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Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility

Author

Listed:
  • Michael S. Delgado

    (Department of Agricultural Economics, Purdue University)

  • Christopher F. Parmeter

    (Department of Economics, University of Miami)

Abstract

No abstract is available for this item.

Suggested Citation

  • Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility," Working Papers 2013-06, University of Miami, Department of Economics.
  • Handle: RePEc:mia:wpaper:2013-06
    as

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    File URL: http://bus.miami.edu/_assets/files/repec/WP2013-06.pdf
    File Function: First version, 2013
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Swann, Christopher A, 2002. "Maximum Likelihood Estimation Using Parallel Computing: An Introduction to MPI," Computational Economics, Springer;Society for Computational Economics, vol. 19(2), pages 145-178, April.
    4. 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.
    5. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847.
    6. Michael Creel, 2005. "User-Friendly Parallel Computations with Econometric Examples," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 107-128, October.
    7. Evan Meredith & Jeffrey S. Racine, 2009. "Towards reproducible econometric research: the Sweave framework," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 366-374, March.
    8. 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.
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    Cited by:

    1. Delgado, Michael S. & Parmeter, Christopher F., 2014. "A simple estimator for partial linear regression with endogenous nonparametric variables," Economics Letters, Elsevier, vol. 124(1), pages 100-103.

    More about this item

    Keywords

    Parallel processing; reproducibility; computational efficiency; bootstrap; nonlinear optimization; Monte Carlo;

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