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.

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膜计算模型的硬件实现概述

膜计算模型，也称为 P 系统，是一种受生物启发的大规模并行计算范式，具有设计大规模并行算法的良好潜力。对于其实施，选择具有重要固有并行性的硬件平台是很自然的，例如现场可编程门阵列 (FPGA) 或支持计算统一设备架构 (CUDA) 的图形处理单元 (GPU)。本文概述了 P 系统领域中所有现有的硬件实现方法。比较基于 FPGA 的实现和基于 CUDA 的基于 GPU 的仿真的定量和定性属性，以评估这两种方法。