AMCAL: Approximate Multiplier With the Configurable Accuracy Levels for Image Processing and Convolutional Neural Network

Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area savings. The proposed algorithm performs the multiplication op...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Reza Zendegani, Saeed Safari
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Accuracy configurable reconfigurable approximate multiplier low power neural network
Linkit:	https://ieeexplore.ieee.org/document/10119135/
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