Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration

Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration

Convolutional Neural Networks (CNNs) are widely used in vision tasks for resource-constrained environments due to their computational efficiency and strong generalization. However, the dominance of <inline-formula> <tex-math notation="LaTeX">$1 \times 1$ </tex-math></i...

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Bibliographic Details
Main Authors: Ngoc-Son Pham, Sangwon Shin, Lei Xu, Weidong Shi, Taeweon Suh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
AI accelerator
convolutional neural networks (CNNs)
sparsity exploitation
data compression
dataflow
network on a chip (NoC)
Online Access:https://ieeexplore.ieee.org/document/11072696/
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https://ieeexplore.ieee.org/document/11072696/

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