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.
- Version1.34.0
- R versionunknown
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?No
- future citation info
- Last release07/29/2024
Documentation
- VignetteA Future for R: A Comprehensive Overview
- VignetteA Future for R: Text and Message Output
- VignetteA Future for R: Future Topologies
- VignetteA Future for R: Common Issues with Solutions
- VignetteA Future for R: Non-Exportable Objects
- VignetteA Future for R: Controlling Default Future Strategy
- VignetteA Future for R: Future API Backend Specification
- VignetteA Future for R: Best Practices for Package Developers
- VignetteA Future for R: How the Future Framework is Validated
- MaterialNEWS
- In ViewsHighPerformanceComputing
Team
Henrik Bengtsson
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- Imports4 packages
- Suggests4 packages
- Reverse Depends13 packages
- Reverse Imports204 packages
- Reverse Suggests124 packages
- Reverse Enhances1 package