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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Vydáno v:Computing in science & engineering Ročník 14; číslo 3; s. 40 - 47
Hlavní autoři: Baladron Pezoa, Javier, Fasoli, Diego, Faugeras, Olivier
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.05.2012
Institute of Electrical and Electronics Engineers
Témata:
Brain modeling
Computational modeling
Computational neuroscience
General Mathematics
GPUs
Mathematical model
Mathematics
Numerical models
parallel and vector implementations
scientific computing
Visualization
Visualization
scientific computing
Computational modeling
Computational neuroscience
GPUs
neuroscience
computer system
parallel and vector implementations
graphics processing units
Brain modeling
Numerical models
Mathematical model
GPU computing
ISSN:1521-9615, 1558-366X
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Shrnutí: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.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2011.119