Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?
Helena KotthausLea SchönbergerAndreas LangJian-Jia ChenPeter MarwedelPublished in: SCOPES (2019)
Keyphrases
- machine learning algorithms
- benchmark data sets
- resource allocation
- decision trees
- machine learning methods
- machine learning
- learning algorithm
- learning problems
- resource constraints
- random forests
- machine learning models
- predictive accuracy
- machine learning approaches
- input features
- scheduling problem
- machine learning systems
- scheduling algorithm
- learning models
- resource consumption
- manufacturing cell
- resource management
- transfer learning
- data sets
- grid environment
- multiclass classification
- general purpose