A Learning-Based Recommender System for Autotuning Design Flows of Industrial High-Performance Processors.
Jihye KwonMatthew M. ZieglerLuca P. CarloniPublished in: DAC (2019)
Keyphrases
- embedded processors
- parallel implementation
- parallel computers
- knowledge acquisition
- design principles
- online learning
- case study
- prior knowledge
- recommender systems
- learning systems
- active learning
- hybrid learning
- single chip
- mobile learning
- parallel processing
- learning scenarios
- learning design
- information filtering
- learning goals
- digital signal processing