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  • JiaweiZhuang · 2 ✖

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  • Use apply_ufunc in xESMF regridding package · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
357549143 https://github.com/pydata/xarray/issues/1822#issuecomment-357549143 https://api.github.com/repos/pydata/xarray/issues/1822 MDEyOklzc3VlQ29tbWVudDM1NzU0OTE0Mw== JiaweiZhuang 25473287 2018-01-14T22:44:15Z 2018-01-14T22:44:15Z NONE

I agree that they can be both implemented, and dask is useful for out-of-core. If anyone would like to contribute, please see JiaweiZhuang/xESMF#3 (comment) for my preliminary experiments with xr.apply_ufunc.

 
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   Use apply_ufunc in xESMF regridding package 287969295
357533707 https://github.com/pydata/xarray/issues/1822#issuecomment-357533707 https://api.github.com/repos/pydata/xarray/issues/1822 MDEyOklzc3VlQ29tbWVudDM1NzUzMzcwNw== JiaweiZhuang 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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   Use apply_ufunc in xESMF regridding package 287969295

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