Hello,
Now that both PC and Mac have 64-bit CPU capable of addressing several
gigabytes of RAM, will bioconductor be able to take advantage of this
new
feature without a major revision? I remember having a trouble trying
to
process 100+ chips at once due to limitation in addressable memory, so
I'm curious.
Shinichiro Wachi
Hi Shinichiro Wachi,
we've been running bioconductor on a 64 bit HP-UX machine for a while.
And
that is nice since it indeed gives you lots of RAM (in our case, up to
96
GB).
The only issue is to get all the compilers and necessary libraries in
64
bit versions when you compile R and install bioconductor. There are
-to
my knowledge- no inherent limitations with R or bioconductor.
Best wishes
Wolfgang
-------------------------------------
Wolfgang Huber
Division of Molecular Genome Analysis
German Cancer Research Center
Heidelberg, Germany
Phone: +49 6221 424709
Fax: +49 6221 42524709
Http: www.dkfz.de/mga/whuber
-------------------------------------
On Wed, 24 Sep 2003, Shinichiro Wachi wrote:
> Hello,
>
> Now that both PC and Mac have 64-bit CPU capable of addressing
several
> gigabytes of RAM, will bioconductor be able to take advantage of
this new
> feature without a major revision? I remember having a trouble
trying to
> process 100+ chips at once due to limitation in addressable memory,
so
> I'm curious.
>
> Shinichiro Wachi
Hello Shinichiro:
> Now that both PC and Mac have 64-bit CPU capable of addressing
several
> gigabytes of RAM, will bioconductor be able to take advantage of
this
> new feature without a major revision? I remember having a trouble
> trying to process 100+ chips at once due to limitation in
addressable
> memory, so I'm curious.
I have been using Bioconductor on the new AMD x86-64 since at least
June. Since I always compile from source, I was able to take
advantage
of the larger memory address space once I figured out the proper
compiler options and no code changes to R or Bioconductor.
Good Luck!!
Dave H
--
David A. Henderson, Ph.D.
Assistant Professor of Animal Genetics, CALS
Assistant Professor of Biostatistics, AZCOPH
231 Shantz Building
Department of Animal Science
University of Arizona
Tucson, AZ 85721
Phone: (520)626-8903
Fax: (520)621-9435
DNADave@U.Arizona.Edu
David Henderson <dnadave@u.arizona.edu> writes:
> > Now that both PC and Mac have 64-bit CPU capable of addressing
several
> > gigabytes of RAM, will bioconductor be able to take advantage of
this
> > new feature without a major revision? I remember having a trouble
> > trying to process 100+ chips at once due to limitation in
addressable
> > memory, so I'm curious.
>
> I have been using Bioconductor on the new AMD x86-64 since at least
> June. Since I always compile from source, I was able to take
advantage
> of the larger memory address space once I figured out the proper
> compiler options and no code changes to R or Bioconductor.
I think the R developer group would be interested in knowing which
compilers and which options you used to compile R for the AMD x86-64.
Also, what was your operating system - SuSE Linux? Have you tried
compiling the beta test versions of R-1.8.0? If so, do they look ok
too?