Re: [R] Building R for better performance

2014-09-15 Thread Anspach, Jonathan P
ct: Re: [R] Building R for better performance You'll find R-benchmark-25.R, which I assume is the same and the proper pointer to use, at http://<http://r.research.att.com/benchmarks/>r.research.att.com<http://r.research.att.com/benchmarks/>/benchmarks/<http://r.research.att.co

Re: [R] Building R for better performance

2014-09-11 Thread Anspach, Jonathan P
Yes, that's the original. Then TACC increased the matrix sizes for their tests. Jonathan Anspach Intel Corp. Sent from my mobile phone. On Sep 11, 2014, at 9:18 AM, "Henrik Bengtsson" mailto:h...@biostat.ucsf.edu>> wrote: You'll find R-benchmark-25.R, which I assume is the same and the proper

Re: [R] Building R for better performance

2014-09-11 Thread Henrik Bengtsson
You'll find R-benchmark-25.R, which I assume is the same and the proper pointer to use, at http:// r.research.att.com /benchmarks/ Henrik I'm out of the office today, but will res

Re: [R] Building R for better performance

2014-09-11 Thread Anspach, Jonathan P
I'm out of the office today, but will resend it tomorrow. Jonathan Anspach Intel Corp. Sent from my mobile phone. On Sep 11, 2014, at 3:49 AM, "arnaud gaboury" wrote: >>> I got the benchmark script, which I've attached, from Texas Advanced >>> Computing Center. Here are my results (elapsed ti

Re: [R] Building R for better performance

2014-09-11 Thread arnaud gaboury
>> I got the benchmark script, which I've attached, from Texas Advanced >> Computing Center. Here are my results (elapsed times, in secs): Where can we get the benchmark script? __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinf

Re: [R] Building R for better performance

2014-09-10 Thread lejeczek
21.01 Regards, Jonathan Anspach Sr. Software Engineer Intel Corp. jonathan.p.ansp...@intel.com 713-751-9460 -Original Message- From: Simon Zehnder [mailto:szehn...@uni-bonn.de] Sent: Wednesday, March 05, 2014 3:55 AM To: Anspach, Jonathan P Cc: r-help@r-project.org Subject: R

Re: [R] Building R for better performance

2014-09-02 Thread arnaud gaboury
> The best that I can see for R would be if someone were to post a "how > to use MKL for compiling R" type document. I build R with MKL and ICC on my Archlinux box[1][2]. If I can help in anything, I will do it. [1]https://wiki.archlinux.org/index.php/R [2]https://aur.archlinux.org/packages/r-mk

Re: [R] Building R for better performance

2014-09-02 Thread John McKown
On Mon, Sep 1, 2014 at 10:00 PM, Simon Blomberg wrote: > Is MKL open source software? If not, that could be the sticking point. > > Simon. IANAL, but from reading here: https://software.intel.com/en-us/en-us/intel-mkl It is neither Libre nor Gratis. But it is royalty free. IOW, you cannot give th

Re: [R] Building R for better performance

2014-09-01 Thread Simon Blomberg
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/

Re: [R] Building R for better performance

2014-09-01 Thread lejeczek
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 investi

Re: [R] Building R for better performance

2014-09-01 Thread Ross Boylan
On Mon, Sep 01, 2014 at 12:25:01PM +0100, 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 > Jonathan, thanks for these very interesting results. I

Re: [R] Building R for better performance

2014-09-01 Thread lejeczek
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 invest

Re: [R] Building R for better performance

2014-03-10 Thread Anspach, Jonathan P
- From: ce [mailto:zadi...@excite.com] Sent: Wednesday, March 05, 2014 8:54 PM To: r-help@r-project.org; Anspach, Jonathan P Subject: Re: [R] Building R for better performance Hi Jonathan, I think most people would be interested in such a tool, because main complaint of R is its slownes

Re: [R] Building R for better performance

2014-03-06 Thread Simon Zehnder
274.93 >21.01 > > Regards, > Jonathan Anspach > Sr. Software Engineer > Intel Corp. > jonathan.p.ansp...@intel.com > 713-751-9460 > > > -Original Message- > From: Simon Zehnder [

Re: [R] Building R for better performance

2014-03-05 Thread ce
AM To: "r-help@r-project.org" Subject: [R] Building R for better performance 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

Re: [R] Building R for better performance

2014-03-05 Thread Anspach, Jonathan P
ent: Wednesday, March 05, 2014 3:55 AM To: Anspach, Jonathan P Cc: r-help@r-project.org Subject: Re: [R] Building R for better performance Jonathan, I myself tried something like this - comparing gcc, clang and intel on a Mac. From my experiences in HPC on the university clust

Re: [R] Building R for better performance

2014-03-05 Thread Simon Zehnder
Jonathan, I myself tried something like this - comparing gcc, clang and intel on a Mac. From my experiences in HPC on the university cluster (where we also use the Xeon Phi, Landeshochleistungscluster University RWTH Aachen), the Intel compiler has better code optimization in regard to vectoris

[R] Building R for better performance

2014-03-04 Thread Anspach, Jonathan P
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