On 04/09/2013 18:57, Hui Du wrote:
Hi R-community:
I heard 'snow' package is a good tool to parallelize processes and speed them
up. I tried to use it but was not successful. Could someboy point where I was
wrong? Thanks.
I want to read a HUGE file to R and hope 'snow' helps me to speed it up
Hi R-community:
I heard 'snow' package is a good tool to parallelize processes and speed them
up. I tried to use it but was not successful. Could someboy point where I was
wrong? Thanks.
I want to read a HUGE file to R and hope 'snow' helps me to speed it up. Here
are codes:
library(snow)
iFi
Hi. I have some problems trying to make cluster via "snow" package and
haven't found a solution for my problem in archives and relative topics.
I installed ssh server using cygwin and set a password-less SSH Login.
In R session after starting ssh service:
> system("ssh 10.10.5.15 date")
Tue
Prof Ripley
Thanks for your message - you are absolutely right. I should have provided
more information.
Meanwhile, I found out that loading an R workspace prevented parApply from
working properly. The workspace contains many objects and I could not
figure out which one was responsible for causin
On Sun, 12 Jun 2011, Unger, Kristian, Dr. wrote:
Hi
I try parallelising some code using the snow package and the following lines:
cl <- makeSOCKcluster(8)
pfunc <- function (x) (if(x <= (-th)) 1 else 0) ###correlation coefficient
clusterExport(cl,c("pfunc","th"))
cor.c.f <- parApply(cl,tms,c(
Hi
I try parallelising some code using the snow package and the following lines:
cl <- makeSOCKcluster(8)
pfunc <- function (x) (if(x <= (-th)) 1 else 0) ###correlation coefficient
clusterExport(cl,c("pfunc","th"))
cor.c.f <- parApply(cl,tms,c(1,2),FUN=pfunc)
The parApply results in the error m
Is the rmpi package (or rpvm) needed to exploit multiple cores on a
single unix box using the snow package. The documentation of the package
does not provide info about setting up a single machine with multiple
cores. Also, if how effective is it to run a bayesian simulation on
parallel (or distrib
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