[R] CPU or memory

Stefan Grosse singularitaet at gmx.net
Wed Nov 8 10:45:22 CET 2006

64bit does not make anything faster. It is only of use if you want to
use more then 4 GB of RAM of if you need a higher precision of your

The dual core question: dual core is faster if programs are able to use
that. What is sure that R cannot make (until now) use of the two cores
if you are stuck on Windows. It works excellent if you use Linux. So if
you want dual core you should work with linux (and then its faster of

The Core 2 duo is the fastest processor at the moment however.

(the E6600 has a good price/performance ration)

What I already told Taka is that it is probably always a good idea to
improve your code for which purpose you could ask in this mailing
list... (And I am very sure that you have there a lot of potential).
Another speeding up possibility is e.g. using the atlas library...
(where I am not sure if you already use it)


John C Frain schrieb:
> *Can I extend Taka's question?*
> **
> *Many of my programs in (mainly simulations in R which are cpu bound) on a
> year old PC ( Intel(R) Pentium(R) M processor 1.73GHz or Dell GX380
> with 2.8Gh Pentium) are taking hours and perhaps days to complete on a
> one year old
> PC.  I am looking at an upgrade but the variety of cpu's available is
> confusing at least.   Does any one know of comparisons of the Pentium
> 9x0, Pentium(r)
> Extreme/Core 2 Duo,   AMD(r) Athlon(r) 64 , AMD(r) Athlon(r) 64
> FX/Dual Core AM2 and
> similar chips when used for this kind of work.  Does anyone have any advice
> on (1)  the use of a single core or dual core cpu or (2) on the use of 32
> bit and 64 bit cpu.  This question is now much more difficult as the numbers
> on the various chips do not necessarily refer to the relative speed of the
> chips.
> *
> *John
> * On 06/11/06, Taka Matzmoto <sell_mirage_ne at hotmail.com> wrote:
>> Hi R users
>> Having both a faster CPU and more memory will boost computing power. I was
>> wondering if only adding more memory (1GB -> 2GB)  will significantly
>> reduce
>> R computation time?
>> Taka,
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