Snow: A Parallel Computing Framework for the R System

Snow: A Parallel Computing Framework for the R System

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 d...

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Veröffentlicht in:International journal of parallel programming 2009-02, Vol.37 (1), p.78-90
Hauptverfasser: Tierney, Luke, Rossini, A. J, Li, Na
Format: Artikel
Sprache:eng
Schlagworte:
Analysis
Collections
Communication
Computer memory
Computer Science
Data analysis
Distributed processing
Parallel processing
Processor Architectures
Programming languages
Snow
Software Engineering/Programming and Operating Systems
Studies
Theory of Computation
Work stations
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Beschreibung
Zusammenfassung: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.
ISSN:0885-7458
1573-7640
DOI:10.1007/s10766-008-0077-2