issue_comments: 178661780

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https://github.com/pydata/xarray/issues/729#issuecomment-178661780 https://api.github.com/repos/pydata/xarray/issues/729 178661780 MDEyOklzc3VlQ29tbWVudDE3ODY2MTc4MA== 1217238 2016-02-02T16:14:24Z 2016-02-02T16:14:24Z MEMBER

Something like einsum or a broadcasting matrix multiplication could help a little bit here, by replacing (M * FLUX).sum('Paliers') with M.dot(FLUX, dim='Paliers') and thereby reducing peak memory consumption, but even there I'm calculating peak chunk size at 950000 elements. This should be totally fine on most machines.

@mrocklin Unfortunately, I don't know an easy way to create a copy of a netCDF file with random data, but that's a good idea for a little project....

 
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