Displaying 20 results from an estimated 2000 matches similar to: "Debate: Shall some of Microsoft R Open Code be ported to mainstream R?"
2017 Oct 30
1
Debate: Shall some of Microsoft R Open Code be ported to mainstream R?
On 29 October 2017 at 22:01, Kenny Bell wrote:
| User here: incorporating Intel's MKL, as MRO does, would be a very welcome
| addition.
|
| I was an MRO user before and it improved my experience with medium data
| immensely.
|
| They did, however, leave behind bugs here and there, especially related to
| development with Rcpp, so I switched back to vanilla R.
With all due respect: You may
2017 Oct 29
3
Debate: Shall some of Microsoft R Open Code be ported to mainstream R?
Dear R Developers,
First of all, I would like to thank you Jeroen Ooms for taking the binary
Window Builds from Duncan. I firmly believe that the R Community will
benefit a lot from his work.
However, the debate I would like to open is about if some of Microsoft R
Open Code shall be ported from R Open to Mainstream R.
There are some beneficts in R Open such as multithreaded performance:
2017 Oct 30
3
Debate: Shall some of Microsoft R Open Code be ported to mainstream R?
[Sent offlist accidentally]
What concerns me first and foremost is that the licensure would have
to be ironclad (including for commercial use like vanilla R now) as
well as ensuring that R remains completely FLOSS. Anything ?added? to
R has to be a no-strings-attached gift to R.
Also, I would think that it would have to play nice with existing
workflows (like OpenBLAS instead of MKL) unless
2017 Oct 31
0
Debate: Shall some of Microsoft R Open Code be ported to mainstream R?
So as long as I can read, OpenBlas, for Windows, might be a worth
considering option:
http://www.openblas.net
But Intel MKL also seems to be free*:
https://software.intel.com/en-us/articles/free-mkl
Thank you,
Juan
El 30/10/2017 6:45 p. m., "Avraham Adler" <avraham.adler at gmail.com>
escribi?:
> [Sent offlist accidentally]
>
> What concerns me first and foremost is
2017 Dec 17
2
OpenBLAS in everyday R?
It seems like many of the multi-threaded BLASes have some sort of
fundamental problem preventing use in the way Juan suggests:
- Dirk's vignette states that ATLAS "fixes the number of cores used at
compile-time and cannot vary this setting at run-time", so any
user-friendly implementation for R would have to compile ATLAS for 1-16
threads to allow the user to switch at run-time.
2017 Dec 16
4
OpenBLAS in everyday R?
Hi R-devel list,
OpenBLAS is readily available for unix-likes:
https://cloud.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf
However, my questions are:
1) Would R-devel consider using OpenBLAS for the main distribution of R for
all platforms including Windows?
2) If so, would R-devel set the default multi-thread level to the number of
(real) cores on a machine?
My sense is there're a
2017 Oct 29
0
Debate: Shall some of Microsoft R Open Code be ported to mainstream R?
User here: incorporating Intel's MKL, as MRO does, would be a very welcome
addition.
I was an MRO user before and it improved my experience with medium data
immensely.
They did, however, leave behind bugs here and there, especially related to
development with Rcpp, so I switched back to vanilla R.
On Mon, Oct 30, 2017, 9:42 AM Juan Telleria <jtelleriar at gmail.com> wrote:
> Dear
2015 Aug 24
1
Build optimized R : openblas, MKL, ATLAS
On Mon, Aug 24, 2015 at 1:42 PM, Dirk Eddelbuettel <edd at debian.org> wrote:
>
> On 24 August 2015 at 11:43, arnaud gaboury wrote:
> | On Mon, Aug 24, 2015 at 11:29 AM, Bj?rn-Helge Mevik
> | <b.h.mevik at usit.uio.no> wrote:
> | > arnaud gaboury <arnaud.gaboury at gmail.com> writes:
> | >
> | >> - Intel MKL: this is part of Intel Parallel Studio
2015 Aug 24
3
Build optimized R : openblas, MKL, ATLAS
On Mon, Aug 24, 2015 at 11:29 AM, Bj?rn-Helge Mevik
<b.h.mevik at usit.uio.no> wrote:
> arnaud gaboury <arnaud.gaboury at gmail.com> writes:
>
>> - Intel MKL: this is part of Intel Parallel Studio and is a paid
>> software. Now, there is the MKL package distributed by
>> Revolutionanalytics, but I am not certain how this can be distributed
>> for free. Is
2011 Mar 15
1
Special BLAS and explcit parallel code
Hi
I just read the thread on gotoBLAS, as well as the excellent vignette of
gcbd. I still have some confusion and would like to ask very basic
questions, hope I am not taking too much of your time.
