similar to: Build R with MKL and ICC

On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: > On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > > After a few days of reading and headache, I finally gave a try at > > building R from source with Intel MKL and ICC. Documentation and posts > > on this topic are rather incomplete, sometime fantasist et do not give > >

On Sat, 2015-09-05 at 11:53 +0200, arnaud gaboury wrote: > On Fri, Sep 4, 2015 at 5:58 PM, Martyn Plummer <plummerm at iarc.fr> wrote: > > On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: > >> On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > >> > After a few days of reading and headache, I finally gave a try at

On Tue, Sep 29, 2015 at 8:11 PM, Nathan Kurz <nate at verse.com> wrote: > Hi Arnaud -- > > I'm glad it's working for you. I'm not sure I understand your final > answer. Are you saying that the version I posted worked for you as > given, or that you had to remove some of the other options? I say it works perfectly when using the single dynamic library (lmkl_rt):

On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: > After a few days of reading and headache, I finally gave a try at > building R from source with Intel MKL and ICC. Documentation and posts > on this topic are rather incomplete, sometime fantasist et do not give > much explanations about configure options. > As I am not sure if mine is

On Fri, Sep 4, 2015 at 5:58 PM, Martyn Plummer <plummerm at iarc.fr> wrote: > On Wed, 2015-09-02 at 20:49 +0200, arnaud gaboury wrote: >> On Wed, Sep 2, 2015 at 7:35 PM, arnaud gaboury <arnaud.gaboury at gmail.com> wrote: >> > After a few days of reading and headache, I finally gave a try at >> > building R from source with Intel MKL and ICC. Documentation

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 R-developers, 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, ./configure LDFLAGS=-L/genetics/data/software/lib CFLAGS=-fPIC -I/genetics/data/software/include --enable-R-shlib I have used, export MKL_NUM_THREADS=15 export

On our Scientific Linux 6, there is gcc --version gcc (GCC) 4.4.7 20120313 (Red Hat 4.4.7-17) and later version (a symbolic at HOME to the system directory), export MKL=/home/jhz22/11.3.3.210/mkl export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MKLROOT/lib/intel64 ./configure --prefix=/home/jhz22 LDFLAGS=-L/home/jhz22/lib CPPFLAGS=-I/home/jhz22/include \ --enable-R-shlib --with-lapack \

Hello, I experienced a compiler error when I tried to compile the latest version of R i.e. R4.0.2 making iosupport.d from iosupport.c making lapack.d from lapack.c making list.d from list.c making localecharset.d from localecharset.c grep.c(74): catastrophic error: cannot open source file "pcre2.h" # include<pcre2.h> (The pcre2.h header file is actually present!) I used the

Hi r-devel, a recent install of R-3.4.0 RC (2017-04-13 r72510)? on Linux (Ubuntu 16.04.1 LTS) x86_64-linux-gnu? with?g++ (Ubuntu 5.4.0-6ubuntu1~16.04.4) 5.4.0 20160609 (see?http://bioconductor.org/checkResults/devel/bioc-LATEST/malbec2-NodeInfo.html?for more)? results in CXXFLAGS not containing "-O2" as optimisation flag, there is only " -Wall", while?CFLAGS are happy with

Hi there, I initially asked about this on r-help and was told this might be a better venue. I?m not really convinced from reading the posting guide, but I?ll give it a shot. It was also suggested that the R-Project doesn?t really care about building with ?non-standard? compilers, but I can?t find any evidence of that on the website (indeed, there?s some mention of successful past builds, and the

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) ^

Hello, I compiled R-2.15.2 with linux intel compilers (see below). when I execute some R code on a // 4 proc x 4 cores // server (export MKL_NUM_THREADS = 16) very often I have the situations where only one processor (4 cores) is active instead of 4 (16 cores) ! do you know this fact depends on what ? thank you ! P.S. many functions of R are single-threaded, is there a simple way to make them

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 want to create a clean .rpm package for R built with MKL and ICC. I follow Fedora instrcutions[0] to create the package. As a base, I use the R-3.2.2.src.rpm. I am left with this error: ------------------------------------------ installing R info pages ... updating '/usr/share/info/dir' ... make[1]: Leaving directory '/home/poisonivy/rpmbuild/BUILD/R-3.2.2/doc/manual' + mv

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

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

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

On Fri, Sep 4, 2015, 9:24 AM Bj?rn-Helge Mevik <b.h.mevik at usit.uio.no> wrote: arnaud gaboury <arnaud.gaboury at gmail.com> writes: > After a few days of reading and headache, I finally gave a try at > building R from source with Intel MKL and ICC. Documentation and posts > on this topic are rather incomplete, sometime fantasist et do not give > much explanations about