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R is a robust open-source programming language mainly used for statisticalcomputing . Many areas of statistical research are experiencing rapid growth inthe size of data sets. Methodological advances drive increased use ofsimulations. A common approach is to use parallel/concurrent computing. Thispaper presents an overview of techniques for parallel computing with R on ACI(a PSU Infrastructure) and benchmark it with C/C++. We review the scalabiltyconcern of R, and look at the simplicity of using R as a primary language inCoding 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 willillustrate each benchmark with a representative graph for ease ofunderstanding. The paper concludes with a better understanding of whichlanguage to use when in high performance computing .

Exploring and Benchmarking High Performance & Scientific Computing using R R HPC Packages and Lower level compiled languages A Comparative Study