Implicit and Explicit Parallel Computing in R

Luke Tierney
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Luke Tierney: Department of Statistics and Actuarial Science University of Iowa

A chapter in COMPSTAT 2008, 2008, pp 43-51 from Springer

Abstract: 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.

Keywords: shared memory parallel computing; distributed memory parallel computing; vectorized arithmetic (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2084-3_4

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DOI: 10.1007/978-3-7908-2084-3_4

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