Exploiting the Approximate Computing Paradigm with DNN Hardware Accelerators
Author:
Affiliation:
1. University of Catania,Italy
2. Niccolo Cusano University,Italy
3. ESIEE Paris,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9797068/9797069/09797095.pdf?arnumber=9797095
Reference20 articles.
1. Exploiting Data Resilience in Wireless Network-on-chip Architectures
2. DNN model compression for IoT domain specific hardware accelerators;russo;IEEE Internet Ofthingsjournal,2021
3. Hierarchical Approximate Memory for Deep Neural Network Applications
4. Operating SECDED-based caches at ultra-low voltage with FLAIR
5. Timeloop: A Systematic Approach to DNN Accelerator Evaluation
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1. A Bottom-Up Methodology for the Fast Assessment of CNN Mappings on Energy-Efficient Accelerators;Journal of Low Power Electronics and Applications;2023-01-05
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