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 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 200x for some SNP systems, compared to CPU only simulations. © 2011 Springer-Verlag.
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CITATION STYLE
Cabarle, F. G., Adorna, H., Martínez-Del-Amor, M. A., & Pérez-Jiménez, M. J. (2011). Spiking neural P system simulations on a high performance GPU platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7017 LNCS, pp. 99–108). https://doi.org/10.1007/978-3-642-24669-2_10
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