Performance evaluation of GPU parallelization, space-time adaptive algorithms, and their combination for simulating cardiac electrophysiology-Reference-Cited by-同舟云学术

Performance evaluation of GPU parallelization, space-time adaptive algorithms, and their combination for simulating cardiac electrophysiology

Published:2017-08-01 Issue:2 Volume:34 Page:e2913
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int J Numer Meth Biomed Engng

Author:

Sachetto Oliveira Rafael¹^ORCID,Martins Rocha Bernardo²^ORCID,Burgarelli Denise³,Meira Wagner⁴,Constantinides Christakis⁵,Weber dos Santos Rodrigo²

Affiliation:

1. Departamento de Ciência da Computação; Universidade Federal de São João de Rei; São João del-rei MG Brazil

2. Departamento de Ciência da Computação e Programa em Modelagem Computacional; Universidade Federal de Juiz de Fora; Juiz de Fora, MG Brazil

3. Departamento de Matemática; Universidade Federal de Minas Gerais; Belo Horizonte, MG Brazil

4. Departamento de Ciência da Computação; Universidade Federal de Minas Gerais; Belo Horizonte, MG Brazil

5. Department of Cardiovascular Medicine; U. Oxford, Oxford UK

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Universidade Federal de Juiz de Fora

Universidade Federal de São João del-rei (UFSJ)

Financiadora de Estudos e Projetos

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cnm.2913/fullpdf

Reference47 articles.

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5. Simulations of complex and microscopic models of cardiac electrophysiology powered by multi-gpu platforms;Gouvêa de Barros;Comput Math Methods Med,2012

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