Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility
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Bibliographic InfoPaper provided by University of Miami, Department of Economics in its series Working Papers with number 2013-06.
Length: 23 pages
Date of creation: 17 Jan 2013
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Parallel processing; reproducibility; computational efficiency; bootstrap; nonlinear optimization; Monte Carlo;
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- Christopher A. Swann, 2001. "Software for parallel computing: the LAM implementation of MPI," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 185-194.
- Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Society for Computational Economics, vol. 26(2), pages 107-128, October.
- Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
- Michael Creel, 2007. "I ran four million probits last night: HPC clustering with ParallelKnoppix," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 215-223.
- Swann, Christopher A, 2002. "Maximum Likelihood Estimation Using Parallel Computing: An Introduction to MPI," Computational Economics, Society for Computational Economics, vol. 19(2), pages 145-78, April.
- Manuel Eugster & Jochen Knaus & Christine Porzelius & Markus Schmidberger & Esmeralda Vicedo, 2011. "Hands-on tutorial for parallel computing with R," Computational Statistics, Springer, vol. 26(2), pages 219-239, June.
- Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2011. "npRmpi: A package for parallel distributed kernel estimation in R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 344-349, March.
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