A Technique for Approximate Communication in Network-on-Chips for Image Classification
Author:
Affiliation:
1. George Washington University, Washington, DC, USA
2. Northeastern University, Boston, MA, USA
Funder
National Science Foundation
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/6245516/10058698/9745549-aam.pdf
Reference45 articles.
1. Approximate communication: Techniques for reducing communication bottlenecks in large-scale parallel systems;betzel;ACM Comput Surv,2018
2. Visualizing and Understanding Convolutional Networks
3. A Survey of Techniques for Approximate Computing
4. Rethinking the Inception Architecture for Computer Vision
5. ABDTR: Approximation-Based Dynamic Traffic Regulation for Networks-on-Chip Systems
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