Title: Parallel parameter optimization algorithm in dynamic general equilibrium models
Authors: GRUZDEV ARSENIYMELNIKOV NIKOLAIDALTON MICHAELWEITZEL MATTHIASO'NEILL BRIAN
Citation: IFAC-PapersOnLine vol. 51 no. 32 p. 562-567
Publisher: IFAC Secretariat
Publication Year: 2018
JRC N°: JRC112183
ISSN: 2405-8963 (online)
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC112183
DOI: 10.1016/j.ifacol.2018.11.482
Type: Articles in periodicals and books
Abstract: We present a parallel parameter optimization algorithm for reproducing future projections of certain model outputs in dynamic general equilibrium models. The optimization problem is reduced to a nonlinear system of equations. The Jacobian matrix for a Newton-type solver in the problem is generated in parallel. The parameter optimization algorithm is implemented for parallel systems with distributed memory by using MPI. To achieve better performance of the parallel algorithm we use the parallel Fair – Taylor algorithm for computing an equilibrium path. Calculation of prices, input-output ratios and international trade for different time steps is carried out in parallel at each iteration of the method. The solution method is implemented for parallel systems with shared memory by using OpenMP. The effectiveness of the hybrid MPI+OpenMP parallel code for parameter optimization is demonstrated in the example of a global multi-sector energy economics model with scenarios that are used for studying climate change impacts on land use.
JRC Directorate:Energy, Transport and Climate

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