Ponencia
An Improved GPU Simulator For Spiking Neural P Systems
Autor/es | Cabarle, Francis George C.
Adorna, Henry N. Martínez del Amor, Miguel Ángel |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2011 |
Fecha de depósito | 2019-05-28 |
Publicado en |
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ISBN/ISSN | 978-1-4577-1092-6 |
Resumen | Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are computing models that acquire abstraction and inspiration from the way neurons 'compute' or process information. Similar to ... Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are computing models that acquire abstraction and inspiration from the way neurons 'compute' or process information. Similar to other P system variants, SNP systems are Turing complete models that by nature compute non-deterministically and in a maximally parallel manner. P systems usually trade (often exponential) space for (polynomial to constant) time. Due to this nature, P system variants are currently limited to parallel simulations, and several variants have already been simulated in parallel devices. In this paper we present an improved SNP system simulator based on graphics processing units (GPUs). Among other reasons, current GPUs are architectured for massively parallel computations, thus making GPUs very suitable for SNP system simulation. The computing model, hardware/software considerations, and simulation algorithm are presented, as well as the comparisons of the CPU only and CPU-GPU based simulators. |
Identificador del proyecto | TIN2009–13192
P08-TIC-04200 |
Cita | Cabarle, F.G.C., Adorna, H.N. y Martínez del Amor, M.Á. (2011). An Improved GPU Simulator For Spiking Neural P Systems. En BIC-TA 2011: 6th International Conference on Bio-Inspired Computing: Theories and Applications (262-267), Penang, Malaysia: IEEE Computer Society. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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An Improved GPU Simulator.pdf | 253.8Kb | [PDF] | Ver/ | |