Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies.
Adrián Pérez DiéguezMargarita Amor LópezPublished in: CoRR (2023)
Keyphrases
- embedded systems
- model driven
- machine learning
- data driven
- low cost
- computing power
- service oriented
- embedded devices
- metamodel
- resource limited
- processing power
- data mining
- embedded software
- artificial intelligence
- real time systems
- hardware software
- software systems
- model driven development
- embedded real time systems
- real time
- data integration
- service oriented architecture
- flash memory
- model driven architecture
- data analysis
- hw sw
- data sets
- oracle database
- field programmable gate array
- parallel processing
- data management
- platform independent
- data warehouse
- knowledge discovery
- high level
- decision making