search for: parallelmclapply

...ats with the name, and return those stats . Ideally I want to use the large data.table as shared-memory but the number of mc.cores I can use are being limited because each one requires 7 GB. Someone posted this exact same issue <http://stackoverflow.com/questions/13942202/r-and-shared-memory-for-parallelmclapply> on stackoverflow a couple years ago but it never got answered. Do I have to manually tell mclapply to use shared memory (if so, how?)? Is this type of job better with the doParallel package and foreach approach? Josh Bradley [[alternative HTML version deleted]]