In this section, we will show you how to take advantage of multiple cores with R. We will show you how to perform a shared memory single system with multiple cores approach. This is the simplest parallel technique you can implement.
A deep look at various parallelization mechanisms available in R can be found in Theubl's doctoral thesis, Applied High Performance Computing Using R, by Wirtschafts Universitat, 2007.
Implementing parallel programs with R has become increasingly easier with time since it's a topic of much interest, and many people have provided, and continue to provide, better ways of doing so. Currently, there are over 70 packages in CRAN that provide some kind of parallelization functionality. ...
