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https://dofuture.futureverse.org/

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 <doi:10.32614/RJ-2021-048>. 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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Use Foreach to Parallelize via the Future Framework

https://dofuture.futureverse.org/

The future package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. 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://dofuture.futureverse.org/

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 <doi:10.32614/RJ-2021-048>. 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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      The future package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. 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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