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Econometric Model Simulation on Parallel Computers

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Author Info

  • Manfred Gilli
  • Giorgio Pauletto

Abstract

The solution of large and sparse models presents in many ways a suitable structure for implementation on parallel computers. However, efficient use of these computing devices requires that the code be specifically structured in order to exploit the particular type of parallel computer used. This article discusses the implementation of data parallel processing algorithms as well as performance results based on the solution of a macroeconometric model on a Connection Machine 2.

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Bibliographic Info

Paper provided by Département des Sciences Économiques, Université de Genève in its series Research Papers by the Department of Economics, University of Geneva with number 93.07.

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Length: 14 pages
Date of creation: 1993
Date of revision:
Handle: RePEc:gen:geneem:93.07

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Related research

Keywords: parallel computing; solution of large and sparse nonlinear systems;

References

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  1. Bianchi, Carlo & Bruno, Giuseppe & Cividini, Andrea, 1992. "Analysis of Large-Scale Econometric Models Using Supercomputer Techniques," Computer Science in Economics & Management, Society for Computational Economics, vol. 5(3), pages 271-81, August.
  2. Gilli, M & Pauletto, G & Garbely, M, 1992. "Equation Reordering for Iterative Processes--A Comment," Computer Science in Economics & Management, Society for Computational Economics, vol. 5(2), pages 147-53, May.
  3. Brayton, Flint & Mauskopf, Eileen, 1985. "The federal reserve board MPS quarterly econometric model of the US economy," Economic Modelling, Elsevier, vol. 2(3), pages 170-292, July.
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Citations

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Cited by:
  1. Wallart, N. & Burgenmeier, B., 1994. "L'acceptable des taxes incitatives en Suisse," Research Papers by the Department of Economics, University of Geneva 94.06, Département des Sciences Économiques, Université de Genève.
  2. William L. Goffe & Michael Creel, 2005. "Multi-core CPUs, Clusters and Grid Computing: a Tutorial," Computing in Economics and Finance 2005 438, Society for Computational Economics.
  3. David Hendry & Neil Shephard & Jurgen Doornik, 2003. "Parallel Computation In Econometrics: A Simplified Approach," Economics Series Working Papers 2004-W16, University of Oxford, Department of Economics.

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