Abstract
AbstractMemristor-based circuits offer low hardware costs and in-memory computing, but full-memristive circuit integration for different algorithm remains limited. Cellular automata (CA) has been noticed for its well-known parallel, bio-inspired, computational characteristics. Running CA on conventional chips suffers from low parallelism and high hardware costs. Establishing dedicated hardware for CA remains elusive. We propose a recirculated logic operation scheme (RLOS) using memristive hardware and 2D transistors for CA evolution, significantly reducing hardware complexity. RLOS’s versatility supports multiple CA algorithms on a single circuit, including elementary CA rules and more complex majority classification and edge detection algorithms. Results demonstrate up to a 79-fold reduction in hardware costs compared to FPGA-based approaches. RLOS-based reservoir computing is proposed for edge computing development, boasting the lowest hardware cost (6 components/per cell) among existing implementations. This work advances efficient, low-cost CA hardware and encourages edge computing hardware exploration.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary
Reference41 articles.
1. Fofonjka, A. & Milinkovitch, M. C. Reaction-diffusion in a growing 3D domain of skin scales generates a discrete cellular automaton. Nat. Commun. 12, 2433 (2021).
2. Hewitt, R., Kovalevsky, D. V., de Boer, C. & Hasselmann, K. Modelling actors’ influence on land use change: a dynamic systems approach. In 20th AGILE Conference on Geographic Information Science) (AGILE, 2017).
3. Kotyrba, M., Volna, E. & Bujok, P. Unconventional modelling of complex system via cellular automata and differential evolution. Swarm Evolut. Comput. 25, 52–62 (2015).
4. Tomassini, M. & Perrenoud, M. Cryptography with cellular automata. Appl. Soft Comput. 1, 151–160 (2001).
5. Rosin, P. L. Training cellular automata for image processing. IEEE Trans. Image Process. 15, 2076–2087 (2006).
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献