Solving Nonlinear Dynamic Models on Parallel Computers
AbstractThis paper describes an algorithm that takes advantage of parallel computing to solve discrete-time recursive systems that have an endogenous state variable. The algorithm is shown to work well on a CRAY X-MP vector processor as well as on a network of stand-alone workstations that simulates a multiprocessor computer.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 11 (1993)
Issue (Month): 3 (July)
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Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
Other versions of this item:
- Wilbur John Coleman II, 1992. "Solving nonlinear dynamic models on parallel computers," Discussion Paper / Institute for Empirical Macroeconomics 66, Federal Reserve Bank of Minneapolis.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John Coleman, Wilbur II & Gilles, Christian & Labadie, Pamela, 1992.
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1618, National Bureau of Economic Research, Inc.
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- Ayse Imrohoroglu & Edward C. Prescott, 1991. "Evaluating the welfare effects of alternative monetary arrangements," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Sum, pages 3-10.
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- Mathur, Sudhanshu & Morozov, Sergei, 2009. "Massively Parallel Computation Using Graphics Processors with Application to Optimal Experimentation in Dynamic Control," MPRA Paper 16721, University Library of Munich, Germany.
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