A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning.
Leonardo Passig HorstmannJosé Luis Conradi HoffmannAntônio Augusto FröhlichPublished in: ETFA (2019)
Keyphrases
- real time
- machine learning
- design principles
- conceptual framework
- user interface
- case study
- real time control
- vlsi architecture
- core components
- probabilistic model
- computational framework
- design process
- artificial intelligence
- multimedia communication
- cell processor
- engineering design
- knowledge engineering
- design patterns
- conceptual model
- software architecture
- theoretical framework
- main contribution
- vision system
- natural language processing
- data analysis
- knowledge base
- information systems
- learning algorithm
- neural network