A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning

Published:2022 Issue: Volume:10 Page:77950-77961
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Akintoye Samson B.¹,Han Liangxiu¹^ORCID,Zhang Xin¹^ORCID,Chen Haoming²,Zhang Daoqiang³^ORCID

Affiliation:

1. Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, U.K.

2. Department of Computer Science, The University of Sheffield, Sheffield, U.K.

3. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

Project by Royal Society–Academy of Medical Sciences Newton Advanced Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09839492.pdf?arnumber=9839492

Cited by 6 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 study of pipeline parallelism in deep neural networks;Revista Colombiana de Computación;2024-06-30

2. A snapshot of parallelism in distributed deep learning training;Revista Colombiana de Computación;2024-06-30

3. The Landscape of Deep Distributed Computing: An In-Depth Analysis;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01

4. From distributed machine to distributed deep learning: a comprehensive survey;Journal of Big Data;2023-10-13

5. Bio-inspired computing algorithms in dementia diagnosis – a application-oriented review;Results in Control and Optimization;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3