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

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Installation

# install.packages("devtools")
devtools::install_github("caravagnalab/easypar")

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Copyright and contacts

Cancer Data Science (CDS) Laboratory, University of Trieste, Italy.