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Computing in Science & Engineering
Article . 2012 . Peer-reviewed
License: IEEE Copyright
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Article . 2012
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Article . 2012
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Three Applications of GPU Computing in Neuroscience

Authors: Javier Baladron Pezoa; Diego Fasoli; Olivier D. Faugeras;

Three Applications of GPU Computing in Neuroscience

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.

Country
France
Keywords

Brain modeling, GPUs, Numerical models, computer system, Computational modeling, [MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM], GPU computing, neuroscience, Mathematical model, scientific computing, graphics processing units, Computational neuroscience, parallel and vector implementations, Visualization

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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