SHMEM-ML: Leveraging OpenSHMEM and Apache Arrow for Scalable, Composable Machine Learning.
Max GrossmanSteve PooleHoward PritchardVivek SarkarPublished in: OpenSHMEM (2021)
Keyphrases
- machine learning
- open source
- maximum likelihood
- open source software
- knowledge acquisition
- map reduce
- natural language processing
- explanation based learning
- decision trees
- pattern recognition
- learning tasks
- web server
- natural language
- text classification
- text mining
- inductive learning
- inductive logic programming
- machine learning algorithms
- supervised machine learning
- machine learning approaches
- highly scalable
- open source projects
- real time
- neural network
- knowledge representation
- artificial intelligence
- computer vision
- case study
- computational intelligence
- reinforcement learning
- data sets
- learning algorithm
- memory efficient
- web scale
- software maintenance
- computer science
- data analysis
- active learning
- learning problems
- statistical methods
- learning systems
- information extraction
- unsupervised learning