Now showing items 1-18 of 18

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      A GPU Simulation for Evolution-Communication P Systems with Energy Having no Antiport Rules 

      Bangalan, Zylynn F.; Soriano, Krizia Ann N.; Juayong, Richelle Ann B.; Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Fénix Editora, 2013)
      Evolution-Communication P system with energy (ECPe systems) is a cell- like variant P system which establishes a dependence ...
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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 Improved GPU Simulator For Spiking Neural P Systems 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (IEEE Computer Society, 2011)
      Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are computing models that ...
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      Asynchronous Spiking Neural P Systems with Structural Plasticity 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús (Fénix Editora, 2015)
      Spiking neural P (in short, SNP) systems are computing devices inspired by biological spiking neurons. In this work we ...
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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 (Romanian Academy, Section for Information Science and Technology, 2017)
      Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. CuSNP is a ...
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      Improving GPU Simulations of Spiking Neural P Systems 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel; Pérez Jiménez, Mario de Jesús (Romanian Academy, 2012)
      In this work we present further extensions and improvements of a Spiking Neural P system (for short, SNP systems) simulator ...
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      Improving Simulations of Spiking Neural P Systems in NVIDIA CUDA GPUs: CuSNP 

      Carandang, Jym Paul; Villaflores, John Matthew B.; Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Fénix, 2016)
      Spiking neural P systems (in short, SN P systems) are parallel models of computations inspired by the spiking ( ring) of ...
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      Notes on Spiking Neural P Systems and Finite Automata 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús (Fénix Editora, 2015)
      Spiking neural P systems (in short, SNP systems) are membrane computing models inspired by the pulse coding of information ...
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      On the Simulations of Evolution-Communication P Systems with Energy without Antiport Rules for GPUs 

      Juayong, Richelle Ann B.; Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Fénix Editora, 2012)
      In this report, we present our initial proposal on simulating computations on a restricted variant of Evolution-Communication ...
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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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      Sequential Spiking Neural P Systems with Structural Plasticity Based on Max/Min Spike Number 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús (Springer, 2016)
      Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic computing devices inspired ...
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      Simulating Spiking Neural P Systems Without Delays Using GPUs 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Fénix Editora, 2011)
      We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neural P system (SNP system) ...
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      Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations 

      Martínez del Amor, Miguel Ángel; Orellana Martín, David; Pérez Hurtado de Mendoza, Ignacio; Cabarle, Francis George C.; Adorna, Henry N. (MDPI, 2021)
      To date, parallel simulation algorithms for spiking neural P (SNP) systems are based on a matrix representation. This ...
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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 ...
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      Spiking Neural P system without delay simulator implementation using GPGPUs 

      Cabarle, Francis George C.; Adorna, Henry N.; Martínez del Amor, Miguel Ángel (Ateneo de Naga University, 2011)
      This paper presents a parallel simulator for a type of P sys- tem known as spiking neural P system (SNP system) us- ing ...
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      Spiking Neural P Systems with Structural Plasticity 

      Cabarle, Francis George C.; Adorna, Henry N.; Pérez Jiménez, Mario de Jesús; Song, Tao (Springer, 2015)
      Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing models inspired by ...
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      Spiking Neural P Systems with Structural Plasticity: Attacking the Subset Sum Problem 

      Cabarle, Francis George C.; Hernández, Nestine Hope S.; Martínez del Amor, Miguel Ángel (Springer, 2015)
      Spiking neural P systems with structural plasticity (in short, SNPSP systems) are models of computations inspired by the ...