Artículo
An Overview of Hardware Implementation of Membrane Computing Models
Autor/es | Zhang, Gexiang
Shang, Zeyi Verlan, Sergey Martínez del Amor, Miguel Ángel Yuan, Chengxun Valencia Cabrera, Luis Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2020 |
Fecha de depósito | 2020-11-13 |
Publicado en |
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Resumen | The model of membrane computing, also known under the name of P systems, is a bio-inspired large-scale
parallel computing paradigm having a good potential for the design of massively parallel algorithms. For its
implementation ... The model of membrane computing, also known under the name of P systems, is a bio-inspired large-scale parallel computing paradigm having a good potential for the design of massively parallel algorithms. For its implementation it is very natural to choose hardware platforms that have important inherent parallelism, such as field-programmable gate arrays (FPGAs) or compute unified device architecture (CUDA)-enabled graphic processing units (GPUs). This article performs an overview of all existing approaches of hardware implementation in the area of P systems. The quantitative and qualitative attributes of FPGA-based implementations and CUDA-enabled GPU-based simulations are compared to evaluate the two methodologies. |
Agencias financiadoras | Ministerio de Economia, Industria y Competitividad (MINECO). España |
Identificador del proyecto | TIN2017-89842-P (MABICAP) |
Cita | Zhang, G., Shang, Z., Verlan, S., Martínez del Amor, M.Á., Yuan, C., Valencia Cabrera, L. y Pérez Jiménez, M.d.J. (2020). An Overview of Hardware Implementation of Membrane Computing Models. ACM Computing Surveys, 53 (4), 90-1-90-38. |
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