Memristive Field-Programmable Analog Arrays for Analog Computing.
Sign Up to like & getrecommendations! Published in 2022 at "Advanced materials"
DOI: 10.1002/adma.202206648
Abstract: The increasing interests in analog computing nowadays call for multi-purpose analog computing platforms with reconfigurability. The advancement of analog computing, enabled by novel electronic elements like memristors, has shown its potential to sustain the exponential… read more here.
Keywords: analog; programmable analog; field programmable; memristive field ... 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
Nonlocal Scatterer for Compact Wave-Based Analog Computing.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review letters"
DOI: 10.1103/physrevlett.128.073201
Abstract: Analog computing based on wave interactions with metamaterials has been raising significant interest as a low-energy, ultrafast platform to process large amounts of data. Engineered materials can be tailored to impart mathematical operations of choice… read more here.
Keywords: analog; compact wave; nonlocal scatterer; scatterer compact ... See more keywords
Modeling and Simulation of Circuit-Level Nonidealities for an Analog Computing Design Approach With Application to EEG Feature Extraction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3170248
Abstract: This article presents a design approach for the modeling and simulation of ultralow power (ULP) analog computing machine learning (ML) circuits for seizure detection using electroencephalography (EEG) signals in wearable health monitoring applications. In this… read more here.
Keywords: analog; circuit; design; simulation ... See more keywords
Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3216287
Abstract: Analog computing is attractive compared to digital computing due to its potential for achieving higher computational density and higher energy efficiency. However, unlike digital circuits, conventional analog computing circuits cannot be easily mapped across different… read more here.
Keywords: computing circuits; analog; machine learning; process ... See more keywords
Parallel wave-based analog computing using metagratings
Sign Up to like & getrecommendations! Published in 2022 at "Nanophotonics"
DOI: 10.1515/nanoph-2021-0710
Abstract: Abstract Wave-based signal processing has witnessed a significant expansion of interest in a variety of science and engineering disciplines, as it provides new opportunities for achieving high-speed and low-power operations. Although flat optics desires integrable… read more here.
Keywords: based analog; analog computing; wave based; parallel wave ... See more keywords