Memristor-based approximate matrix multiplier
Sign Up to like & getrecommendations! Published in 2017 at "Analog Integrated Circuits and Signal Processing"
DOI: 10.1007/s10470-017-1029-9
Abstract: The parallel structure of matrix multipliers makes them fascinating candidates to benefit from memristors’ high density architecture. This paper first explains a memristor-based analog vector–matrix multiplier suitable for approximate computing. According to the existence of… read more here.
Keywords: matrix multiplier; based approximate; approximate matrix; memristor based ... See more keywords
Analysis and Design of a Passive Switched-Capacitor Matrix Multiplier for Approximate Computing
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2016.2599536
Abstract: A switched-capacitor matrix multiplier is presented for approximate computing and machine learning applications. The multiply-and-accumulate operations perform discrete-time charge-domain signal processing using passive switches and 300 aF unit capacitors. The computation is digitized with a… read more here.
Keywords: approximate computing; matrix multiplier; switched capacitor; capacitor matrix ... See more keywords
A Nonvolatile All-Spin Nonbinary Matrix Multiplier: An Efficient Hardware Accelerator for Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2022.3214167
Abstract: We propose and analyze a compact and nonvolatile nanomagnetic (all-spin) nonbinary matrix multiplier performing the multiply-and-accumulate (MAC) operation using two magnetic tunnel junctions (MTJs)–one activated by strain to act as the multiplier and the other… read more here.
Keywords: matrix multiplier; nonbinary matrix; accelerator machine; machine learning ... See more keywords
Reconfigurable matrix multiplier with on-site reinforcement learning.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.472729
Abstract: Matrix multiplication is a fundamental building block for modern information processing and artificial intelligence algorithms. Photonics-based matrix multipliers have recently attracted much attention due to their advantages of low energy and ultrafast speed. Conventionally, achieving… read more here.
Keywords: reconfigurable matrix; matrix multiplier; matrix; reinforcement learning ... See more keywords