Take a look at foreach() and %dopar$ from the CRAN package foreach.
Michael
On Tue, May 15, 2012 at 1:57 AM, Alaios <ala...@yahoo.com> wrote:
> Dear all,
> I am having a for loop that iterates a given number of measurements that I
> would like to split over 16 available cores. The code is in the following
> format
>
> inputForFunction<-expand.grid(caseList,filterList)
> for (i in c(1:length(inputForFunction$Var1))){#
> FileList<-GetFileList(flag=as.vector(inputForFunction$Var1[i]));
> print(sprintf("Calling the plotsCreate for %s
> and%s",as.vector(inputForFunction$Var1[i]),as.vector(inputForFunction$Var2[i])))
>
>
> plotsCreate(Folder=mainFolder,case=as.vector(inputForFunction$Var1[i]),DataList=FileList,DataFilter=as.vector(inputForFunction$Var2[i]))
> }
>
> as you can see after the inputForFunction is calculated then my code iterates
> over the available combinations of caseList and filterList. It would be
> great, without major changes, split these "tasks" to all the available
> processors.
>
> Is there some way to do that?
>
> Regards
> Alex
>
> [[alternative HTML version deleted]]
>
>
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