COMPSTAT 2008

Abstract

This paper outlines two approaches to introducing parallel computing to the R statistical computing environment. The first approach is based on implicitly parallelizing basic R operations, such as vectorized arithmetic operations; this is suitable for taking advantage of multi-core processors with shared memory. The second approach is based on developing a small set of explicit parallel computation directives and is most useful in a distributed memory framework.