ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning.
Michael WilkinsYanfei GuoRajeev ThakurPeter A. DindaNikos HardavellasPublished in: CLUSTER (2022)
Keyphrases
- machine learning
- machine learning methods
- learning algorithm
- general purpose
- machine learning algorithms
- pattern recognition
- artificial intelligence
- decision trees
- high performance computing
- parallel algorithm
- natural language
- explanation based learning
- parallel implementation
- inductive learning
- learning tasks
- communication overhead
- collective intelligence
- shared memory
- communication networks
- computer networks
- data mining
- information sharing
- model selection
- learning systems
- text mining
- natural language processing
- computer science
- support vector machine
- message passing interface
- multithreading
- communication protocol
- computer vision
- feature selection
- data analysis
- machine learning approaches
- active learning
- knowledge representation
- information exchange
- communication systems
- message passing
- information extraction
- inductive logic programming
- supervised learning
- learning problems
- statistical methods
- text classification