Begin work on MPI parallel calculation of pip weights.#5
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tskisner wants to merge 1 commit intodesihub:mainfrom
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Begin work on MPI parallel calculation of pip weights.#5tskisner wants to merge 1 commit intodesihub:mainfrom
tskisner wants to merge 1 commit intodesihub:mainfrom
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rainwoodman
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Nov 11, 2020
| for realization in my_realizations: | ||
| # Set the seed based on the realization, so that the result is reproducible | ||
| # regardless of which process is working on the realization. | ||
| np.random.seed(realization) |
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What about rng = np.random.RandomState(realization) to avoid the global state?
rainwoodman
reviewed
Nov 11, 2020
| tileselect = None | ||
| if args.tiles is not None: | ||
| tileselect = list() | ||
| with open(args.tiles, "r") as f: |
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suggestion: read on root rank and broadcast.
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Probably also apply to line 99 and 111. Not worth it if there is too much work to make the objects "broadcastable"(e.g. pickling) and also we don't intent to run this with many ranks.
domichbt
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Oct 8, 2025
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This is a work in progress- it is not working code.