On Tue, 24 Mar 2009, Simon Urbanek wrote:
On Mar 24, 2009, at 14:55 , Booman, M wrote:
Dear all,
I am going to purchase a Power Mac (a new one, with Nehalem processor) for
my R-based microarray analyses. I use mainly Bioconductor packages, and a
typical dataset would consist of 50
Dear all,
I am going to purchase a Power Mac (a new one, with Nehalem processor) for my
R-based microarray analyses. I use mainly Bioconductor packages, and a typical
dataset would consist of 50 microarrays with 40,000 datapoints each. To make
the right choice of processor and memory, I have
Hi Marije,
Personally, I would be more concerned with memory than processor.
Running out of memory can be an unpleasant surprise. Base R uses a
single core, but Simon Urbanek's multicore package (the most recent
version of which, 0.1-3, is dated today) does allow you to use multiple
cores at
-
From: r-sig-mac-boun...@stat.math.ethz.ch on behalf of Dan Putler
Sent: Tue 3/24/2009 12:08 PM
To: Booman, M
Cc: R-SIG-Mac
Subject: Re: [R-SIG-Mac] Is R more heavy on memory or processor?
Hi Marije,
Personally, I would be more concerned with memory than processor.
Running out of memory can
On Mar 24, 2009, at 14:55 , Booman, M wrote:
Dear all,
I am going to purchase a Power Mac (a new one, with Nehalem
processor) for my R-based microarray analyses. I use mainly
Bioconductor packages, and a typical dataset would consist of 50
microarrays with 40,000 datapoints each. To
memory as I can afford right now and expand later.
Cheers,
Marije
Van: Simon Urbanek [mailto:simon.urba...@r-project.org]
Verzonden: di 24-3-2009 21:01
Aan: Booman, M
CC: R-SIG-Mac
Onderwerp: Re: [R-SIG-Mac] Is R more heavy on memory or processor?
On Mar 24
