure is being maintained for newer CPUs and OpenBLAS for Loongson CPUs.? I saw a favorable report on OpenBLAS

Hi, Since upgrading to version 2.11.0~20100402-1, starting R fails with: /usr/lib64/R/bin/exec/R: error while loading shared libraries: libblas.so.3gf: cannot open shared object file: No such file or directory Is this occurring to others on sid? -- Seb

I feel like Marlon Brando in "On the Waterfront" where he's told "It's not your night, kid", except for me it has been the last two months trying to debug memory problems. Now I can't even install an old version of this package on a netbook running the Ubuntu 10.10 netbook remix because it can't find the libraries libf77blas and libatlas. I have even gone to

dear debian-R group: I am using the stock ubuntu binary R 3.0.1 for ubuntu raring but on cinnamon mint olivia 15. I read dirk's gcbd paper from a couple of years ago. it suggests that stock blas is pretty bad compared to the four main alternatives. of course, dirk also maintains the binaries for debian/ubuntu R, so he probably knows the answer off hand. I installed libatlas3-base

Hi, I installed F14 on release, but was diquieted to note that my symlinked GotoBLAS (http://cran.r-project.org/doc/manuals/R-admin.html#Shared-BLAS, foot of paragraph) prevented R (compiled from source, no special configure options) from loading - everything had been fine on F < 14. It seems that: cat /selinux/booleans/allow_execstack is 1 1 on my RHEL systems, but became (?) 0 0 in F14.

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,

I just dumped Vista off a laptop and installed Ubuntu 10.10 (latest release) as the single operating system. I did all of the updates and then installed emacs and ess. Next I installed R by following the the usual instructions on the CRAN site. At this point all is working I am now in the process of installing the packages that I normally have installed. I am having a problem with the LAPACK

I am not sure if this is an R development problem or not. I am starting with completely clean OS and and installing the latest version of R without trying to anything special but I am having trouble with the LAPACK library linking when I try to build packages that require them. I thought perhaps my problem may be if interest here. I just dumped Vista off a laptop formatted the disk and

Hi all, I've compiled R (version 2.8.1) from the source code with "--with- blas=" option in order to use external multi-threaded blas package. However, it's very hard to verify that compilation is correct and R is using multi-threads correctly or not. Which command or operation in R will run with multi-threads? I assumed that matrix multiplication %*% may call multi-threaded

I run Fedora 22 R package. It is build with --with-lapack \ --with-blas \ --enable-R-shlib \. As the machine will act as a server with lots of R data computing, I try to optimize my R package. At first, I installed parallel_studio_xe_2016 with a free one year licence. Then, I build a package for R with Intel MKL and compiler. This took me lots of time as it was my first .rmp build. I finally

Hello r-bugs, I am running openSuse 11.0, with my new Intel 8500 (Penryn) C2D, and I want to use icc and ifort. I was able to get a working Goto BLAS, following Dr. Goto's instructions. That seems to work OK with gcc and gfortran. I get about 10% faster computations by using -O3 rather than -O2. I get faster results with Goto BLAS rather than the R BLAS. Now I want to make icc and ifort

On 15 March 2012 14:09, Simon Urbanek <simon.urbanek@r-project.org> wrote: > I thought I'll post this here since I could not find an answer anywhere I > searched: how to setup R with threaded BLAS on Debian/Ubuntu. > > First, neither Debian nor Ubuntu come with optimized ATLAS binaries, > simply because by definition they need to be optimized for a particular >

Dear R Developers, First of all, I would like to thank you Jeroen Ooms for taking the binary Window Builds from Duncan. I firmly believe that the R Community will benefit a lot from his work. However, the debate I would like to open is about if some of Microsoft R Open Code shall be ported from R Open to Mainstream R. There are some beneficts in R Open such as multithreaded performance:

Kenny, On 17 December 2017 at 09:28, Kenny Bell wrote: | Hi R-devel list, | | OpenBLAS is readily available for unix-likes: | | https://cloud.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf Please consider re-reading this vignette of mine. BLAS is an interface, OpenBLAS is but one implementation. R has allowed you to switch between different implementations for a long time (if you used a

On Sun, Dec 17, 2017 at 10:01 AM, Dirk Eddelbuettel <edd at debian.org> wrote: > > Kenny, > > On 17 December 2017 at 09:28, Kenny Bell wrote: > | Hi R-devel list, > | > | OpenBLAS is readily available for unix-likes: > | > | https://cloud.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf > > Please consider re-reading this vignette of mine. BLAS is an