García Mollá, VM.; Liberos Mascarell, A.; Vidal Maciá, AM.; Guillem Sánchez, MS.; Millet Roig, J.; González Salvador, A.; Martínez Zaldívar, FJ.... (2014). Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units. Computers in Biology and Medicine. 44:15-26. https://doi.org/10.1016/j.compbiomed.2013.10.023
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39864
Title:
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Adaptive step ODE algorithms for the 3D simulation of electric heart activity with graphics processing units
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Author:
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García Mollá, Víctor Manuel
Liberos Mascarell, Alejandro
Vidal Maciá, Antonio Manuel
Guillem Sánchez, María Salud
Millet Roig, José
González Salvador, Alberto
Martínez Zaldívar, Francisco José
Climent, Andreu M.
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
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Issued date:
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Abstract:
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In this paper we studied the implementation and performance of adaptive step methods for large
systems of ordinary differential equations systems in graphics processing units, focusing on the
simulation of three-dimensional ...[+]
In this paper we studied the implementation and performance of adaptive step methods for large
systems of ordinary differential equations systems in graphics processing units, focusing on the
simulation of three-dimensional electric cardiac activity. The Rush-Larsen method was applied in all
the implemented solvers to improve efficiency. We compared the adaptive methods with the fixed step
methods, and we found that the fixed step methods can be faster while the adaptive step methods are
better in terms of accuracy and robustness.
(c) 2013 Elsevier Ltd. All rights reserved.
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Subjects:
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Adaptive ODE solvers
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Embedded Runge-Kutta methods
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GPU computing
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Cardiac electrophysiology
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Rush-Larsen method
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Computers in Biology and Medicine. (issn:
0010-4825
)
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DOI:
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10.1016/j.compbiomed.2013.10.023
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.compbiomed.2013.10.023
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Project ID:
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info:eu-repo/grantAgreement/UPV//PAID-05-12/
info:eu-repo/grantAgreement/UPV//PAID-06-11/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/
info:eu-repo/grantAgreement/GVA//GV%2F2012%2F039/
info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/
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Thanks:
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This work has been partially funded by Universitat Politecnica de Valencia through Programa de Apoyo a la InvestigaciOn y Desarrollo (PAID-06-11) and (PAID-05-12), by Generalitat Valenciana through projects PROMETEO/2009/013 ...[+]
This work has been partially funded by Universitat Politecnica de Valencia through Programa de Apoyo a la InvestigaciOn y Desarrollo (PAID-06-11) and (PAID-05-12), by Generalitat Valenciana through projects PROMETEO/2009/013 and Ayudas para la realizacion de proyectos de I+D para grupos de investigacion emergentes GV/2012/039, and by Ministerio Espafiol de Economia y Competitividad through project TEC2012-38142-004.
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Type:
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Artículo
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