Science and Education Publishing American Journal of Applied Mathematics and Statistics 2333-4576 2 4 2014 08 04 A Survey of R Software for Parallel Computing 224 230 EN Esam Mahdi Department of Mathematics, Islamic University of Gaza AJAMS2014249 10.12691/ajams-2-4-9 2014 06 16 2014 07 31 2014 08 04 This article provides a summary of a selection of some of the high-performance parallel packages (libraries) available from the Comprehensive R Archive Network (CRAN) using the statistical software R. These packages can utilize multicore systems often found in modern personal computers as well as computer cluster or grid computing in order to provide linear speed up the computations in many of advanced statistical modern applications. Some illustrative R parallel codes are given in order to introduce the reader to some basic ideas about parallel programming in R packages.