dear Jeff,
Yeah, you are right.....just went through the documentation
and found out that clusterApplyLB() from parallel package does the job...
Thanks again....
THanking you,
Yours sincerely
AKSHAY M KULKARNI
________________________________
From: Jeff Newmiller <jdnew...@dcn.davis.ca.us>
Sent: Saturday, November 5, 2022 1:24 AM
To: r-help@r-project.org <r-help@r-project.org>; akshay kulkarni
<akshay...@hotmail.com>; R help Mailing list <r-help@r-project.org>
Subject: Re: [R] on parallel processing...
You don't specify processors. Just invoke the worker functions with the
relevant packages and they will be allocated according to how you defined the
cluster object... typically automatically. Processors are usually specified (to
the cluster object) according to IP address. Cores within the processors are
allocated according to how many processes are created.
Maybe you should read some documentation (vignettes), and/or look into
R-sig-hpc (https://stat.ethz.ch/mailman/listinfo/r-sig-hpc). This is probably
not the best place to pursue this.
On November 4, 2022 12:35:11 PM PDT, akshay kulkarni <akshay...@hotmail.com>
wrote:
>Dear members,
> I want to send the same function with different
> arguments to different processors. This solution was provided in Stack
> Overflow
> https://stackoverflow.com/questions/25045998/send-function-calls-with-different-arguments-to-different-processors-in-r-using
>[https://cdn.sstatic.net/Sites/stackoverflow/Img/apple-touch-i...@2.png?v=73d79a89bded]<https://stackoverflow.com/questions/25045998/send-function-calls-with-different-arguments-to-different-processors-in-r-using>
>Send function calls with different arguments to different processors in R
>using parallel package - Stack
>Overflow<https://stackoverflow.com/questions/25045998/send-function-calls-with-different-arguments-to-different-processors-in-r-using>
>Teams. Q&A for work. Connect and share knowledge within a single location that
>is structured and easy to search. Learn more about Teams
>stackoverflow.com
>I have a 48 core processor. My question is, how do i loop through the cores
>without explicitly mentioning the core numbers?
>Will this work?
>
>
>
>library(parallel)
>cl <- makeCluster(4)
>clusterExport(cl, "foo")
>cores <- seq_along(cl)
>r <- clusterApply(cl[cores], cores, function(core) {
>
> for(i in 1:48) {
>
> if (core ==i) {
>
> foo( x[i] )
>
>}
>}
>})
>
>Many thanks in advance......
>
>Thanking you,
>Your sincerely,
>AKSHAY M KULKARNI
>
> [[alternative HTML version deleted]]
>
>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
--
Sent from my phone. Please excuse my brevity.
[[alternative HTML version deleted]]
______________________________________________
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