Package: future.apply 1.11.2

future.apply: Apply Function to Elements in Parallel using Futures

Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.

Authors:Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]

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future.apply.pdf |future.apply.html✨
future.apply/json (API)
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Peer review:

Bug tracker:https://github.com/henrikbengtsson/future.apply/issues

On CRAN:

asynchronousdistributed-computingfuturehpchpc-clustersparallelparallel-computingparallel-processingparallelizationprogramming

11 exports 207 stars 11.91 score 6 dependencies 824 dependents 2 mentions 1.6k scripts 133.6k downloads

Last updated 5 months agofrom:8cce49c256 (on master). Checks:OK: 7. Indexed: yes.

Exports:future_.mapplyfuture_applyfuture_byfuture_eapplyfuture_lapplyfuture_Mapfuture_mapplyfuture_replicatefuture_sapplyfuture_tapplyfuture_vapply

Dependencies:codetoolsdigestfutureglobalslistenvparallelly