Support for Parallel Computation in R


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Documentation for package ‘parallel’ version 4.3.3

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parallel-package Support for Parallel Computation
children Low-level Functions for Management of Forked Processes
clusterApply Apply Operations using Clusters
clusterApplyLB Apply Operations using Clusters
clusterCall Apply Operations using Clusters
clusterEvalQ Apply Operations using Clusters
clusterExport Apply Operations using Clusters
clusterMap Apply Operations using Clusters
clusterSetRNGStream Implementation of Pierre L'Ecuyer's RngStreams
clusterSplit Apply Operations using Clusters
detectCores Detect the Number of CPU Cores
getDefaultCluster Create a Parallel Socket Cluster
makeCluster Create a Parallel Socket Cluster
makeForkCluster Create a Parallel Socket Cluster
makePSOCKcluster Create a Parallel Socket Cluster
mc.reset.stream Implementation of Pierre L'Ecuyer's RngStreams
mcaffinity Get or Set CPU Affinity Mask of the Current Process
mccollect Evaluate an R Expression Asynchronously in a Separate Process
mcexit Fork a Copy of the Current R Process
mcfork Fork a Copy of the Current R Process
mckill Low-level Functions for Management of Forked Processes
mclapply Parallel Versions of 'lapply' and 'mapply' using Forking
mcMap Parallel Versions of 'lapply' and 'mapply' using Forking
mcmapply Parallel Versions of 'lapply' and 'mapply' using Forking
mcparallel Evaluate an R Expression Asynchronously in a Separate Process
nextRNGStream Implementation of Pierre L'Ecuyer's RngStreams
nextRNGSubStream Implementation of Pierre L'Ecuyer's RngStreams
parallel Support for Parallel Computation
parApply Apply Operations using Clusters
parCapply Apply Operations using Clusters
parLapply Apply Operations using Clusters
parLapplyLB Apply Operations using Clusters
parRapply Apply Operations using Clusters
parSapply Apply Operations using Clusters
parSapplyLB Apply Operations using Clusters
pvec Parallelize a Vector Map Function using Forking
readChild Low-level Functions for Management of Forked Processes
readChildren Low-level Functions for Management of Forked Processes
R_PARALLEL_PORT Create a Parallel Socket Cluster
selectChildren Low-level Functions for Management of Forked Processes
sendChildStdin Low-level Functions for Management of Forked Processes
sendMaster Low-level Functions for Management of Forked Processes
setDefaultCluster Create a Parallel Socket Cluster
splitIndices Divide Tasks for Distribution in a Cluster
stopCluster Create a Parallel Socket Cluster