A high-performance dataflow-centric optimization framework for deep learning inference on the edge-Reference-Cited by-同舟云学术

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A high-performance dataflow-centric optimization framework for deep learning inference on the edge

Published:2024-07 Issue: Volume:152 Page:103180
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Zhang Runhua^ORCID,Jiang Hongxu,Geng Jinkun^ORCID,Tian Fangzheng,Ma Yuhang,Wang Haojie

Funder

Academic Excellence Foundation of BUAA for PHD Students

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference56 articles.

1. When deep learning meets edge computing;Huang,2017

2. Embedded deep learning for vehicular edge computing;Hochstetler,2018

3. User preference based energy-aware mobile AR system with edge computing;Wang,2020

4. Edge-cloud polarization and collaboration: A comprehensive survey for AI;Yao;IEEE Trans. Knowl. Data Eng.,2022

5. Automating IoT data-intensive application allocation in clustered edge computing;Dautov;IEEE Trans. Knowl. Data Eng.,2021

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