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