>>> See inline for responses. But people are always welcome to contact >>> us directly.
Hi all, I'm on a Linux server with 48Gb RAM. I did the following: x <- big.matrix(nrow=20000,ncol=500000,type='short',init=0,dimnames=list(1:20000,1:500000)) #Gets around the 2^31 issue - yeah! >>> We strongly discourage use of dimnames. in Unix, when I hit the "top" command, I see R is taking up about 18Gb RAM, even though the object x is 0 bytes in R. That's fine: that's how bigmemory is supposed to work I guess. My question is how do I return that RAM to the system once I don't want to use x any more? E.g., rm(x) then "top" in Unix, I expect that my RAM footprint is back ~0, but it remains at 18Gb. How do I return RAM to the system? >>> It can take a while for the OS to free up memory, even after a gc(). >>> But it's available for re-use; if you want to be really sure, have a look >>> in /dev/shm to make sure the shared memory segments have been >>> deleted. Thanks, Matt -- John W. Emerson (Jay) Associate Professor of Statistics Department of Statistics Yale University http://www.stat.yale.edu/~jay <http://www.stat.yale.edu/%7Ejay> [[alternative HTML version deleted]] ______________________________________________ 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.