The point that retained my attention was the question of using implicit
(multi-threaded blas) versus explicit (parallel code) optimisation. As I
understood, the ideal would be to use a
2019 Feb 06
2
nlminb with constraints failing on some platforms
> On 6 Feb 2019, at 10:58, Martin Maechler <maechler at stat.math.ethz.ch> wrote:
>
.....
> ---------------------------------------------------------------------------
>
> I summarize what has been reported till:
>
> Failure in these cases
> ========
> 1. Kasper K ("Scientific Linux", self compiled R, using Intel's MKL
> for BLAS/LAPACK)
2017 Apr 21
1
Intel MKL compiling issue
> 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:
# https://software.intel.com/en-us/articles/build-r-301-with-intel-c-compiler-and-intel-mkl-on-linux#
2017 Dec 16
2
OpenBLAS in everyday R?
On point 1):
The standard approach seems to favor the reference BLAS for reasons other
than speed.
For example, vecLib, Apple's multi-threaded BLAS library, is not the
default choice for macOS binaries due to concerns about 'precision'. See:
https://cloud.r-project.org/bin/macosx/RMacOSX-FAQ.html#Whic
h-BLAS-is-used-and-how-can-it-be-changed_003f
This doesn't appear to be Mac-
2019 Feb 04
2
nlminb with constraints failing on some platforms
I get the failure message. To be specific:
adcomp.git>R CMD BATCH --quiet test_nlminb.R
adcomp.git>cat test_nlminb.Rout
> f <- function(x) sum( log(diff(x)^2+.01) + (x[1]-1)^2 )
> opt <- nlminb(rep(0, 10), f, lower=-1, upper=3)
> xhat <- rep(1, 10)
> abs( opt$objective - f(xhat) ) < 1e-4? ## Must be TRUE
[1] FALSE
My system is described by:
adcomp.git>uname
2018 Jan 09
2
OpenBLAS in everyday R?
Please pardon my ignorance, but doesn't OpenBLAS still not always play
nicely with multi-threaded OpenMP? (for example, don't race conditions
sometimes crop up)? If so, it might be nice to have the ability to
temporarily disable multi-threaded OpenMP (effectively:
omp_set_num_threads(1)) for the duration of operations using OpenBLAS.
Regards
Ben
> Julia using OpenBLAS is *very*
2017 Dec 17
1
OpenBLAS in everyday R?
Julia Programming Language uses also OpenBlas, and it is actively
maintained with bugs being fixed as I have checked it out:
http://www.openblas.net/Changelog.txt
So I still see it ok to be included as an options(...) feature (by default
off, just for safety), over other Blas libraries.
R could not use Intel MKL for legal reasons (I think), because as long that
R ships with GPL libraries,
2013 Jul 18
1
revolution mkl with R 3.01 on Ubuntu 13.04
So I have two Dell power-edge machines running latest Ubuntu (13.04)
with latest version of R (3.01). I installed revolution-mkl on one
machine (T-410) and it works fine. On the second machine (T-620), it
says the latest version of revolution-mkl is installed, but I'm getting
no multi-processor functioning (R-benchmark-25.R) runs on a single
processor and takes same amount of time
2015 Aug 24
0
Build optimized R : openblas, MKL, ATLAS
On 24 August 2015 at 11:43, arnaud gaboury wrote:
| On Mon, Aug 24, 2015 at 11:29 AM, Bj?rn-Helge Mevik
| <b.h.mevik at usit.uio.no> wrote:
| > arnaud gaboury <arnaud.gaboury at gmail.com> writes:
| >
| >> - Intel MKL: this is part of Intel Parallel Studio and is a paid
| >> software. Now, there is the MKL package distributed by
| >> Revolutionanalytics, but I
2015 Aug 22
2
Build optimized R : openblas, MKL, ATLAS
I want to build R optimized, with either MKL, OpenBLAS or ATLAS.
My OS: Fedora 22
Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian
CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name:
Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz
I am a little confused when it comes to choose a method and would like
to hear your experiences. If I am right, I have 3 possibilities:
-
2018 Jan 10
5
OpenBLAS in everyday R?
I didn't do the compile; is there a way to check whether that was used?
If not, I'll inquire with our sysadmin and report back.
In any case, my suggestion was motivated by the fact that some parts of
R use OpenMP while others do not, in the hope that the former could have
their OpenBLAS omelet without breaking the OpenMP eggs, so to speak.
On 01/09/2018 06:41 PM, Keith O'Hara