similar to: MKL with latest Rs

Hi Tomas, That does the trick, thanks! In fact, I had those lines commented out in my Rmkl startup script but I can't remember why, since they're part of Intel's instructions. Strange that things still worked for somewhat older Rs. (Perhaps that's why I canceled them.) Dirk, if you're listening, it might help to add a note to your blog post. I guess it's not as simple

Dear Robert, try setting these MKL environment variables export MKL_INTERFACE_LAYER=GNU,LP64 export MKL_THREADING_LAYER=GNU the example should then report correct results (and regardless of the version of R). There is no need to rebuild R from source, but when you are building from source, this problem would be detected by checks in R configure scripts. I can reproduce the problem on Ubuntu

Hi all, I have the issue: icc -std=c99 -std=gnu11 -I../../src/extra -I../../src/extra/xdr -I. -I../../src/include -I../../src/include -I/usr/local/include -I../../src/nmath -DHAVE_CONFIG_H -fopenmp -fpic -g -O3 -wd188 -ip -mp -c eval.c -o eval.o arithmetic.c(66): warning #274: declaration is not visible outside of function int matherr(struct exception *exc) ^

Note that 'intel 2022' is a bit vague. The current version is 2023.1.0, and that has both the 'classic' (icc/icpc/ifort which it seems you used) and new (icx/ixpx/ifx) compilers -- the former are said to be going to be discontinued later this year. R did not know about ifx so did not build with the new set. The parts of the manual Tomas referred to were about the old

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 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

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

I am having trouble of compiling R 3.0.2 with MKL 11.1.0.080; tried the following resources: http://software.intel.com/en-us/articles/intel-mkl-link-line-advisor http://cran.r-project.org/doc/manuals/R-admin.html#MKL http://software.intel.com/en-us/comment/reply/328415 and getting the following: *checking for dgemm_ in -Wl,--start-group -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -Wl,--end-group

On 5/28/08, Jean-Marc Valin <jean-marc.valin at usherbrooke.ca> wrote: > > Yes, MKL is commercial software and you do need to pay for it, but > > unlike FFTW it's not GPL. FFTW is useless for any closed-source program > > that wishes to use Speex, so this is the non-GPL alternative. > > Considering that FFTW also sells licenses for non-GPL use, I tend to >

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 also faster than FFTW3 since MKL has native support for the complex packing Speex uses. Since Intel hasn't supplied any pkg-config files, and which

On Wed, Sep 9, 2015 at 11:26 PM, Nathan Kurz <nate at verse.com> wrote: > > As a short and simple approach, I just compiled the current R release > on Ubuntu with ICC and MKL using just this: > > $ tar -xzf R-3.2.2.tar.gz > $ cd R-3.2.2 > $ CC=icc CXX=icpc AR=xiar LD=xild CFLAGS="-g -O3 -xHost" CXXFLAGS="-g > -O3 -xHost" ./configure

Dear all, I would like to submit an issue that we are facing. Indeed, in our environment, we are optimizing the R code to speed up some mathematical calculations as matrix products using the INTEL libraries ( MKL) ( https://software.intel.com/en-us/mkl ) With the last version of the MKL libraries Intel 2018, we are facing to an issue with *all INTERNAL command* that are executing in R.