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Parallelization of the ensemble functionality #67

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vetlewi opened this issue Nov 6, 2019 · 0 comments
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Parallelization of the ensemble functionality #67

vetlewi opened this issue Nov 6, 2019 · 0 comments
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@vetlewi
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vetlewi commented Nov 6, 2019

The processing of each of the realizations created in the ensemble should be fairly easy to run in parallel. This could improve the performance of the code considerable. Shouldn't be high on the priority list, but at some point down the road...

@vetlewi vetlewi added the feature_request Requestion this feature label Nov 6, 2019
@fzeiser fzeiser added this to the Version 1.0 milestone Jan 9, 2020
fzeiser pushed a commit that referenced this issue Jan 13, 2020
- Used pathos multiprocessing beacause of problem with pickling if using the "normal" multiprocess module.
- added parallization for ensemble class; fixes #67
- Fixing logger issue for multiprocessing(closed pools after usage)
- fixed random seeds for each thread
fzeiser pushed a commit that referenced this issue Jan 16, 2020
- Used pathos multiprocessing beacause of problem with pickling if using the "normal" multiprocess module.
- added parallization for ensemble class; fixes #67
- Fixing logger issue for multiprocessing(closed pools after usage)
- fixed random seeds for each thread
fzeiser pushed a commit that referenced this issue Jan 16, 2020
- Used pathos multiprocessing beacause of problem with pickling if using the "normal" multiprocess module.
- added parallization for ensemble class; fixes #67
- Fixing logger issue for multiprocessing(closed pools after usage)
- fixed random seeds for each thread
fzeiser pushed a commit that referenced this issue Jan 16, 2020
- Used pathos multiprocessing beacause of problem with pickling if using the "normal" multiprocess module.
- added parallization for ensemble class; fixes #67
- Fixing logger issue for multiprocessing(closed pools after usage)
- fixed random seeds for each thread
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