[R] what`s best memory - speed - pc for R?

Joshua Wiley jwiley.psych at gmail.com
Mon Jun 7 08:56:17 CEST 2010

Hello Johannes,

These topics have been fairly well discussed on the helplist, so a
search will return you a lot more results.
Regarding memory, there are options besides simply increasing RAM
(although if you have the funds, by all means).  Look at
http://crantastic.org/packages/ff and
http://crantastic.org/packages/bigmemory and some of the related

Regarding multi-core processors.  R does not use multiple threads by
default, but there are many packages that can utilize multi-core
processors.  Look at http://crantastic.org/packages/multicore  and
also this article http://www.jstatsoft.org/v31/i01  discusses some of
the options there.

Regarding operating systems, I am not certain what you consider
'standard operating systems'.  You would certainly want 64-bit.
Beyond that I know that some versions of Windows (e.g., the 'basic',
'starter' or 'home' lines) are often limited in their memory usage
even for 64-bit.  Microsoft gives the details here

I would hazard the guess that as long as you purchase the computer
pre-made, the manufacturer will ensure that the OS, processor, and RAM
amounts, types, speeds, etc. are all compatible.  A search for
'workstations' should turn up results about where you might shop for
an appropriate computer.  There are many options available.

Just to reiterate, there is a lot more information available on each
of these topics in the archives, here is a link where you can easily
search them  http://tolstoy.newcastle.edu.au/~rking/R/

Best regards,


On Sun, Jun 6, 2010 at 11:06 PM, Johannes  Reichl
<reichl at energieinstitut-linz.at> wrote:
> Hi all,
> I need to do massive simulations in the next two years. I estimated
> that I will need about 64GB memory, if I do not want to split up the
> calculations. Additionally I would like to have it as fast as possible.
> Can R handle multi-core processors and can all standard operating
> systems handle the same amount of memory and speed?
> Perhaps someone could point me to a webshop that sales such equipment
> that is suiteable for fast R computation.
> Thank you, Johannes
> Dr. Johannes Reichl
> Abteilung Energiewirtschaft
> Energieinstitut an der Johannes Kepler Universität Linz
> Altenberger Straße 69
> A-4040 Linz
> *****************************
> Tel.: +43-732-2468-5652
> Fax: +43-732-2468-5651
> Email: reichl at energieinstitut-linz.at
> Web: www.energieinstitut-linz.at
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Joshua Wiley
Senior in Psychology
University of California, Riverside

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