| Port variant | std |
| Summary | Unified parallel and distributed processing |
| BROKEN | |
| Package version | 1.34.0 |
| Homepage | https://future.futureverse.org |
| Keywords | cran |
| Maintainer | CRAN Automaton |
| License | Not yet specified |
| Other variants | There are no other variants. |
| Ravenports | Buildsheet | History |
| Ravensource | Port Directory | History |
| Last modified | 09 AUG 2024, 21:24:17 UTC |
| Port created | 20 APR 2020, 20:29:45 UTC |
| 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. |
| Build (only) |
gmake:primary:std R:primary:std icu:dev:std |
| Build and Runtime |
R-digest:single:std R-globals:single:std R-listenv:single:std R-parallelly:single:std |
| Runtime (only) |
R:primary:std R:nls:std |
| main | mirror://CRAN/src/contrib https://loki.dragonflybsd.org/cranfiles/ |
| R-doFuture:std | Foreach parallelize via Future network |
| R-furrr:std | Apply Mapping Functions in Parallel using Futures |
| R-future.apply:std | Apply Function in Parallel using Futures |
| R-tsfeatures:std | Time Series Feature Extraction |
| R-tune:std | Tidy Tuning Tools |