Rhpc-package: Rhpc: MPI-based apply-style parallel computing for R
In Rhpc: Apply-Style Dispatch for High-Performance Computing
Rhpc-package R Documentation
Rhpc: MPI-based apply-style parallel computing for R
Description
Provides MPI-aware apply-style functions and worker utilities for high-performance computing in R.
Details
The Rhpc package offers MPI-aware versions of common apply-style functions and helper utilities for distributed computation.
It supports both static worker configuration and dynamic process generation.
Main functions:
Rhpc_initializeInitialize MPI environment
Rhpc_getHandleGet communicator handle to workers
Rhpc_lapply, Rhpc_lapplyLBParallel lapply variants
Rhpc_sapply, Rhpc_sapplyLBParallel sapply variants
Rhpc_applyParallel apply for arrays/matrices
Rhpc_worker_callCall functions on workers
Rhpc_worker_nobackCall functions without waiting for results on workers
Rhpc_ExportExport variables to workers
Rhpc_setupRNGSetup random number generators
Rhpc_finalizeClean up MPI environment
MPI-related options are exposed through getOption(): Rhpc.mpi.c.comm, Rhpc.mpi.f.comm, Rhpc.mpi.rank, and Rhpc.mpi.procs.
See https://github.com/e-nakama/Rhpc for more information and examples.
Rhpc documentation built on Aug. 4, 2026, 1:07 a.m.
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| Rhpc-package | R Documentation |
Rhpc: MPI-based apply-style parallel computing for R
Description
Provides MPI-aware apply-style functions and worker utilities for high-performance computing in R.
Details
The Rhpc package offers MPI-aware versions of common apply-style functions and helper utilities for distributed computation. It supports both static worker configuration and dynamic process generation.
Main functions:
Rhpc_initializeInitialize MPI environment
Rhpc_getHandleGet communicator handle to workers
Rhpc_lapply,Rhpc_lapplyLBParallel lapply variants
Rhpc_sapply,Rhpc_sapplyLBParallel sapply variants
Rhpc_applyParallel apply for arrays/matrices
Rhpc_worker_callCall functions on workers
Rhpc_worker_nobackCall functions without waiting for results on workers
Rhpc_ExportExport variables to workers
Rhpc_setupRNGSetup random number generators
Rhpc_finalizeClean up MPI environment
MPI-related options are exposed through getOption(): Rhpc.mpi.c.comm, Rhpc.mpi.f.comm, Rhpc.mpi.rank, and Rhpc.mpi.procs.
See https://github.com/e-nakama/Rhpc for more information and examples.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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