Is MKL open source software? If not, that could be the sticking point.
Simon.
On 02/09/14 07:24, lejeczek wrote:
could you tell us if the same/similar performance benefits we should
expect when gnu complier suite + MKL are teamed up?
and how to configure such a compilation?
many thanks
On 04/03/14 21:44, Anspach, Jonathan P wrote:
Greetings,
I'm a software engineer with Intel. Recently I've been investigating
R performance on Intel Xeon and Xeon Phi processors and RH Linux.
I've also compared the performance of R built with the Intel
compilers and Intel Math Kernel Library to a "default" build (no
config options) that uses the GNU compilers. To my dismay, I've
found that the GNU build always runs on a single CPU core, even
during matrix operations. The Intel build runs matrix operations on
multiple cores, so it is much faster on those operations. Running
the benchmark-2.5 on a 24 core Xeon system, the Intel build is 13x
faster than the GNU build (21 seconds vs 275 seconds).
Unfortunately, this advantage is not documented anywhere that I can see.
Building with the Intel tools is very easy. Assuming the tools are
installed in /opt/intel/composerxe, the process is simply (in bash
shell):
$ . /opt/intel/composerxe/bin/compilervars.sh intel64
$ ./configure --with-blas="-L/opt/intel/composerxe/mkl/lib/intel64
-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm"
--with-lapack CC=icc CFLAGS=-O2 CXX=icpc CXXFLAGS=-O2 F77=ifort
FFLAGS=-O2 FC=ifort FCFLAGS=-O2
$ make
$ make check
My questions are:
1) Do most system admins and/or R installers know about this
performance difference, and use the Intel tools to build R?
2) Can we add information on the advantage of building with the Intel
tools, and how to do it, to the installation instructions and FAQ?
I can post my data if anyone is interested.
Thanks,
Jonathan Anspach
Sr. Software Engineer
Intel Corp.
jonathan.p.ansp...@intel.com
713-751-9460
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--
Simon Blomberg, BSc (Hons), PhD, MAppStat, AStat.
Senior Lecturer and Consultant Statistician
School of Biological Sciences
The University of Queensland
St. Lucia Queensland 4072
Australia
T: +61 7 3365 2506
email: S.Blomberg1_at_uq.edu.au
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