Global sensitivity analysis of a large agent-based model of spatial opinion exchange : a heterogeneous multi-GPU acceleration approach

Auteur(s) et Affiliation(s)

TANG, W.

Dept. of Geography and Earth Sciences and Center for Applied GIScience, Univ. of North Carolina, Charlotte, Etats-Unis

JIA, M

Dept. of Geography and Earth Sciences and Center for Applied GIScience, Univ. of North Carolina, Charlotte, Etats-Unis

Description :
The objective focuses on the sensitivity analysis of large agent-based modeling of spatial opinion exchange, accelerated using multiple graphics processing units (GPUs). It is conducted using a variance-based approach, requiring numerous model runs for Monte Carlo integration. Experimental results indicate GPU-accelerated general-purpose computation provides an efficacious and feasible solution for the sensitivity analysis of large agent-based models. The heterogeneous parallel computing approach provides valuable insight into large-scale spatiotemporal problem solving by leveraging cyberinfrastructure-enabled computational capabilities.

Type de document :
Article de périodique

Source :
Annals of the Association of American Geographers, issn : 0004-5608, 2014, vol. 104, n°. 3, p. 485-509, nombre de pages : 25, Références bibliographiques : 3 p.

Date :
2014

Editeur :
Pays édition : Etats-Unis, Washington, DC, Association of American Geographers

Langue :
Anglais