Snow: A Parallel Computing Framework for the R System

Luke Tierney1, Anthony Rossini2, Na Li3
1Department of Statistics and Actuarial Science, University of Iowa, Iowa City, USA
2Modeling and Simulation, Novartis Pharma AG, Basel, Switzerland
3Division of Biostatistics, University of Minnesota, Minneapolis, USA

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Tài liệu tham khảo

R Development Core Team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2007). http://www.R-project.org [ISBN 3-900051-07-0]

Becker, R.A., Chambers, J.M.: S: An Interactive Environment for Data Analysis and Graphics. Wadsworth (1984)

Becker, R.A., Chambers, J.M., Wilks, A.R.: The New S Language: A Programming Environment for Data Analysis and Graphics. Wadsworth (1988)

Chambers, J.M.: Programming with Data: A Guide to the S Language. Springer Verlag (1998)

Geist, A., Beguelin, A., Dongarra, J., Jiang, W.: PVM: Parallel Virtual Machine. MIT Press (1994)

Pacheco, P.: Parallel Programming with MPI. Morgan Kaufmann (1997)

Li, N., Rossini, A.J.: rpvm: R Interface to PVM (Parallel Virtual Machine) (2005). http://www.r-project.org/ [R package version 0.6-5]

Yu, H.: Rmpi: Interface (wrapper) to MPI (Message-Passing Interface) (2007). http://www.stats.uwo.ca/faculty/yu/Rmpi [R package version 0.5-5]

Jones, E., et al.: SciPy: Open Source Scientific Tools for Python (2001). http://www.scipy.org/

REvolution Computing: NetWorkSpaces for R (2008). http://nws-r.sourceforge.net/ [R package version 1.6.3]

Pérez F., Granger B.: IPython: A system for interactive scientific computing. Comput. Sci. Eng. 9, 21 (2007)

L’Ecuyer P., Simard R., Chen E.J., Kelton W.D.: An objected-oriented random-number package with many long streams and substreams. Oper. Res. 50, 1073 (2002)

Sevcikova, H., Rossini, T.: Rlecuyer: R Interface to RNG with Multiple Streams (2004). http://www.r-project.org [R package version 0.1]

Rossini A.J., Tierney L., Li N.: Simple parallel statistical computing in R. J. Comput. Graph. Stat. 16, 399 (2007)

Venables, W.N., Ripley, B.D.: Modern Applied Statistics with S, 4th edn. Springer (2002)

Gentleman R., Ihaka R.: Lexical scope in statistical computing. J. Comput. Graph. Stat. 9, 491 (2000)

Davison, A., Hinkley, D.: Bootstrap Methods and Their Application. Cambridge University Press (1997)

Ripley, B.D., Canty, A.: boot: Bootstrap R (S-Plus) Functions (2008). http://www.r-project.org/ [R package version 1.2-31]

Diaz-Uriarte, R.: GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest. BMC Bioinform. 8 (2007). http://www.biomedcentral.com/1471-2105/8/328

Esarey, J., Mukherjee, B., Moore, W.H.: Strategic interaction and interstate crises: a Bayesian quantal response estimator for incomplete information games. Polit. Anal. (2008). http://pan.oxfordjournals.org/cgi/content/full/mpm037v1 [Advance Access]

NIH Biowulf Cluster: R on biowulf (2008). http://biowulf.nih.gov/apps/R.html

Chandra R., Menon R., Dagum L., Kohr D.: Parallel Programming in OpenMP. Morgan Kaufmann, San Fransisco (2000)

Sevcikova, H., Rossini, T.: snowFT: Fault tolerant simple network of workstations (2005). http://www.r-project.org/ [R package version 0.0-2]

Bisseling, R.H.: Parallel Scientific Computation: A Structured Approach Using BSP and MPI. Oxford (2004)

Hinsen, K.: High-level scientific programming in python. In: Sloot, P.M., Tan, C.K., Dongarra, J.J. Hoekstra, A.G. (eds.) Computational Science—ICCS 2002, number 2331 in Lecture Notes in Computer Science. Springer-Verlag (2002)

Loulergue, F., Benheddi, R., Gava, F., Louis-Régis, D.: Bulk synchronous parallel ML: semantics and implementation of the parallel juxtaposition. In: Grigoriev, D., Harrison, J., Hirsch E.A. (eds.) Computer Science—Theory and Applications, First International Computer Science Symposium in Russia, CSR 2006, St. Petersburg, Russia, June 8–12, 2006, Proceedings, vol. 3967 of Lecture Notes in Computer Science, pp. 475–486. Springer (2006)