1. An Overview of Hardware Implementation of Membrane Computing Models
- Author
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Yuan Chengxun, Gexiang Zhang, Miguel A. Martínez-del-Amor, Mario J. Pérez-Jiménez, Sergey Verlan, Luis Valencia-Cabrera, Shang Zeyi, Southwest Jiaotong University (SWJTU), Laboratoire d'Algorithmique Complexité et Logique (LACL), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Universidad de Sevilla, Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, and Ministerio de Economia, Industria y Competitividad (MINECO). España
- Subjects
Hardware implementations ,General Computer Science ,Computer science ,Field Programmable Gate Array (FPGA) ,0102 computer and information sciences ,02 engineering and technology ,Graphic Processing Unit (GPU) ,01 natural sciences ,Hardware Implementation ,Theoretical Computer Science ,CUDA ,[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL] ,0202 electrical engineering, electronic engineering, information engineering ,Architecture ,Field-programmable gate array ,Membrane computing ,Implementation ,business.industry ,Compute Unified Device Architecture (CUDA) ,P Systems ,010201 computation theory & mathematics ,Massively parallel algorithms ,Parallelism (grammar) ,020201 artificial intelligence & image processing ,business ,Computer hardware - Abstract
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. Ministerio de Economía, Industria y Competitividad TIN2017-89842-P (MABICAP)
- Published
- 2020
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