Snow: a parallel computing framework for the R system

Authors:
Luke Tierney;A. J. Rossini;Na Li
Affiliations:
Department of Statistics and Actuarial Science, University of Iowa, Iowa City, IA;Modeling and Simulation, Novartis Pharma AG, Basel, Switzerland;Division of Biostatistics, University of Minnesota, Minneapolis, MN
Venue:
International Journal of Parallel Programming
Year:
2009

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Abstract

This paper presents a simple parallel computing framework for the statistical programming language R. The system focuses on parallelization of familiar higher level mapping functions and emphasizes simplicity of use in order to encourage adoption by a wide range of R users. The paper describes the design and implementation of the system, outlines examples of its use, and presents some possible directions for future developments.