Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension
Sign Up to like & getrecommendations! Published in 2018 at "Nature Nanotechnology"
DOI: 10.1038/s41565-018-0302-0
Abstract: The memristor1,2 is a promising building block for next-generation non-volatile memory3, artificial neural networks4–7 and bio-inspired computing systems8,9. Organizing small memristors into high-density crossbar arrays is critical to meet the ever-growing demands in high-capacity and… read more here.
Keywords: density; memristor crossbar; arrays half; crossbar arrays ... See more keywords
A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
Sign Up to like & getrecommendations! Published in 2019 at "Nature Electronics"
DOI: 10.1038/s41928-019-0270-x
Abstract: Memristors and memristor crossbar arrays have been widely studied for neuromorphic and other in-memory computing applications. To achieve optimal system performance, however, it is essential to integrate memristor crossbars with peripheral and control circuitry. Here,… read more here.
Keywords: system; fully integrated; memristor crossbar; memristor ... See more keywords
Sneak Path Characterization in Memristor Crossbar Circuits
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Electronics"
DOI: 10.1080/00207217.2020.1843716
Abstract: ABSTRACT Memristor technology has become an attractive option for use in-memory architectures, in-memory computing, and logic applications. Memristor crossbar array performance is dependent upon sneak paths. Our research characterises the sneak paths in crossbar arrays… read more here.
Keywords: array; sneak path; sneak paths; memristor crossbar ... See more keywords
Multiply accumulate operations in memristor crossbar arrays for analog computing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Semiconductors"
DOI: 10.1088/1674-4926/42/1/013104
Abstract: Memristors are now becoming a prominent candidate to serve as the building blocks of non-von Neumann in-memory computing architectures. By mapping analog numerical matrices into memristor crossbar arrays, efficient multiply accumulate operations can be performed… read more here.
Keywords: multiply accumulate; memristor crossbar; crossbar arrays; analog computing ... See more keywords
Memristor-Based Spectral Decomposition of Matrices and Its Applications
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3202746
Abstract: The recently developed memristor technology allows for extremely fast implementation of a number of important matrix operations and algorithms. Moreover, the existence of fast matrix-vector operations offers the opportunity to design new matrix algorithms that… read more here.
Keywords: decomposition matrices; matrix; running time; spectral decomposition ... See more keywords
XBarNet: Computationally Efficient Memristor Crossbar Model Using Convolutional Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3163895
Abstract: The design and verification of memristor crossbar circuits and systems demand computationally efficient models. The conventional device-level memristor model with a circuit simulator such as simulation program with integrated circuit emphasis (SPICE) to solve a… read more here.
Keywords: tex math; inline formula; xbarnet; memristor crossbar ... See more keywords