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Software for parallel computing: the LAM implementation of MPI

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  • Christopher A. Swann

    (Department of Economics, SUNY-Stony Brook, Stony Brook,NY 11794, USA)

Abstract

Many econometric problems can benefit from the application of parallel computing techniques, and recent advances in hardware and software have made such application feasible. There are a number of freely available software libraries that make it possible to write message passing parallel programs using personal computers or Unix workstations. This review discusses one of these-the LAM (Local Area Multiprocessor) implementation of MPI (the Message Passing Interface). Copyright © 2001 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 16 (2001)
Issue (Month): 2 ()
Pages: 185-194

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Handle: RePEc:jae:japmet:v:16:y:2001:i:2:p:185-194

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  1. Coleman, Wilbur John, II, 1993. "Solving Nonlinear Dynamic Models on Parallel Computers," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 325-30, July.
  2. Liu, Chuanhai & Rubin, Donald B., 1996. "Markov-Normal analysis of iterative simulations before their convergence," Journal of Econometrics, Elsevier, vol. 75(1), pages 69-78, November.
  3. Hans M. Amman & David A. Kendrick, . "Computational Economics," Online economics textbooks, SUNY-Oswego, Department of Economics, number comp1, January.
  4. Nagurney, Anna, 1996. "Parallel computation," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 7, pages 335-404 Elsevier.
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Cited by:
  1. Christopher Ferrall, 2005. "Solving Finite Mixture Models: Efficient Computation in Economics Under Serial and Parallel Execution," Computational Economics, Society for Computational Economics, vol. 25(4), pages 343-379, June.
  2. 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.

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