.
jonathan.p.ansp...@intel.com<mailto: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
Subje
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
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
-
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
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
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
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