Other packages > Find by keyword >

future  

Unified Parallel and Distributed Processing in R for Everyone
View on CRAN: Click here


Download and install future package within the R console
Install from CRAN:
install.packages("future")

Install from Github:
library("remotes")
install_github("cran/future")

Install by package version:
library("remotes")
install_version("future", "1.34.0")



Attach the package and use:
library("future")
Maintained by
Henrik Bengtsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-19
Latest Update: 2023-12-22
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(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.
How to cite:
Henrik Bengtsson (2015). future: Unified Parallel and Distributed Processing in R for Everyone. R package version 1.34.0, https://cran.r-project.org/web/packages/future. Accessed 02 Feb. 2025.
Previous versions and publish date:
0.6.0 (2015-06-19 10:25), 0.7.0 (2015-07-14 20:40), 0.8.0 (2015-09-07 08:46), 0.8.1 (2015-10-05 23:01), 0.8.2 (2015-10-14 23:41), 0.9.0 (2015-12-12 09:13), 0.10.0 (2015-12-31 00:35), 0.11.0 (2016-01-20 09:12), 0.12.0 (2016-02-24 09:11), 0.13.0 (2016-04-14 08:32), 0.14.0 (2016-05-17 01:08), 0.15.0 (2016-06-14 10:31), 1.0.0 (2016-06-24 09:53), 1.0.1 (2016-07-04 09:31), 1.1.0 (2016-10-10 08:28), 1.1.1 (2016-10-11 00:45), 1.2.0 (2016-11-12 14:02), 1.3.0 (2017-02-19 10:53), 1.4.0 (2017-03-13 08:45), 1.5.0 (2017-05-26 08:31), 1.6.0 (2017-08-13 07:33), 1.6.1 (2017-09-09 16:52), 1.6.2 (2017-10-17 00:57), 1.7.0 (2018-02-11 15:26), 1.8.0 (2018-04-08 13:08), 1.8.1 (2018-05-03 06:13), 1.9.0 (2018-07-23 10:00), 1.10.0 (2018-10-17 10:20), 1.11.0 (2019-01-22 00:20), 1.11.1.1 (2019-01-27 00:30), 1.12.0 (2019-03-08 20:32), 1.13.0 (2019-05-09 00:50), 1.14.0 (2019-07-02 10:30), 1.15.0 (2019-11-08 13:20), 1.15.1 (2019-11-25 10:40), 1.16.0 (2020-01-16 16:20), 1.17.0 (2020-04-18 09:40), 1.18.0 (2020-07-09 07:40), 1.19.1 (2020-09-22 18:30), 1.20.1 (2020-11-03 07:40), 1.21.0 (2020-12-10 10:00), 1.22.1 (2021-08-25 11:30), 1.23.0 (2021-10-31 07:30), 1.24.0 (2022-02-19 19:20), 1.25.0 (2022-04-24 09:00), 1.26.1 (2022-05-27 21:20), 1.27.0 (2022-07-22 13:00), 1.28.0 (2022-09-02 15:40), 1.29.0 (2022-11-06 18:40), 1.30.0 (2022-12-16 01:20), 1.31.0 (2023-02-01 09:50), 1.32.0 (2023-03-07 09:10), 1.33.0 (2023-07-01 20:00), 1.33.1 (2023-12-22 08:20), 1.33.2 (2024-03-26 19:00)
Other packages that cited future R package
View future citation profile
Other R packages that future depends, imports, suggests or enhances
Complete documentation for future
Functions, R codes and Examples using the future R package
Some associated functions: ClusterFuture-class . ConstantFuture-class . Future-class . FutureCondition . FutureGlobals . FutureResult . MulticoreFuture-class . MultiprocessFuture-class . UniprocessFuture-class . backtrace . cluster . clusterExportSticky . find_references . future . future.options . futureOf . futureSessionInfo . futures . getExpression . getGlobalsAndPackages . grapes-conditions-grapes . grapes-globals-grapes . grapes-label-grapes . grapes-lazy-grapes . grapes-plan-grapes . grapes-seed-grapes . grapes-stdout-grapes . grapes-tweak-grapes . mandelbrot . multicore . multisession . nbrOfWorkers . nullcon . plan . private_length . re-exports . readImmediateConditions . requestCore . resetWorkers . resolve . resolved . result . run . save_rds . sequential . sessionDetails . signalConditions . sticky_globals . tweak . usedCores . value . 
Some associated R codes: 000.bquote.R . 000.import.R . 000.re-exports.R . ClusterFuture-class.R . ClusterRegistry.R . ConstantFuture-class.R . Future-class.R . FutureCondition-class.R . FutureGlobals-class.R . FutureRegistry.R . FutureResult-class.R . MulticoreFuture-class.R . MultiprocessFuture-class.R . MultisessionFuture-class.R . UniprocessFuture-class.R . backtrace.R . capture_journals.R . cluster.R . conditions_OP.R . connections.R . constant.R . expressions.R . future.R . futureAssign.R . futureAssign_OP.R . futureCall.R . futureOf.R . futureSessionInfo.R . futures.R . globals.R . globals_OP.R . journal.R . label_OP.R . lazy_OP.R . makeClusterPSOCK_args.R . mandelbrot.R . multicore.R . multisession.R . nbrOfWorkers.R . options.R . plan_OP.R . resolve.R . resolved.R . rng_utils.R . seed_OP.R . sequential.R . sessionDetails.R . signalConditions.R . signalEarly.R . stdout_OP.R . stealth_sample.R . sticky_globals.R . tweak.R . tweakExpression.R . tweak_OP.R . utils,conditions.R . utils-immediateCondition.R . utils-marshalling.R . utils.R . uuid.R . value.R . whichIndex.R . zzz.R . zzz.plan.R .  Full future package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

bndovb  
Bounding Omitted Variable Bias Using Auxiliary Data
Functions to implement a Hwang(2021) estimator, which bounds an omitted v ...
Download / Learn more Package Citations See dependency  
cptcity  
'cpt-city' Colour Gradients
Incorporates colour gradients from the 'cpt-city' web archive available at ...
Download / Learn more Package Citations See dependency  
CPNCoverageAnalysis  
Conceptual Properties Norming Studies as Parameter Estimation
Implementation of conceptual properties norming studies, including estimates of CPNs parameters with ...
Download / Learn more Package Citations See dependency  
cleandata  
To Inspect and Manipulate Data; and to Keep Track of This Process
Functions to work with data frames to prepare data for further analysis. The functions for imputati ...
Download / Learn more Package Citations See dependency  
listcompr  
List Comprehension for R
Syntactic shortcuts for creating synthetic lists, vectors, data frames, and matrices using list com ...
Download / Learn more Package Citations See dependency  
mbmixture  
Microbiome Mixture Analysis
Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA