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|Title:||A Note on Parallelizing the Parameterized Expectations Algorithm|
|Series/Report no.:||UFAE and IAE Working Papers|
|Abstract:||The parameterized expectations algorithm (PEA) involves a long simulation and a nonlinear least squares (NLS) fit, both embedded in a loop. Both steps are natural candidates for parallelization. This note shows that parallelization can lead to important speedups for the PEA. I provide example code for a simple model that can serve as a template for parallelization of more interesting models, as well as a download link for an image of a bootable CD that allows creation of a cluster and execution of the example code in minutes, with no need to install any software.|
|Appears in Collections:||(IAE) Informes y documentos de trabajo|
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