Using machine learning to optimize graph execution on NUMA machines.
Hiago Mayk G. de A. RochaJanaina SchwarzrockArthur Francisco LorenzonAntonio Carlos Schneider BeckPublished in: DAC (2022)
Keyphrases
- machine learning
- execution model
- load balancing
- natural language processing
- graph theory
- graph matching
- machine learning methods
- computer vision
- graph representation
- machine intelligence
- reinforcement learning
- directed graph
- bipartite graph
- graph model
- structured data
- learning algorithm
- text classification
- computational intelligence
- text mining
- active learning
- memory management
- data mining
- high end
- learning tasks
- weighted graph
- graph structure
- knowledge representation
- learning systems
- machine learning algorithms
- random walk
- knowledge discovery
- kernel methods
- feature selection
- statistical methods
- computer science
- directed acyclic graph
- data analysis
- graph databases
- explanation based learning
- active rules
- information extraction