elegant way to processing several loops in the same time

Gianni,

Have a look at the foreach package from REvolution Analytics. This
lets you run each loop of a for loop on a separate processor.
I used it for some bootstrapping work a while back and it works really
nicely and simply:

http://www.carsonfarmer.com/?p=668

Carson

Dear Researchers,

i am analyzing statistics of several grids image (i.e. 3 patch: A1, A2, A3)
for my work with 4 resolution scale (0.5,1.0,1.5,2.0). This take a lot of
time. I am asking about reference and web link to learn how I can run in the
same time the same loop for the patch A1, A2 and A3. I open in the same time
three windows of R but It's not elegant.

Thanks in advance
Gianni

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Carson J. Q. Farmer
ISSP Doctoral Fellow
National Centre for Geocomputation
National University of Ireland, Maynooth,
http://www.carsonfarmer.com/

Hi Gianni

Depending on the computer your using it can make sense do do things in 
parallel. If you have a single core chip it is not very useful to run 
multiple tasks at the same time, for multi core chips it is.

There are a lot of possible ways to do that see:
http://cran.r-project.org/web/views/HighPerformanceComputing.html

I myself run sge (sun grid engine) on my own computer (ubuntu) and use 
the Rsge package to interface with it. This is mainly useful for me 
since it allows easy scaling up to cluster computers using sge. If your 
not planing that sge is maybe not the most sensible option.

There is also a r-sig-hpc list that deals with high performance issues 
maybe it is worth going through the archive.

Bart

Dear Researchers,

i am analyzing statistics of several grids image (i.e. 3 patch: A1, A2, A3)
for my work with 4 resolution scale (0.5,1.0,1.5,2.0). This take a lot of
time. I am asking about reference and web link to learn how I can run in the
same time the same loop for the patch A1, A2 and A3. I open in the same time
three windows of R but It's not elegant.

Thanks in advance
Gianni

	[[alternative HTML version deleted]]

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