[R] can we manage memory usage to increase speed?

[Spencer Graves]

	  And you can identify inefficient code fairly easily taking snapshots 
from "proc.time" and computing elapsed time for sections of your code.

	  spencer graves

Tuszynski, Jaroslaw W. wrote:

>  
> If you have a code that takes 2 weeks to run, than it might be a case of
> inefficient algorithm design. I was able to go from overnight runs (SELDI
> data analysis) to 20 minute runs by identifying single inefficient function
> that took most of the time, and writing it in C.
> 
> Jarek
> ====================================================\=======
> 
>  Jarek Tuszynski, PhD.                           o / \ 
>  Science Applications International Corporation  <\__,|  
>  (703) 676-4192                                   ">   \
>  Jaroslaw.W.Tuszynski at saic.com                     `    \
> 
> 
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Zhilin Liu
> Sent: Monday, August 01, 2005 8:28 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] can we manage memory usage to increase speed?
> 
> Hi,
>  
> Thanks for reading.
>  
> I am running  a process in R for microarray data analysis. RedHat Enterprise
> Linux 4, dual AMD CPU, 6G memory. However, the R process use only a total of
> <200M memory. And the CPU usage is total to ~110% for two. The program takes
> at least 2 weeks to run at the current speed. Is there some way we can
> increase the usage of CPUs and memories and speed up? Any suggestion is
> appreciated.
>  
> Thanks again.
>  
> Zhilin 
> 
> 	[[alternative HTML version deleted]]
> 
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-- 
Spencer Graves, PhD
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