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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 <<a href="https://doi.org/10.32614%2FRJ-2021-048" target="_top">doi:10.32614/RJ-2021-048</a>>. 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 recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
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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 <<a href="https://doi.org/10.32614%2FRJ-2021-048" target="_top">doi:10.32614/RJ-2021-048</a>>. 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 recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
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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 <<a href="https://doi.org/10.32614%2FRJ-2021-048" target="_top">doi:10.32614/RJ-2021-048</a>>. 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 recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
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9- titleCRAN: Package doFuture
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- citation_titleUse Foreach to Parallelize via the Future Framework [R package doFuture version 1.1.2]
- citation_authorHenrik Bengtsson
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5- og:titledoFuture: Use Foreach to Parallelize via the Future Framework
- og:descriptionThe 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <<a href="https://doi.org/10.32614%2FRJ-2021-048" target="_top">doi:10.32614/RJ-2021-048</a>>. 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 recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
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- https://doi.org/10.32614%2FRJ-2021-048
- https://doi.org/10.32614/CRAN.package.doFuture