Track 4 - Scalable AI and Data Analytics
CHAIRS
- Abhinav Bhatele, University of Maryland, College Park, USA
- Robert Birke, University of Turin, Italy
Program Committee
TBA
FOCUS
- AI and machine learning at scale in the IoT-Edge-Cloud-HPC continuum
- LLMs and HPC for training and inference at scale
- Parallel and distributed deep learning, knowledge discovery, and data mining
- Performance-aware AI and data management in parallel and distributed systems
- Data management, analytics, and storage in distributed, edge, Cloud, and HPC systems
- Parallel, replicated, and highly-available distributed databases
- Parallel and distributed data processing, stream analytics, and visualization
- Workflow management, in-situ analysis, and coupling with HPC simulations
- Scientific, engineering, business, and healthcare data analytics applications
- Emerging trends in AI acceleration, approximate computing, quantum computing and new infrastructures
- Programming models, middleware, and frameworks for high-performance scalable analytics
- Privacy and trust in parallel and distributed data management and analytics systems