MemCA: All-Memristor Design for Deterministic and Probabilistic Cellular Automata Hardware Realization
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding long-distance information transfer of conventional computers by the massive parallel computation performed by a set of locally-coupled dynamical nodes. Although CA are envisioned as powerful deterministic computers, their intrinsic capabilities are expanded after the memristor's probabilistic switching is introduced into CA cells, resulting in new hybrid deterministic and probabilistic memristor-based CA (MemCA). In the proposed MemCA hardware realization, memristor devices are incorporated in both the cell and rule modules, composing the very first all-memristor CA hardware, designed with mixed CMOS/Memristor circuits. The proposed implementation accomplishes high operating speed and reduced area requirements, exploiting also memristor as an entropy source in every CA cell. MemCA's functioning is showcased in deterministic and probabilistic operation, which can be externally modified by the selection of programming voltage amplitude, without changing the design. Also, the proposed MemCA system includes a reconfigurable rule module implementation that allows for spatial and temporal rule inhomogeneity.
Details
Original language | English |
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Pages (from-to) | 45782-45797 |
Number of pages | 16 |
Journal | IEEE access |
Volume | 11 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
External IDs
WOS | 000991571100001 |
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dblp | journals/access/NtinasFKVDRS23 |
Mendeley | 85271334-f70c-3fb4-b8e7-a14002674a6a |
ORCID | /0000-0002-2367-5567/work/168720257 |
Keywords
ASJC Scopus subject areas
Keywords
- Automata, Cellular Automata, CMOS technology, emergent computing hardware, Field programmable gate arrays, Hardware, hybrid CMOS/memristor design, Memristor technology, Memristors, Probabilistic logic, Semiconductor device modeling, Task analysis, Cellular automata, Memristor design, Emergent computing hardware, hybrid CMOS, cellular automata