issue_comments: 265966887

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https://github.com/pydata/xarray/pull/1128#issuecomment-265966887 https://api.github.com/repos/pydata/xarray/issues/1128 265966887 MDEyOklzc3VlQ29tbWVudDI2NTk2Njg4Nw== 743508 2016-12-09T09:08:48Z 2016-12-09T09:08:48Z CONTRIBUTOR

@shoyer thanks, with a little testing it seems lock=False is fine (so don't automatically need dask dev for lock=dask.utils.SerializableLock()). Using spawning pool is necessary, just doesn't work without. Also looks like using dask distributed ipython backend works fine (works similar to spawn pool in that the worker engines aren't forked but kinda live in their own little world) - this is really nice because ipython in turn has good support for HPC systems (SGE batch scheduling + MPI for process handling).

 
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