StarSPA: Stride-Aware Sparsity Compression for Efficient CNN Acceleration

StarSPA: Stride-Aware Sparsity Compression for Efficient CNN Acceleration

The presence of sparsity in both input features and weights within convolutional neural networks offers a valuable opportunity to significantly reduce the number of computations required during inference. Moreover, the practice of compressing input data serves to diminish storage requirements and lo...

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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 2024-01-01
Series:IEEE Access
Subjects:
AI accelerator
convolutional neural networks (CNNs)
data compression
dataflow
network on a chip (NoC)
Online Access:https://ieeexplore.ieee.org/document/10398187/

Internet

https://ieeexplore.ieee.org/document/10398187/

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