issue_comments: 357533707

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https://github.com/pydata/xarray/issues/1822#issuecomment-357533707 https://api.github.com/repos/pydata/xarray/issues/1822 357533707 MDEyOklzc3VlQ29tbWVudDM1NzUzMzcwNw== 25473287 2018-01-14T19:05:29Z 2018-01-14T19:05:29Z NONE

Thanks for bringing this up... I've made more experiments and realized that Numba is actually faster than scipy.sparse, and also shows excellent parallel efficiency. See this notebook for all details. Thus I consider switch to Numba and add parallel support in the next version. It should fit better than xr.apply_ufunc in this case. Let's discuss in the original thread if you have further suggestions.

 
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