Three comments, all from the 'R Installation and Adminstration' manual.
1) In general there is a small performance penalty for using a 64-bit
version of R (larger pointers to move around).
2) For speed, bulld yourself a non-shared-library version of R. Those
binary maintainers are supplying
On 26 April 2008 at 12:27, Prof Brian Ripley wrote:
| 3) If you are doing matrix algebra you want an optimized BLAS. The CRAN
| build of R for Mac OS by default uses vecLib (which is optimized by
| Apple). On other OSes R can be built to use optimized BLAS (see the
| manual) -- my
Hi !
I have installed R-2.7.0 64-bits on a computer where the new Ubuntu
version (8.04) was installed. This computer is a 3.2 GHz Dual-core with
2 Gb of RAM.
To test how fast (I though !) this machine is, I compared two simple
matrix manipulations between Ubuntu and my laptop (a MacBook Pro
On Apr 25, 2008, at 4:34 PM, Guillaume Blanchet wrote:
Hi !
I have installed R-2.7.0 64-bits on a computer where the new Ubuntu
version (8.04) was installed. This computer is a 3.2 GHz Dual-core
with
2 Gb of RAM.
To test how fast (I though !) this machine is, I compared two simple
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