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Along with dask and Pytorch, we want another option for parallelization. This one is Joblib, a Python library often used for "embarassingly parallel for loops", that just runs on the CPU. The target code to parallelize is the same as issues #168 and #172, and this works to give users more choice when running Pycoal. Documentation on Joblib is linked below. https://joblib.readthedocs.io/en/latest/index.html https://joblib.readthedocs.io/en/latest/parallel.html
The text was updated successfully, but these errors were encountered:
Along with dask and Pytorch, we want another option for parallelization. This one is Joblib, a Python library often used for "embarassingly parallel for loops", that just runs on the CPU. The target code to parallelize is the same as issues #168 and #172, and this works to give users more choice when running Pycoal. Documentation on Joblib is linked below.
https://joblib.readthedocs.io/en/latest/index.html
https://joblib.readthedocs.io/en/latest/parallel.html
The text was updated successfully, but these errors were encountered: