DNN pruning and mapping on NoC-Based communication infrastructure

Author:

Mirmahaleh Seyedeh Yasaman Hosseini,Rahmani Amir Masoud

Publisher

Elsevier BV

Subject

General Engineering

Reference61 articles.

1. GeneSys: enabling continuous learning through neural network evolution in hardware;Samajdar,2018

2. A systolically scalable binary-weight CNN inference engine for mW IoT end-nodes;Andri,2018

3. A scalable near-memory architecture for training deep neural networks on large in-memory datasets;Schuiki;IEEE int. J. (ITC),2019

4. A new learning automata based pruning method to train deep neural networks;Guo;IEEE int. J. (IoT),2017

5. A heterogeneous TensorFlow mapper targeting performance using genetic algorithms and gradient boosting regressors;Ahmad,2018

Cited by 16 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 survey of machine learning for Network-on-Chips;Journal of Parallel and Distributed Computing;2024-04

2. An intelligent algorithm of amyloid plucks to timely fault-predicting and contending dependability in IoMT;Expert Systems with Applications;2024-03

3. Energy-Efficient and Low-Latency Optical Network-on-Chip Architecture and Mapping Solution for Artificial Neural Networks;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

4. MRCN: Throughput-Oriented Multicast Routing for Customized Network-on-Chips;IEEE Transactions on Parallel and Distributed Systems;2023-01-01

5. A Neural Network Pruning Method by the Sum of Matrix Similarity Measures;2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2022-12-09

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