Approximate CNN Hardware Accelerators for Resource Constrained Devices

Approximate CNN Hardware Accelerators for Resource Constrained Devices

Implementation of Convolutional Neural Networks (CNNs) on edge devices require reduction in computational complexity. Leveraging optimization techniques or approximate computing techniques can reduce the overhead associated with hardware implementation. In this paper, we propose a modular pipelined...

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Bibliographic Details
Main Authors: P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Approximate computing
convolutional neural networks (CNNs)
hardware accelerators
edge computing
image classification
Online Access:https://ieeexplore.ieee.org/document/10840189/
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https://ieeexplore.ieee.org/document/10840189/

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