Abstract
We further the work on a recently proposed membrane computing model which utilises decentralised water tanks interconnected by pipes with water flow controlled by valves. Although the system was shown to be universal, the system is complex and does not map to practical devices easily. We demonstrate that these water computing systems can ‘efficiently’ construct: (1) A programmable sequential, random-access machine (RAM), (2) a programmable exclusive read exclusive write (EREW) parallel random-access machine (PRAM). The resulting RAM and PRAM model presented in this paper is able to run different programs one after the other, with only needing to change the initial volume stored in the input tanks.
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Appendix A High level view of execution of RAM steps
Appendix A High level view of execution of RAM steps
Here we present a high level view of the evaluation of the RAM. Due to the size of implementing a real algorithm (the euclidean algorithm presented earlier would contain over 70 inputs) we show at a high level the evaluation of the separate parts (Fig. 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40).
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Henderson, A., Nicolescu, R., Dinneen, M.J. et al. Programmable and parallel water computing. J Membr Comput 5, 25–54 (2023). https://doi.org/10.1007/s41965-022-00114-5
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DOI: https://doi.org/10.1007/s41965-022-00114-5