similar to: R error in make check

> 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: -

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 correct, I would appreciate some advices and hints. OS: Fedora 22 parallel_studio_xe_2016 Hardware : 8 Thread(s) per

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

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

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

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 > >

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 folks, I suspect this is a request for a sanity check than a bug report: I've been successfully compiling an optimised version of R for several years using the Intel compiler and MKL. I've just test-run the new Intel 15.0 compiler suite, and I'm seeing a few numeric failures that I don't see using the same build method with Intel 13.0. I've attached the output of

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 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

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) ^

Hi Team, I downloaded the R 3.0.2 and, built and installed it using Intel compilers (icc and ifort) from Intel parallel studio 2013, sp1. After performing make tried to check it using 'make check'. Most of the tests passed successfully but while checking a 'stats' package I saw many lines were printed which did not match the desired output. e.g. There

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

Full_Name: Reinhold Bader Version: 2.1.0 OS: SLES 9 Submission from: (NULL) (129.187.48.1) I tried to build R using the Intel compilers (icc, ifort) and the Math Kernel Libraries for BLAS/LAPACK Optimizations used were -O3, and the FPICFLAGS="-fpic" was exported. The build failed with the following error message: ... dumping R code in package 'methods' Saving namespace image

I would like to build R and packages with the Intel 10.1 compilers in RHEL4. Using the flags below, I can successfully build R using a vanilla ./configure, but when I install new packages they build with gcc. My sysadmin suggested adding the flags to ./configure as illustrated below, but then the R build blows up with the config tail output that follows far below. It looks like gcc is still being

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

Hi all, I need to transform classic 32bit Fortran code to 64bit Fortran code, see the discussion [R-SIG-Mac] rnorm.halton. But I'm clearly a beginner in Fortran... Does someone already do this for his package? From here, http://techpubs.sgi.com/library/tpl/cgi-bin/getdoc.cgi?coll=linux&db=bks&fname=/SGI_Developer/Porting_Guide/ch03.html , I identify the following changes

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