See the vignette for package 'parallel' to make use of your 4 cores.
On 26/06/2012 01:07, Xi wrote:
Dear All,
I have been searching online for help increasing my R code more efficiently
for almost a whole day, however, there is no solution to my case. So if
anyone could give any clue to solve my problem, I would be very appreciate
for you help. Thanks in advance.
Here is my issue:
My desktop is with i7-950 Quad-core CPU with 24Gb memory, and a NVIDIA GTX
480 graphic card, and I am using a 64-bit version of R under 64-bit Windows
.
I am running a "for" loop to generate a 461*5 matrix data, which is coming
from the coefficients of 5 models. The loop would produce 5 values one
time, and it will run 461 times in total. I have tried to run the code
inside the loop just once, it will cost almost 10 seconds, so if
we intuitively calculate the time of the whole loop will cost, it would be
4610 seconds, equal to almost one and a half hours, which is exactly the
whole loop taking indeed. But I have to run this kinda loop for
30 data-sets!
Although I thought I am using a not-bad at all desktop, I checked the usage
of CPU and memory during my running R code, and found out the whole code
just used 15% of CPU and 10% of memory. Does anyone have the same issue
with me? or Does anyone know some methods to shorten the running time and
increase the usage of CPU and memory?
Many thanks,
Xi
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