A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier

A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier

Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. In this paper, we propose a low-power DNN accelerator with novel signed approximate multiplier base...

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Bibliographic Details
Main Authors: Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Approximate computing
multiplier
compressor
probability analysis
truncation
vector
Online Access:https://ieeexplore.ieee.org/document/10500495/
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https://ieeexplore.ieee.org/document/10500495/

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