... I have exactly the same issue with R 2.3.1 . The Question is: Why is R
unable to take more CPU space to make the calculation process go faster?
In my case no hardisk nor any network device is involved (data in RAM, 600 of
1024 MB filled) - and the CPU usage of the rgui-process does not
Markus Preisetanz wrote:
... I have exactly the same issue with R 2.3.1 . The Question is: Why is R
unable to take more CPU space to make the calculation process go faster?
In my case no hardisk nor any network device is involved (data in RAM, 600 of
1024 MB filled) - and the CPU usage of
Duncan Murdoch wrote:
Markus Preisetanz wrote:
... I have exactly the same issue with R 2.3.1 . The Question is: Why is R
unable to take more CPU space to make the calculation process go faster?
In my case no hardisk nor any network device is involved (data in RAM, 600
of 1024 MB
Markus Preisetanz wrote:
... I have exactly the same issue with R 2.3.1 . The Question is: Why
is R unable to take more CPU space to make the calculation process go
faster?
You have either 2 CPUs, a dual core CPU or a P4/Xeon processor with
hyperthreading enabled. In most regular cases,
]
To: R-help@stat.math.ethz.ch
Sent: Monday, August 07, 2006 8:31 AM
Subject: Re: [R] CPU Usage with R 2.1.0 in Windows (and with R 2.3.1)
... I have exactly the same issue with R 2.3.1 . The Question is: Why is R
unable to take more CPU space to make the calculation process go faster?
In my
PROTECTED]
To: Markus Preisetanz [EMAIL PROTECTED]
Cc: R-help@stat.math.ethz.ch
Sent: Monday, August 07, 2006 8:42 AM
Subject: Re: [R] CPU Usage with R 2.1.0 in Windows (and with R 2.3.1)
Markus Preisetanz wrote:
... I have exactly the same issue with R 2.3.1 . The Question is: Why is R
unable
You could compile R using specific libraries if threading/dual core is
the issue
Look eg here:
http://tolstoy.newcastle.edu.au/R/devel/05/12/3355.html
and in R Administration Guide Section A.(2.2)
.
And probably you are better of with Linux if you rely on speed:
On Mon, 7 Aug 2006, Singu wrote:
You could compile R using specific libraries if threading/dual core is
the issue
Look eg here:
http://tolstoy.newcastle.edu.au/R/devel/05/12/3355.html
Hmm, quoting me. None of those libraries for Windows is multithreaded,
nor does it say anthing about
