R-future
Port variant standard
Summary Unified parallel and distributed processing
Package version 1.25.0
Homepage https://future.futureverse.org
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
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Last modified 27 APR 2022, 16:01:52 UTC
Port created 20 APR 2020, 20:29:45 UTC
Subpackage Descriptions
single future: Unified Parallel and Distributed Processing in R for Everyone The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use 'x %<-% { expression }' with 'plan(multisession)'. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:single:ravensys
R:primary:standard
Build and Runtime R-digest:single:standard
R-globals:single:standard
R-listenv:single:standard
R-parallelly:single:standard
Runtime (only) R:complete:standard
Download groups
main mirror://CRAN/src/contrib
Distribution File Information
d6242ece0fb45f0bf492e8219eae790a448255540ee39ef930a2752fdc821847 359794 CRAN/future_1.25.0.tar.gz
Ports that require R-future:standard
R-furrr:standard Apply Mapping Functions in Parallel using Futures
R-future.apply:standard Apply Function in Parallel using Futures
R-tsfeatures:standard Time Series Feature Extraction