Presentation
Spiking Neural P System Simulations on a High Performance GPU Platform
Author/s | Cabarle, Francis George C.
Adorna, Henry N. Martínez del Amor, Miguel Ángel Pérez Jiménez, Mario de Jesús |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2011 |
Deposit Date | 2018-02-22 |
Published in |
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ISBN/ISSN | 978-3-642-24668-5 0302-9743 |
Abstract | In this paper we present our results in adapting a Spiking
Neural P system (SNP system) simulator to a high performance graphics
processing unit (GPU) platform. In particular, we extend our simulations
to larger and ... In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator to a high performance graphics processing unit (GPU) platform. In particular, we extend our simulations to larger and more complex SNP systems using an NVIDIA Tesla C1060 GPU. The C1060 is manufactured for high performance computing and massively parallel computations, matching the maximally parallel nature of SNP systems. Using our GPU accelerated simulations we present speedups of around 200× for some SNP systems, compared to CPU only simulations. |
Funding agencies | Junta de Andalucía Ministerio de Educación y Ciencia (MEC). España |
Project ID. | P08–TIC-04200
TIN2009–13192 |
Citation | Cabarle, F.G.C., Adorna, H.N., Martínez del Amor, M.Á. y Pérez Jiménez, M.d.J. (2011). Spiking Neural P System Simulations on a High Performance GPU Platform. En ICA3PP 2011: 11th International Conference on Algorithms and Architectures for Parallel Processing (99-108), Melbourne, Australia: Springer. |
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