Energy-aware Adaptive Approximate Computing for Deep Learning Applications.
Nima TaheriNejadSalar ShakibhamedanPublished in: ISVLSI (2022)
Keyphrases
- deep learning
- energy aware
- high performance computing
- unsupervised learning
- energy consumption
- wireless sensor networks
- unsupervised feature learning
- routing protocol
- data center
- mental models
- machine learning
- smart home
- weakly supervised
- sensor networks
- routing algorithm
- energy efficiency
- cost effective
- active learning
- pairwise
- artificial intelligence