Displaying 20 results from an estimated 700 matches similar to: "Optimizing compilation of R"
2012 Dec 28
1
linux multi-threaded compilation is running only on one processor
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
2009 Mar 16
6
R with MKL
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
2009 Mar 16
6
R with MKL
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
2011 Nov 03
4
How to used MKL (not revolution-mkl) with Debian packages
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
2008 Jan 25
4
Problem building R with Intel MKL v10 BLAS
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
2008 May 27
5
MKL Patch
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
2015 Aug 24
3
Build optimized R : openblas, MKL, ATLAS
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
2017 Apr 21
1
Intel MKL compiling issue
> 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#
2019 Jul 17
2
MKL with latest Rs
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
2017 Apr 20
2
Intel MKL compiling issue
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
2015 Aug 22
2
Build optimized R : openblas, MKL, ATLAS
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:
-
2012 Feb 10
1
Out of date instructions to build R using MKL
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
2015 Sep 29
2
Build R with MKL and ICC
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
2008 Apr 18
1
configure can't find dgemm in MKL10
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 $MKL is defined as in R-admin
2017 Apr 20
1
Intel MKL compiling issue
On our Scientific Linux 6, there is
gcc --version
gcc (GCC) 4.4.7 20120313 (Red Hat 4.4.7-17)
and later version (a symbolic at HOME to the system directory),
export MKL=/home/jhz22/11.3.3.210/mkl
export LD_LIBRARY_PATH=$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 \
2008 Nov 04
2
Building with MKL on Ubuntu
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
2008 Nov 04
2
Building with MKL on Ubuntu
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
2015 Sep 02
4
Build R with MKL and ICC
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
2017 Oct 30
3
Debate: Shall some of Microsoft R Open Code be ported to mainstream R?
[Sent offlist accidentally]
What concerns me first and foremost is that the licensure would have
to be ironclad (including for commercial use like vanilla R now) as
well as ensuring that R remains completely FLOSS. Anything ?added? to
R has to be a no-strings-attached gift to R.
Also, I would think that it would have to play nice with existing
workflows (like OpenBLAS instead of MKL) unless
2018 Jan 08
2
Fwd: R/MKL Intel 2018 Compatibility
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.