Analysis of statistical algorithms can generate workloads that run for hours, if not days, tying up a single computer. Many statisticians and data scientists write complex simulations and statistical analysis using the R statistical computing environment. Often these programs have a very long run time. Given the amount of time R programmers can spend waiting for results, it makes sense to take advantage of parallelism in the computation and the available hardware.