  R is a robust open-source programming language mainly used for statistical
computing . Many areas of statistical research are experiencing rapid growth in
the size of data sets. Methodological advances drive increased use of
simulations. A common approach is to use parallel/concurrent computing. This
paper presents an overview of techniques for parallel computing with R on ACI
(a PSU Infrastructure) and benchmark it with C/C++. We review the scalabilty
concern of R, and look at the simplicity of using R as a primary language in
Coding for HPC. We will look at the various R packages for HPC like Rmpi, Rcpp,
snow and snowfall. We utilize a series of algorithms to benchmark and will
illustrate each benchmark with a representative graph for ease of
understanding. The paper concludes with a better understanding of which
language to use when in high performance computing .
