On 10/10/05 3:54 PM, "Kimpel, Mark William" <[EMAIL PROTECTED]> wrote:
> I am using R with Bioconductor to perform analyses on large datasets
> using bootstrap methods. In an attempt to speed up my work, I have
> inquired about using our local supercomputer and asked the administrator
> if he thou
In general, R is not written in such a way that data remain in cache.
However, R can use optimized BLAS libraries, and these are. So if your
version of R is compiled to use an optimized BLAS library appropriate to
the machine (e.g., ATLAS, or Prof. Goto's Blas), AND a considerable
amount of t
I am using R with Bioconductor to perform analyses on large datasets
using bootstrap methods. In an attempt to speed up my work, I have
inquired about using our local supercomputer and asked the administrator
if he thought R would run faster on our parallel network. I received the
following reply:
