>>> 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>

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