doFuture: Use Foreach to Parallelize via the Future Framework
The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The first is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework. The other alternative is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'.
| Version: |
1.0.0 |
| Depends: |
foreach (≥ 1.5.0), future (≥ 1.32.0) |
| Imports: |
future.apply, globals, iterators, parallel, utils |
| Suggests: |
doRNG (≥ 1.8.2), markdown, R.rsp |
| Published: |
2023-03-24 |
| Author: |
Henrik Bengtsson [aut, cre, cph] |
| Maintainer: |
Henrik Bengtsson <henrikb at braju.com> |
| BugReports: |
https://github.com/HenrikBengtsson/doFuture/issues |
| License: |
LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] |
| URL: |
https://doFuture.futureverse.org,
https://github.com/HenrikBengtsson/doFuture |
| NeedsCompilation: |
no |
| Citation: |
doFuture citation info |
| Materials: |
NEWS |
| In views: |
HighPerformanceComputing |
| CRAN checks: |
doFuture results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
antaresEditObject, envi, funGp, fxTWAPLS, hwep, kergp, latentcor, LWFBrook90R, multilevelcoda, nebula, pareg, remiod, rpm, SharkDemography, skpr, sparrpowR, sphunif, ssdtools, tglkmeans, updog, vmeasur, WeightedCluster |
| Reverse suggests: |
bhmbasket, ISAnalytics, kernelshap, ldsr, mikropml, momentuHMM, mslp, oncomsm, progressr, projpred, robust2sls, semPower, sRACIPE |
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