CANNON: Communication-Aware Sparse Neural Network Optimization-Reference-Cited by-同舟云学术

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CANNON: Communication-Aware Sparse Neural Network Optimization

Published:2023-10 Issue:4 Volume:11 Page:882-894
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Goksoy A. Alper¹^ORCID,Li Guihong²^ORCID,Mandal Sumit K.³^ORCID,Ogras Umit Y.¹^ORCID,Marculescu Radu²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA

2. Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA

3. Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India

Funder

National Science Foundation

Semiconductor Research Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

https://ieeexplore.ieee.org/ielam/6245516/10349221/10171170-aam.pdf

Reference43 articles.

1. Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications

2. Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

4. Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

5. Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning

Cited by 1 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. Optimisation of sparse deep autoencoders for dynamic network embedding;CAAI Transactions on Intelligence Technology;2024-08-29

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