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.
# install.packages("devtools")
devtools::install_github("caravagnalab/easypar")Cancer Data Science (CDS) Laboratory, University of Trieste, Italy.
