Design-Space Exploration of Pareto-Optimal Architectures for Deep Learning with DVFS.
Giulia SantoroMario R. CasuValentino PelusoAndrea CalimeraMassimo AliotoPublished in: ISCAS (2018)
Keyphrases
- deep learning
- pareto optimal
- design space exploration
- multi objective
- design space
- multi objective optimization
- unsupervised learning
- multiple objectives
- computer architecture
- nsga ii
- machine learning
- design process
- nash equilibrium
- mental models
- optimal solution
- weakly supervised
- evolutionary algorithm
- real world
- test problems
- multi agent systems
- dynamic programming
- case study
- decision making
- genetic algorithm