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ListarPonencias (Ciencias de la Computación e Inteligencia Artificial) por materia "CUDA"

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      A Spiking Neural P System Simulator Based on CUDA 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Springer, 2011)
      In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics processing units (GPUs). In ...
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      An Overview of Hardware Implementations of P Systems 

      Shang, Zeyi; Verlan, Sergey; Zhang, Gexiang; Martínez del Amor, Miguel Ángel; Valencia Cabrera, Luis (Xihua University, 2017)
      Implementing the P systems on parallel hardware is a re- search highlight in bio-inspired computing since the membrane ...
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      Analysis of P systems simulation on CUDA 

      Guerrero, Ginés D.; Cecilia, José M.; García Carrasco, José M.; Martínez del Amor, Miguel Ángel; Pérez Hurtado de Mendoza, Ignacio; Pérez Jiménez, Mario de Jesús (SARTECO: Sociedad de Arquitectura y Tecnología de Computadores, 2009)
      GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor to develop many general ...
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      CuSNP: Spiking Neural P Systems Simulators in CUDA 

      Carandang, Jym Paul; Villaflores, John Matthew B.; Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (IMCS: International Membrane Computing Society, 2016)
      Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. In this work, ...
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      Nondeterminism in Spiking Neural P Systems: Algorithms and Simulations 

      Carandang, Jym Paul; Cabarle, Francis George C.; Adorna, Henry N.; Hernández, Nestine Hope S.; Martínez del Amor, Miguel Ángel (Xihua University, 2017)
      Spiking Neural P system (or SN P system) is a computing model based on the neurons in a living being. It is composed of ...
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      Optimizations in CuSNP Simulator for Spiking Neural P Systems on CUDA GPUs 

      Aboy, Blaine Corwyn D.; Bariring, Edward James A.; Carandang, Jym Paul; Cabarle, Francis George C.; Cruz, Ren Tristan de la; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (IEEE Computer Society, 2019)
      Spiking Neural P systems (in short, SNP systems) are computing models based on living neurons. SNP systems are non-deterministic ...
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      Population Dynamics P Systems on CUDA 

      Martínez del Amor, Miguel Ángel; Pérez Hurtado de Mendoza, Ignacio; Gastalver Rubio, Adolfo; Elster, Anne C.; Pérez Jiménez, Mario de Jesús (Springer, 2012)
      Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling framework, which has been ...
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      Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms 

      Macías Ramos, Luis Felipe; Martínez del Amor, Miguel Ángel; Pérez Jiménez, Mario de Jesús (Springer, 2015)
      Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems ...
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      Sparse-matrix Representation of Spiking Neural P Systems for GPUs 

      Martínez del Amor, Miguel Ángel; Orellana Martín, David; Cabarle, Francis George C.; Pérez Jiménez, Mario de Jesús; Adorna, Henry N. (Fenix Editora, 2017)
      Current parallel simulation algorithms for Spiking Neural P (SNP) systems are based on a matrix representation. This helps ...
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      Spiking Neural P System Simulations on a High Performance GPU Platform 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel; Pérez Jiménez, Mario de Jesús (Springer, 2011)
      In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator to a high performance ...