Re: [R] Building R for better performance

2014-09-15 Thread Anspach, Jonathan P
. jonathan.p.ansp...@intel.commailto:jonathan.p.ansp...@intel.com 713-751-9460 From: henrik.bengts...@gmail.com [mailto:henrik.bengts...@gmail.com] On Behalf Of Henrik Bengtsson Sent: Thursday, September 11, 2014 9:18 AM To: Anspach, Jonathan P Cc: arnaud gaboury; r-help@r-project.org Subject: Re

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 arnaud.gabo...@gmail.com wrote: I got the benchmark script, which I've attached, from Texas Advanced Computing Center. Here are my

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 h...@biostat.ucsf.edumailto:h...@biostat.ucsf.edu wrote: You'll find R-benchmark-25.R, which I assume is the

Re: [R] Building R for better performance

2014-03-10 Thread Anspach, Jonathan P
: 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 slowness for some

Re: [R] Building R for better performance

2014-03-05 Thread Anspach, Jonathan P
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 cluster (where we also use the Xeon Phi

[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