On 11/07/2013 19:26, Peter Langfelder wrote:
[cc-ing the list]
On Wed, Jul 10, 2013 at 11:36 PM, Christofer Bogaso
<bogaso.christo...@gmail.com> wrote:
Hello again,
I was wondering if it is possible to install OpenBLAS linear algebra
library in R running under windows.
You will have to re-compile R from source and re-install it.
No, all you need to do on Windows is to replace Rblas.dll. On Linux you
most likely only need to link to libRblas.so.
However
- GotoBLAS contained alignment bugs (he called them bugs in R ...) that
stopped 32-bit versions working (or working well). OpenBLAS is a
descendant, and I have not heard this has been fixed.
- I suspect any Windows user who needs to ask does not know enough to do
this. In any case, the posting guide makes clear this is an R-devel topic.
http://cran.r-project.org/doc/manuals/r-devel/R-admin.html
and in particular
http://cran.r-project.org/doc/manuals/r-devel/R-admin.html#BLAS
For what it's worth, on my Core i5 processor running linux I found
that ATLAS BLAS is somewhat faster than OpenBLAS.
Depends on the precise CPU and the task. For SandyBridge Core i7's (and
Xeons) MKL seems better than anything else (and IvyBridge ones are similar).
Now we commonly have systems with 16 cores (and 32 virtual CPUs) the
game can be very different from a dual-core Core i5. We do need to know
what sort of system we are talking about.
HTH,
Peter
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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