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(multiprocess)`. 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.

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Description file content

Package
future
Version
1.10.0
Title
Unified Parallel and Distributed Processing in R for Everyone
Imports
digest, globals (>= 0.12.1), listenv (>= 0.7.0), parallel, utils
Suggests
R.rsp, markdown
VignetteBuilder
R.rsp
Description
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(multiprocess)`. 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.
License
LGPL (>= 2.1)
LazyLoad
TRUE
ByteCompile
TRUE
URL
BugReports
https://github.com/HenrikBengtsson/future/issues
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2018-10-17 01:49:57 UTC; hb
Author
Henrik Bengtsson [aut, cre, cph]
Maintainer
Henrik Bengtsson
Repository
CRAN
Date/Publication
2018-10-17 08:20:02 UTC

install.packages('future')

1.10.0

a month ago

https://github.com/HenrikBengtsson/future

Henrik Bengtsson

LGPL (>= 2.1)

Imports

digest, globals (>= 0.12.1), listenv (>= 0.7.0), parallel, utils

Suggests

R.rsp, markdown

Discussions