Running Simulations Faster on Multi-Processor or 64-Bit PCs via GEMPACK
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Other versions of this item:
- Horridge, J. Mark & Pearson, Ken, 2006. "Running Simulations Faster on Multi-Processor or 64-Bit PCs via GEMPACK," Conference papers 331467, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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Cited by:
- van der Mensbrugghe, Dominique, 2023. "Using Python for Parallelization," GTAP Working Papers 6826, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
- van der Mensbrugghe, Dominique, 2023. "Using Python for Parallelization," GTAP Technical Papers 6826, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
- Van Ha, Pham & Kompas, Tom, 2016. "Solving intertemporal CGE models in parallel using a singly bordered block diagonal ordering technique," Economic Modelling, Elsevier, vol. 52(PA), pages 3-12.
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Keywords
GEMPACK software; Multi-Processor;JEL classification:
- C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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