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Software for parallel computing: the LAM implementation of MPI

  • Christopher A. Swann

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

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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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. 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.
  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, March.
  4. Wilbur John Coleman II, 1992. "Solving nonlinear dynamic models on parallel computers," Discussion Paper / Institute for Empirical Macroeconomics 66, Federal Reserve Bank of Minneapolis.
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