I think the thing that is missing is a simple way for end users on windows to
replace blas/lapack libraries with MKL-a package that you install that puts the
libraries in the right place.
Microsoft provides something for their distro, but we don't have the equivalent
if you get R from cran.
O
? This helps -- would you be able to do with --enable-R-shlib? I also got
complaints with it.
It works when I do this:
./configure --with-x=no --with-blas=-lmkl --enable-R-shlib
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R-devel@r-project.org
> 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:
#
h
2017 12:00 PM
To: Cohn, Robert S
Cc: r-devel@r-project.org
Subject: Re: [Rd] accelerating matrix multiply
Hi Robert,
thanks for the report and your suggestions how to make the NaN checks faster.
Based on my experiments it seems that the "break" in the loop actually can have
pos
---Original Message-
From: Martin Maechler [mailto:maech...@stat.math.ethz.ch]
Sent: Tuesday, January 10, 2017 8:59 AM
To: Cohn, Robert S
Cc: r-devel@r-project.org
Subject: Re: [Rd] accelerating matrix multiply
>>>>> Cohn, Robert S
>>>>> on Sat, 7 Jan 2017 16:
I am using R to multiply some large (30k x 30k double) matrices on a 64 core
machine (xeon phi). I added some timers to src/main/array.c to see where the
time is going. All of the time is being spent in the matprod function, most of
that time is spent in dgemm. 15 seconds is in matprod in some
