eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge
Inference

eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference

13 October 2019

Chao-Tsung Huang

Huan-Ching Wang

Papers citing "eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference"

10 / 10 papers shown

Title
ESSR: An 8K@30FPS Super-Resolution Accelerator With Edge Selective Network Chih-Chia Hsu Tian-Sheuan Chang SupR 258 2 0 26 Mar 2025
ACNPU: A 4.75TOPS/W 1080P@30FPS Super Resolution Accelerator with Decoupled Asymmetric Convolution Tun-Hao Yang Tian-Sheuan Chang SupR 19 2 0 30 Aug 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Mingi Yoo Jaeyong Song Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 43 18 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 48 5 0 24 Jan 2023
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling L. Mei Koen Goetschalckx Arne Symons Marian Verhelst 41 29 0 10 Dec 2022
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging Chao-Tsung Huang 45 10 0 19 Apr 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 48 380 0 17 Dec 2020
EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search Ching-Chen Wang Ching-Te Chiu Jheng-Yi Chang 33 19 0 16 Sep 2020
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation Yu Feng Boyuan Tian Tiancheng Xu P. Whatmough Yuhao Zhu 3DPC 32 58 0 16 Aug 2020
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference Chao-Tsung Huang 22 5 0 13 Oct 2019