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CompF3: Machine Learning

Working Group Co-Conveners

Functional areas
- Machine learning (both training and inference) at scale both for big models as well as massively parallel training and inference of many models
- Supporting both individual researchers training and deploying their own models, as well as centralized production workflows using machine learning at scale
- Fast inference and training
- Calibration/validation
Mandate
- Describe the machine learning training and inference needs of the stakeholders
- What are the resources needed to execute these workflows?
- What is the technology evolution of these resources?
  - Coordinate with experimental algorithms and theoretical calculations and simulations
- How will the stakeholders be able to design and write machine learning applications for these resources
- Are there standards that the community should follow?
- How are the solutions used by the community embedded/derived from solutions from industry/other science domains