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(Article of periodic en Anglais - 2014)

Document title

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

Authors(s) and Affiliation(s)

TANG W. (1) ; JIA M (1) ;
(1) Dept. of Geography and Earth Sciences and Center for Applied GIScience, Univ. of North Carolina, Charlotte, ETATS-UNIS

Abstract

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

Source

Article of periodic

published at : Annals of the Association of American Geographers / ISSN 0004-5608 / CODEN AAAGAK

Editor : Association of American Geographers, Washington, DC - ETATS-UNIS (1911)

Millesime : 2014, vol. 104, no3 [pp. 485-509]

Bibliographic references : 3 p.

Collation : 15 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 5096

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1080/00045608.2014.892342

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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