README.md
In caravagn/easypar: Easy parallaleization of R functions.
easypar 
easypar makes it easy to implement parallel computations in R. If youo
have a function that carries out your desired computation, easypar
will take care of the burden of turning that function into a runnable
parallel piece of R code. The package offers two possible solutions for
parallelisation. It can generate a parallel function call exploiting the
foreach and doParallel paradigms for parallel computing, or can
generate a ready-to-use array job for the popular LSF (Platform Load
Sharing Facility) and Slurm workload manages for distributed high
performance computing. With easypar, speeding up R computations
through parallelism is a trivial task.
Help and support
Installation
# install.packages("devtools")
devtools::install_github("caravagnalab/easypar")
Copyright and contacts
Cancer Data Science (CDS) Laboratory, University of Trieste, Italy.
caravagn/easypar documentation built on June 4, 2022, 4:25 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
easypar
easypar makes it easy to implement parallel computations in R. If youo
have a function that carries out your desired computation, easypar
will take care of the burden of turning that function into a runnable
parallel piece of R code. The package offers two possible solutions for
parallelisation. It can generate a parallel function call exploiting the
foreach and doParallel paradigms for parallel computing, or can
generate a ready-to-use array job for the popular LSF (Platform Load
Sharing Facility) and Slurm workload manages for distributed high
performance computing. With easypar, speeding up R computations
through parallelism is a trivial task.
Help and support
Installation
# install.packages("devtools")
devtools::install_github("caravagnalab/easypar")
Copyright and contacts
Cancer Data Science (CDS) Laboratory, University of Trieste, Italy.
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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