Snow: A parallel computing framework for the R system

International Journal of Parallel Programming

Volumn 37, Issue 1, 2009, Pages 78-90

  Tierney, Luke ^a   Rossini, A J ^b   Li, Na ^c  

^a UNIVERSITY OF IOWA   (United States)

^b NOVARTIS PHARMA AG   (Switzerland)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bootstrap; Cross validation; Distributed memory; Message passing; MPI; PVM; Sockets

Indexed keywords

BOOTSTRAP; CROSS-VALIDATION; DISTRIBUTED MEMORY; MPI; PVM; SOCKETS;

PARALLEL PROCESSING SYSTEMS; PARALLEL PROGRAMMING; PROGRAMMING THEORY;

MESSAGE PASSING;

EID: 59249098545     PISSN: 08857458     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10766-008-0077-2     Document Type: Article

References (26)

1. 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]
2. Becker, R.A., Chambers, J.M.: S: An Interactive Environment for Data Analysis and Graphics. Wadsworth (1984)
3. Becker, R.A., Chambers, J.M., Wilks, A.R.: The New S Language: A Programming Environment for Data Analysis and Graphics. Wadsworth (1988)
4. Chambers, J.M.: Programming with Data: A Guide to the S Language. Springer Verlag (1998)
5. Geist, A., Beguelin, A., Dongarra, J., Jiang, W.: PVM: Parallel Virtual Machine. MIT Press (1994)
6. Pacheco, P.: Parallel Programming with MPI. Morgan Kaufmann (1997)
7. 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]
8. 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]
9. Jones, E., et al.: SciPy: Open Source Scientific Tools for Python (2001). http://www.scipy.org/
10. REvolution Computing: NetWorkSpaces for R (2008). http://nws-r. sourceforge.net/ [R package version 1.6.3]
11. F. Pérez B. Granger 2007 IPython: A system for interactive scientific computing Comput. Sci. Eng. 9 21
12. P. L'Ecuyer R. Simard E.J. Chen W.D. Kelton 2002 An objected-oriented random-number package with many long streams and substreams Oper. Res. 50 1073
13. Sevcikova, H., Rossini, T.: Rlecuyer: R Interface to RNG with Multiple Streams (2004). http://www.r-project.org [R package version 0.1]
14. A.J. Rossini L. Tierney N. Li 2007 Simple parallel statistical computing in R J. Comput. Graph. Stat. 16 399
15. Venables, W.N., Ripley, B.D.: Modern Applied Statistics with S, 4th edn. Springer (2002)
16. R. Gentleman R. Ihaka 2000 Lexical scope in statistical computing J. Comput. Graph. Stat. 9 491
17. Davison, A., Hinkley, D.: Bootstrap Methods and Their Application. Cambridge University Press (1997)
18. Ripley, B.D., Canty, A.: boot: Bootstrap R (S-Plus) Functions (2008). http://www.r-project.org/ [R package version 1.2-31]
19. 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
20. 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]
21. NIH Biowulf Cluster: R on biowulf (2008). http://biowulf.nih.gov/apps/R. html
22. Chandra R., Menon R., Dagum L., Kohr D.: Parallel Programming in OpenMP. Morgan Kaufmann, San Fransisco (2000)
23. Sevcikova, H., Rossini, T.: snowFT: Fault tolerant simple network of workstations (2005). http://www.r-project.org/ [R package version 0.0-2]
24. Bisseling, R.H.: Parallel Scientific Computation: A Structured Approach Using BSP and MPI. Oxford (2004)
25. 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)
26. 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)