similar to: Fwd: R/MKL Intel 2018 Compatibility

Hi Guillaume, In principle, mycrossprod function does not need to PROTECT "ans", because it does not call any allocating function after allocating "ans" ("dgemm" in particular should not allocate from the R heap). So it is surprising that PROTECTion makes a difference in your case. I agree there is no harm protecting defensively. R itself calls dgemm with the R

Hi, I'm trying to follow the R-admin instructions for using MKL10 as the external BLAS compiling R-2.6.2 under Linux on a RH EL head node of a cluster. The configure process seems to have problems when it checks for dgemm in the BLAS. I'm using configure as: ./configure CC=icc F77=ifort --with-lapack="$MKL" --with-blas="$MKL" where $MKL is defined as in R-admin

NO Hi. I'm not sure if this is an R-help or R-devel problem, so I'm starting here in the hope that someone can help (and willing to go to the other list if it's more appropriate). I think I am following all of the instructions in the various manuals, but clearly I am missing something. I have an Intel EM64T Dell with 2 dual-core Xeon processors running Red Hat EL5. I would

> Do you have R code (including set.seed(.) if relevant) to show on how to generate > the large square matrices you've mentioned in the beginning? So we get to some > reproducible benchmarks? Hi Martin, Here is the program I used. I only generate 2 random numbers and reuse them to make the benchmark run faster. Let me know if there is something I can do to help--alternate

It appears that the revoluton-mkl package, available via the multiverse Ubuntu repository with the purpose of adding multi-threaded numeric libraries to R, is not function correctly with R 2.13 (at least the version found on CRAN). Testing with "R-benchmark-25.R" (found at http://r.research.att.com/benchmarks/), I get the following error, after installing the revolution-mkl package

Hi all, I managed to at least compile R-patched (2002-01-08) against MKL 5.1 (not beta). The release notes for MKL said that the libraries are threaded, and the test codes needed to be linked against the pthread library. Therefore I added -lpthread flag in config.site for R-patched, and the compile went through. However, when I did make check, it choked on a call to La.eigen, complaining that

Hi Tomas, Can you share the full code for your benchmark, compiler options, and performance results so that I can try to reproduce them? There are a lot of variables that can affect the results. Private email is fine if it is too much for the mailing list. I am measuring on Knight's Landing (KNL) that was released in November. KNL is not a co-processor so no offload is necessary. R executes

Hi folks, if you want to use MKL (the fast BLAS I have tested on my Thinkpad T410) with the R 2.14.0 built as Debian/Ubuntu packages available on CRAN mirror, the following tricks may works for without some known side-effects (likes openmp breaking issues), you may try to build your own libblas.so.3gf.0 with following command: $ gfortran -L/opt/intel/lib/intel64 -liomp5

I am using R to multiply some large (30k x 30k double) matrices on a 64 core machine (xeon phi). I added some timers to src/main/array.c to see where the time is going. All of the time is being spent in the matprod function, most of that time is spent in dgemm. 15 seconds is in matprod in some code that is checking if there are NaNs. > system.time (C <- B %*% A) nancheck: wall time

> I would appreciate any insights over compiling R 3.4 with Intel MKL -- I have been successful until R 3.3.3 but now it stops complaining about pcre though it worked without Intel MKL as follows, I successfully built R-rc_2017-04-19_r72555.tar.gz with icc & MKL on centos 7 with this: # https://software.intel.com/en-us/articles/build-r-301-with-intel-c-compiler-and-intel-mkl-on-linux#

I want to build R optimized, with either MKL, OpenBLAS or ATLAS. My OS: Fedora 22 Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name: Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz I am a little confused when it comes to choose a method and would like to hear your experiences. If I am right, I have 3 possibilities: -

On Mon, Aug 24, 2015 at 11:29 AM, Bj?rn-Helge Mevik <b.h.mevik at usit.uio.no> wrote: > arnaud gaboury <arnaud.gaboury at gmail.com> writes: > >> - Intel MKL: this is part of Intel Parallel Studio and is a paid >> software. Now, there is the MKL package distributed by >> Revolutionanalytics, but I am not certain how this can be distributed >> for free. Is

Alexander Chemeris wrote: > Hi, > > On 5/27/08, Thorvald Natvig <thorvald at natvig.com> wrote: > >> And here's a patch for Intel Math Kernel Library. This allows commercial >> users of Speex to use a high-speed FFT library that isn't GPL'd. (You do >> need to pay for it though). This is 3 times faster than the default FFT in >> speex, and

Dear R-devel team, I've encountered problems with recent Rs (>= 3.5.3) and MKL. I've followed Dirk's (http://dirk.eddelbuettel.com/blog/2018/04/15/) and Intel's ( https://software.intel.com/en-us/articles/quick-linking-intel-mkl-blas-lapack-to-r) instructions and many versions of MKL. All works fine in my Ubuntu 18 setup for R 3.5.2 and older. Carrying out the install and

Hi! I've been playing with MKL for a few days and I noticed the instructions in the R Installation Administration manual [1] no longer apply. It seems that since version 10.0 (the one used by the manual), libmkl_lapack.so has been renamed/split (although the official explanations seem to imply this was already the case in 10.0 [2]). As a consequence, the instructions for dynamic linking no

Hi, I have seen a lot of problems from people trying to compile R with MKL. So I am writing my experience in case it helps and to ask one question. I installed R-2.8.1.patched in Ubuntu 9.04 (gcc 4.3.3) using MKL 10.1.1.019. I configured correctly (following MKL userguide) with : sudo ./configure --with-blas="-I/opt/intel/mkl/10.1.1.019/include -L/opt/intel/mkl/10.1.1.019/lib/em64t

Hi, I have seen a lot of problems from people trying to compile R with MKL. So I am writing my experience in case it helps and to ask one question. I installed R-2.8.1.patched in Ubuntu 9.04 (gcc 4.3.3) using MKL 10.1.1.019. I configured correctly (following MKL userguide) with : sudo ./configure --with-blas="-I/opt/intel/mkl/10.1.1.019/include -L/opt/intel/mkl/10.1.1.019/lib/em64t

Hi all, I'm trying to build R from subversion with MKL 10.0.2 on Ubuntu. I tried: ./configure --with-blas='-L/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lguide' --with-lapack='/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lmkl_lapack' --enable-R-shlib and got: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /usr/local

Hi all, I'm trying to build R from subversion with MKL 10.0.2 on Ubuntu. I tried: ./configure --with-blas='-L/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lguide' --with-lapack='/opt/intel/mkl/10.0.2.018/lib/em64t -lmkl -lmkl_lapack' --enable-R-shlib and got: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /usr/local

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