A spiking neural p system simulator based on CUDA

Authors:
Francis George C. Cabarle;Henry Adorna;Miguel A. Martínez
Affiliations:
Algorithms & Complexity Lab, Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines;Algorithms & Complexity Lab, Department of Computer Science, University of the Philippines Diliman, Quezon City, Philippines;Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, Sevilla, Spain
Venue:
CMC'11 Proceedings of the 12th international conference on Membrane Computing
Year:
2011

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Abstract

In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics processing units (GPUs). In particular we implement the simulator using NVIDIA CUDA enabled GPUs. The massively parallel architecture of current GPUs is very suitable for the maximally parallel computations of SNP systems. We simulate a wider variety of SNP systems, after presenting a previous work on SNP system matrix representation which led to their simulation in GPUs, and the simulation algorithm included here. Finally, we compare and present the performance speedups of the CPU-GPU based simulator over the CPU only simulator.