Return
Memristor-Based Efficient In-Memory Logic for Cryptologic and Arithmetic Applications
DOI:10.1002/admt.201900212.png)
Abstract
En 中文
As the era of big data dawns, conventional digital computers face increasing difficulties in performance and power efficiency due to their von Neumann architecture, leading to an urgent requirement for computing paradigms that can merge logic and memory. An efficient in-memory logic approach based on unipolar memristors that is capable of implementing all 16 Boolean logic functions in the same cell in less than 3 logic steps using a thermochemical metallization cell, where the confinement of filament diameter and thus switching location have reduced the threshold voltages and improved the switching uniformity, is experimentally demonstrated. The high efficiency of the logic units allows for the construction of novel encryption hardware in which both the encryption and decryption processes are achieved by memristor logic while the encryption key is also generated from the intrinsic stochasticity of resistive switching. The memristive array is also used to implement the calculation of Hamming distance and 1-bit binary full adder with high efficiency, thus paving a way for future non-von Neumann computing architectures.
Keywords:
Boolean logic
encryption
full adder
Hamming distance
in-memory computing
memristors
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.2
Papers:
5.3K
Citations:
2.4W
Organization
Cited Papers
Reconfigurable Nonvolatile Logic Operations in Resistance Switching Crossbar Array for Large-Scale Circuits
ADVANCED MATERIALS
IF26.8
Inhomogeneous chemical states in resistance-switching devices with a planar-type Pt/CuO/Pt structure

