search for: gotoblas

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 (...

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

...while it never get fully finished to the point of a submitted paper the vignette still stands---and demonstrates that _dropping in MKL is a one-line operation_. And always has been. There may have been some license arbitrage: Intel was an early investor in Revo, so MKL was pushed hard. With GotoBLAS and later OpenBLAS I cared less, but IIRC the license of MKL is a little simpler for "mere use" now. See https://cloud.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf for more. Hth, Dirk [[alternative HTML version deleted]]

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 (http://www.rochester.edu/college/gradstudents/jolmsted/files/computing/BLAS_Comparison.pdf), but I'm not sure it's the right thing for my CPUs.? The webpage fo...

...ch R process by using unix top command with show-all-threads option. However, it seems like my R doesn't use multi-threads but just run with single thread. Is there any other command that I can use to verify multi-threads use? Regarding the with-blas option, I have tried to use either atlas or gotoblas with the following configure option: --with-blas="-lptf77blas -lpthread -latlas" --with-blas="-lgotocblas -lgotoblas -lpthread" Not sure if my options are correct or not. Thank you for your and comment or advice in advance. Thanks, Jong

Hi I just read the thread on gotoBLAS, as well as the excellent vignette of gcbd. I still have some confusion and would like to ask very basic questions, hope I am not taking too much of your time. The point that retained my attention was the question of using implicit (multi-threaded blas) versus explicit (parallel code) optimisat...

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, outside of MPI, it took 1 full day when run inside MPI. Literally the same job. I learned later that GotoBLAS2 defaults to allow threads equal to the...

...onfigure CC=icc CFLAGS='-O3 -mp' CPPFLAGS=-I/opt/intel/cce/10.1.015/include/ F77=ifort CXX=icc CXXFLAGS='-O3 -mp' FFLAGS='-C90 -w90 -w95 -mp' CPICFLAGS=-shared CXXPICFLAGS=-shared FPICFLAGS=-shared SHLIB_LDFLAGS=-shared SHLIB_CXXLDFLAGS=-shared --with-blas="-L/usr/lib64/GotoBLAS -lgoto_penrynp-r1.26 -lpthread" I get six purported "bugs" in the config.log file (attached), but I hope there is something I've overlooked in the past week of agony. I have had similar log files with about 100 different combinations of options. I hope that you can help. Thank...

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 lib...

...and while it never get fully finished to the point of a submitted paper the vignette still stands---and demonstrates that _dropping in MKL is a one-line operation_. And always has been. There may have been some license arbitrage: Intel was an early investor in Revo, so MKL was pushed hard. With GotoBLAS and later OpenBLAS I cared less, but IIRC the license of MKL is a little simpler for "mere use" now. See https://cloud.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf for more. Hth, Dirk | | On Mon, Oct 30, 2017, 9:42 AM Juan Telleria <jtelleriar at gmail.com> wrote: | |...

...-with-blas="-lgoto2"" from October of last year <https://stat.ethz.ch/pipermail/r-devel/2012-October/065103.html> Unfortunately, that thread ended without an answer to his last question. Briefly, I am trying to compile an Rblas for Windows NT 32bit using OpenBlas (successor to GotoBlas) (Nehalem - corei7), and the compiled version passes all tests except for the "splines-Ex" test in the exact same place that Paul had issues: ~~~~ > stopifnot(identical(ns(x), ns(x, df = 1)), + identical(ns(x, df = 2), ns(x, df = 2, knots = NULL)), # not true till 2.15.2 +...

So I have two Dell power-edge machines running latest Ubuntu (13.04) with latest version of R (3.01). I installed revolution-mkl on one machine (T-410) and it works fine. On the second machine (T-620), it says the latest version of revolution-mkl is installed, but I'm getting no multi-processor functioning (R-benchmark-25.R) runs on a single processor and takes same amount of time

Well, CentOS 5.3, which amounts to the same thing. I recently decided to upgrade my main research machine from Fedora Core 8 -> CentOS 5.3. Basically, I was looking to move to a distro with longer 'term-of-life' than the release schedule for Fedora currently allows. The machine is a multi-Opteron box, so both 32- and 64-bit apps natively supported. Since I do a lot of 'linear

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:

Dear R-devel: The Cluster administrators at KU got enthusiastic about testing R-3.2.2 with Intel MKL when I asked for some BLAS integration. Below I forward a performance report, which is encouraging, and thought you would like to know the numbers. Appears to my untrained eye there are some extraordinary speedups on Cholesky decomposition, determinants, and matrix inversion. They had