RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging

Author:

Huang Chao-Tsung

Funder

Ministry of Science and Technology

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A 28-nm Computing-in-Memory-Based Super-Resolution Accelerator Incorporating Macro-Level Pipeline and Texture/Algebraic Sparsity;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-02

2. CINE: A 4K-UHD Energy-Efficient Computational Imaging Neural Engine With Overlapped Stripe Inference and Structure-Sparse Kernel;IEEE Solid-State Circuits Letters;2024

3. Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation;IEEE Transactions on Parallel and Distributed Systems;2023-12

4. A Biased Mixed-Precision Convolution Engine for Hardware-Efficient Computational Imaging CNN;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

5. VISTA: A 704mW 4K-UHD CNN Processor for Video and Image Spatial/Temporal Interpolation Acceleration;2023 IEEE International Solid- State Circuits Conference (ISSCC);2023-02-19

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