Speed Up Macroeconomic Modeling with MATLAB and Parallel Computing

Analysts and researchers increasingly face demands to accelerate the estimation of large-scale macroeconomic models such as DSGE and BVARs, and to efficiently manage multiple model runs. This session addresses these challenges by exploring strategies for using parallel computing to reduce estimation times and streamline workflows for a range of models, including those based on Dynare. Key topics include the application of parallel computing in optimization and estimation, orchestrating simultaneous runs, and systematically tracking the inputs and outputs of each run—enabling users to revisit and reproduce past experiments as needed. Attendees will gain practical insights and step-by-step guidance for implementing these solutions.