If you switch directly to the multicore package you can use the mclapply() function. There, check for the parameter mc.preschedule=T / F. You can use this parameter to improve the load balancing.
I do not know a parameter to tune foreach with this parameter. Best Markus Am Dienstag, den 12.07.2011, 04:31 -0700 schrieb peter_petersen: > Dear R-Users, > > I run a MC-Simulation using the the packages "foreach" and "doMC" on a > PowerMac with 24 cores. There are roughly a hundred parametersets and I > parallelized the program in a way, that each core computes one of these > parametersets completely. > > The problem ist, that some parametersets take a lot longer to compute than > others. After a while there are only a quarter of the cores still computing > (their first parameterset), while others are already finished. But some > parametersets are still untouched. > > I have thought about changing my parameterfile in a way, that every > combination takes roughly the same time (longer computations are offset with > less repetitions), but maybe there is a more elegant solution. > > "Is it somehow possible to wake the finished cores, while there is still > work to do?" ;-) > > Sincerly, > H. Bumann > > -- > View this message in context: > http://r.789695.n4.nabble.com/MC-Simulation-with-foreach-Some-cores-finish-early-tp3661998p3661998.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
