Does anyone see a nice portable way to detect --- from inside R ---
if R is using its own BLAS or not?
{ And ideally, if not, can R find out which ``kind'' of
(optimized) BLAS it does run? }
And the same for LAPACK ?
One way of getting a partial answer seems to be
Rs_own_LAPACK_and_BLAS <-
list.files(file.path(R.home(), "lib"), pattern = "^libRlapack") > 0
(where I'd be grateful for confirmation from a Mac and a Windows user
that the above does work)
The reason for asking is a plan of a somewhat automated speed
comparison simulation which seems to depend quite a bit on the
architecture and the version of BLAS it uses.
Martin Maechler, ETH Zurich
is.Rs_own_BLAS() ?
2 messages · Martin Maechler, Brian Ripley
On Wed, 21 Jun 2006, Martin Maechler wrote:
Does anyone see a nice portable way to detect --- from inside R ---
if R is using its own BLAS or not?
{ And ideally, if not, can R find out which ``kind'' of
(optimized) BLAS it does run? }
And the same for LAPACK ?
One way of getting a partial answer seems to be
Rs_own_LAPACK_and_BLAS <-
list.files(file.path(R.home(), "lib"), pattern = "^libRlapack") > 0
(where I'd be grateful for confirmation from a Mac and a Windows user
that the above does work)
Not possible: R on Windows has a plug-in BLAS, and Simon has asked for the same on MacOS X. And the BLAS and LAPACK are DLLs stored in R_HOME/bin, not import libraries stored on R_HOME/lib (which no longer exists). There are even architecture-specific Rblas.dll on CRAN (and have been for some years). Brian
Brian D. Ripley, ripley at 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