ENAP: An Efficient Number-Aware Pruning Framework for Design Space Exploration of Approximate Configurations
Author:
Affiliation:
1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China
2. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/8919/10109891/10064155.pdf?arnumber=10064155
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1. EGAN: A Framework for Exploring the Accuracy vs. Energy Efficiency Trade-off in Hardware Implementation of Error Resilient Applications
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