Three Applications of GPU Computing in Neuroscience

Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question.

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Published in:Computing in science & engineering Vol. 14; no. 3; pp. 40 - 47
Main Authors: Baladron Pezoa, Javier, Fasoli, Diego, Faugeras, Olivier
Format: Journal Article
Language:English
Published: IEEE 01.05.2012
Institute of Electrical and Electronics Engineers
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ISSN:1521-9615, 1558-366X
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Abstract Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question.
AbstractList Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that the GPU speedup considerably helps answer a scientific or technological question.
Author Faugeras, Olivier
Baladron Pezoa, Javier
Fasoli, Diego
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10.1016/j.jneumeth.2007.09.010
10.1126/science.1179867
10.1007/BF00288786
10.1145/1362622.1362627
10.1109/IPDPSW.2010.5470899
10.1098/rstb.2000.0769
10.1162/08997660360675053
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Issue 3
Keywords Visualization
scientific computing
Computational modeling
Computational neuroscience
GPUs
neuroscience
computer system
parallel and vector implementations
graphics processing units
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Numerical models
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GPU computing
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Snippet Three scenarios outlined here show the benefits of using a computer system with multiple GPUs in theoretical neuroscience. In each instance, it's clear that...
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SubjectTerms Brain modeling
Computational modeling
Computational neuroscience
General Mathematics
GPUs
Mathematical model
Mathematics
Numerical models
parallel and vector implementations
scientific computing
Visualization
Title Three Applications of GPU Computing in Neuroscience
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