Speeding up and reducing memory usage for scientific machine learning via mixed precision.
Joel HayfordJacob Goldman-WetzlerEric WangLu LuPublished in: CoRR (2024)
Keyphrases
- memory usage
- machine learning
- memory requirements
- machine learning methods
- artificial intelligence
- memory footprint
- machine learning algorithms
- feature selection
- computer vision
- scientific data
- explanation based learning
- knowledge representation
- computational intelligence
- data mining
- decision trees
- pattern recognition
- active learning
- significantly reduced
- learning problems
- text mining
- kernel methods
- learning tasks
- machine learning approaches
- computational biology
- databases
- machine learning and data mining
- application of machine learning methods
- high precision
- transfer learning
- data analysis
- reinforcement learning
- learning systems
- model selection
- knowledge engineering
- supervised learning
- semi supervised
- support vector machine
- computer science
- learning environment
- scientific discovery
- case study
- computational science
- real time