Parallel Computing with the R Language in a Supercomputing Environment

Markus Schmidberger () and Ulrich Mansmann ()
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Markus Schmidberger: Ludwig-Maximilians-Universität München, Division of Biometrics and Bioinformatics, IBE
Ulrich Mansmann: Ludwig-Maximilians-Universität München, Division of Biometrics and Bioinformatics, IBE

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2009, 2010, pp 769-780 from Springer

Abstract: Abstract R is an open-source programming language and software environment for statistical computing and graphics. During the last decade a great deal of research has been conducted on parallel computing techniques with the R language. Two packages (snow and Rmpi) stand out as particularly useful for general use on computer clusters and the multicore package for the use on multi-core machines. This article describes the operation of the R language at the supercomputer HLRB2 hosted at the Leibniz-Rechenzentrum in Munich, Germany. Additional, a small benchmark is provided and the article explains and discusses two parallel biostatistical applications calculated at the HLRB2. The indirect comparison of interaction graph example outlines the requirements for more than 10.000 processors.

Keywords: Parallel Computing; Indirect Comparison; Interaction Graph; Multicore Package; Parallel Computing Technique (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-13872-0_64

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