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r-parallelmap

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Unified parallelization framework for multiple back-end, designed for internal package and interactive usage. The main operation is a parallel "map" over lists. Supports local, multicore, mpi and BatchJobs mode. Allows "tagging" of the parallel operation with a level name that can be later selected by the user to switch on parallel execution for exactly this operation.

Installation

To install this package, run one of the following:

Conda
$conda install f30a78ec8::r-parallelmap

Usage Tracking

1.3
1 / 8 versions selected
Total downloads: 0

About

Summary

Unified parallelization framework for multiple back-end, designed for internal package and interactive usage. The main operation is a parallel "map" over lists. Supports local, multicore, mpi and BatchJobs mode. Allows "tagging" of the parallel operation with a level name that can be later selected by the user to switch on parallel execution for exactly this operation.

Information Last Updated

Mar 25, 2025 at 16:18

License

BSD_2_clause

Total Downloads

8