What is it about?
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 implemen-tationin 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.
Featured Image
Photo by Christian Wiediger on Unsplash
Why is it important?
This is a comprehensive survey paper on the hardware implementation of membrane computing models
Perspectives
This is a significant work on the overview of the hardware implementation of membrane computing models
Gexiang Zhang
Read the Original
This page is a summary of: An Overview of Hardware Implementation of Membrane Computing Models, ACM Computing Surveys, September 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3402456.
You can read the full text:
Contributors
The following have contributed to this page
