What Charles pointed out was that while the inner product is very big, > it seems to fit into memory on his 32-bit Linux machine; is it > possible that OSX is preventing your python process from using even > the meager 2-3 GB that a 32-bit process ought to get?
Yes -- I think this is what is happening, because it's choking on calling up 1.6 GiB > In particular, > try running Charles' script in a fresh python interpreter and see if > it works; it may be that other arrays you had allocated are taking up > some of the space that this one could. I did try this a number of times. The result was by starting python freshly or deleting other arrays from memory, I am able to increase the size of the largest array I can compute the inner product on. However, even with nothing else in memory other than numpy and the original matrix whose inner product I'm taking
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