Thank you for your reply.
I used debian system. I will try parallel. Thanks.
uname -a
Linux m1000e1-m610-6 2.6.26-2-amd64 #1 SMP Tue Mar 9 22:29:32 UTC 2010
x86_64 GNU/Linux
sessionInfo()
R version 2.14.2 (2012-02-29)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] C
attached base pack
On 29/06/2012 07:59, Fabrice Tourre wrote:
Dear list,
I am using mclapply(from multicore) to use multiple cores on one
server. If I do not use mclapply, just one core, my R problem will use
4G memory. When I use mclapply and set mc.cores =10, each core will
use 4G memory. So totally it will use
Dear list,
I am using mclapply(from multicore) to use multiple cores on one
server. If I do not use mclapply, just one core, my R problem will use
4G memory. When I use mclapply and set mc.cores =10, each core will
use 4G memory. So totally it will use 40G memory. Is it possible let
each core to s
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