Template-type: ReDif-Paper 1.0
Author-Name: Baştürk, N.
Author-workplace-name: Quantitative Economics
Author-Name: Grassi, S.
Author-Name: Hoogerheide, L.
Author-Name: van Dijk, H.K.
Title: Parallelization experience with four canonical econometric models using ParMitISEM
Abstract: This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel MitISEM. The basic MitISEM algorithm, introduced by Hoogerheide et al. (2012), provides an automatic and flexible method to approximate a non-elliptical target density using adaptive mixtures of Student-t densities, where only a kernel of the target density is required. The approximation can be used as a candidate density in Importance Sampling or Metropolis Hastings methods for Bayesian inference on model parameters and probabilities. We present and discuss four canonical econometric models using a Graphics Processing Unit and a multi-core Central Processing Unit version of theMitISEM algorithm. The results show that the parallelization of the MitISEM algorithm on Graphics Processing Units and multi-core Central Processing Units is straightforward and fast to program using MATLAB. Moreover the speed performance of the Graphics Processing Unit version is much higher than the Central Processing Unit one.
Series: GSBE Research Memoranda
Creation-Date: 20160101
Number: 013
File-URL: https://cris.maastrichtuniversity.nl/ws/files/1437403/guid-449439a1-b40c-4ca7-a655-2d759f0fb1b2-ASSET1.0.pdf
File-Format: application/pdf
File-Size: 1496782
Handle: Repec:unm:umagsb:2016013
DOI: 10.26481/umagsb.2016013