Cabarle, Francis George C.Adorna, Henry N.Martínez del Amor, Miguel ÁngelPérez Jiménez, Mario de Jesús2018-10-302018-10-302012Cabarle, F.G.C., Adorna, H.N., Martínez del Amor, M.Á. y Pérez Jiménez, M.d.J. (2012). Improving GPU Simulations of Spiking Neural P Systems. Romanian Journal of Information Science and Technology, 15 (1), 5-20.https://hdl.handle.net/11441/79693In this work we present further extensions and improvements of a Spiking Neural P system (for short, SNP systems) simulator on graphics processing units (for short, GPUs). Using previous results on representing SNP system computations using linear algebra, we analyze and implement a compu- tation simulation algorithm on the GPU. A two-level parallelism is introduced for the computation simulations. We also present a set of benchmark SNP sys- tems to stress test the simulation and show the increased performance obtained using GPUs over conventional CPUs. For a 16 neuron benchmark SNP system with 65536 nondeterministic rule selection choices, we report a 2.31 speedup of the GPU-based simulations over CPU-based simulations.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Membrane ComputingSpiking neural networkSpiking Neural P systemsGPU ComputingCUDAinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess