Mobileware: Distributed Architecture With Channel Stationary Dataflow for MobileNet Acceleration-Reference-Cited by-同舟云学术

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Mobileware: Distributed Architecture With Channel Stationary Dataflow for MobileNet Acceleration

Published:2024-09 Issue:9 Volume:43 Page:2661-2673
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Ryu Sungju¹^ORCID,Jang Jaeyong²,Oh Youngtaek³,Kim Jae-Joon²^ORCID

Affiliation:

1. Department of System Semiconductor Engineering, Sogang University, Seoul, Republic of Korea

2. Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea

3. Department of Convergence IT Engineering, POSTECH, Pohang, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/43/10643378/10477545.pdf?arnumber=10477545

Reference17 articles.

1. MobileNets: Efficient convolutional neural networks for mobile vision applications;Howard;arXiv:1704.04861,2017

2. Rigid-motion scattering for image classification;Sifre,2014

3. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

4. Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC

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