CSC/ECE 506 Fall 2007/wiki2 4 md

Parallel Application: Shuffled Complex Evolution Metropolis

Overview

The scope of environmental sciences increases significantly each year. With the advancement of computer systems, more intricate (and thus realistic) models are developed every year. As with in advancement in technology, the number of parameters for computation increase each year as well. The Shuffled Complex Evolution Metropolis (SCEM-UA) algorithm is used for global optimization of the estimation of environmental models. This algorithm is then implemented in a parallel in a very user-friendly way for further optimization. The algorithm can be used for several model case studies, such as the prediction of migratory bird flight paths.

Steps of Parallelization