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2008 11th IEEE International Conference on Computational Science and Engineering
Parallelization of the Electrodiffusion Mechanism of the Computational Model of Spreading Depression
July 16-July 18
ISBN: 978-0-7695-3193-9
ASCII Text
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H. Z. Teixeira, D. J. Alvarenga, A. C. G. Almeida, A. M. Rodrigues, M. A. Duarte, "Parallelization of the Electrodiffusion Mechanism of the Computational Model of Spreading Depression," Computational Science and Engineering, IEEE International Conference on, pp. 261-266, 2008 11th IEEE International Conference on Computational Science and Engineering, 2008.
 
 
BibTex
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@article{ 10.1109/CSE.2008.12,
author = {H. Z. Teixeira and D. J. Alvarenga and A. C. G. Almeida and A. M. Rodrigues and M. A. Duarte},
title = {Parallelization of the Electrodiffusion Mechanism of the Computational Model of Spreading Depression},
journal ={Computational Science and Engineering, IEEE International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3193-9},
pages = {261-266},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSE.2008.12},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computational Science and Engineering, IEEE International Conference on
TI - Parallelization of the Electrodiffusion Mechanism of the Computational Model of Spreading Depression
SN - 978-0-7695-3193-9
SP261
EP266
A1 - H. Z. Teixeira,
A1 - D. J. Alvarenga,
A1 - A. C. G. Almeida,
A1 - A. M. Rodrigues,
A1 - M. A. Duarte,
PY - 2008
KW - Spreading Depression
KW - Electrodiffusion
KW - Computational Modeling
KW - Parallel Processing
VL - 0
JA - Computational Science and Engineering, IEEE International Conference on
ER -
 
The simulation of cerebral phenomena, such spreading depression wave (SD), involves the modeling of large-scale neuronal populations. Consequently, the processing time and the computational resource costs become elevate. The goal of this work is to apply the parallel programming techniques on the simulation of SD in a three-dimensional representation of the neuronal tissue. The model consists in the description of synaptic terminals and glial cells coupled by means of the extracellular space, where the ionic movements are described by electrodiffusion. The parallelization strategy is achieved by means of the Message Passing Interface. The code performance in a parallel environment is compared with serial processing. The results point out the model is highly parallelized and justify the use of parallel programming in this kind of modeling. Furthermore, the reproduction of the main characteristics of SD, such the propagation velocity and the extracellular ionic dynamic profiles, close to what is observed experimentally, validates the model.
Index Terms:
Spreading Depression, Electrodiffusion, Computational Modeling, Parallel Processing
Citation:
H. Z. Teixeira, D. J. Alvarenga, A. C. G. Almeida, A. M. Rodrigues, M. A. Duarte, "Parallelization of the Electrodiffusion Mechanism of the Computational Model of Spreading Depression," cse, pp.261-266, 2008 11th IEEE International Conference on Computational Science and Engineering, 2008
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