Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/320169
Type: Resenha
Title: Numerical Characterization Of Nonlinear Dynamical Systems Using Parallel Computing: The Role Of Gpus Approach
Author: Fazanaro
FI; Soriano
DC; Suyama
R; Madrid
MK; de Oliveira
JR; Munoz
IB; Attux
R
Abstract: The characterization of nonlinear dynamical systems and their attractors in terms of invariant measures, basins of attractions and the structure of their vector fields usually outlines a task strongly related to the underlying computational cost. In this work, the practical aspects related to the use of parallel computing - specially the use of Graphics Processing Units (CPUs) and of the Compute Unified Device Architecture (CUDA) - are reviewed and discussed in the context of nonlinear dynamical systems characterization. In this work such characterization is performed by obtaining both local and global Lyapunov exponents for the classical forced Duffing oscillator. The local divergence measure was employed by the computation of the Lagrangian Coherent Structures (LCSs), revealing the general organization of the flow according to the obtained separatrices, while the global Lyapunov exponents were used to characterize the attractors obtained under one or more bifurcation parameters. These simulation sets also illustrate the required computation time and speedup gains provided by different parallel computing strategies, justifying the employment and the relevance of GPUs and CUDA in such extensive numerical approach. Finally, more than simply providing an overview supported by a representative set of simulations, this work also aims to be a unified introduction to the use of the mentioned parallel computing tools in the context of nonlinear dynamical systems, providing codes and examples to be executed in MATLAB and using the CUDA environment, something that is usually fragmented in different scientific communities and restricted to specialists on parallel computing strategies. (C) 2016 Elsevier B.V. All rights reserved.
Subject: Chaos
Cuda
Duffing Oscillator
Cpu Computing
Lagrangian Coherent Structures
Lyapunov Bifurcation Diagram
Lyapunov Exponents
Parallel Computing
Parameter Space
Editor: ELSEVIER SCIENCE BV
Rights: fechado
Identifier DOI: 10.1016/j.cnsns.2015.12.0211007
Address: http://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S1007570416000071
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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