Euro-Par 2024 | Track 4: Data analytics, AI, and Computational Science | International European Conference on Parallel and Distributed Computing Track 4: Data analytics, AI, and Computational ScienceEuro-par

Track 4 - Data analytics, AI, and Computational Science




  • Artificial Intelligence in the IoT-Edge-Cloud continuum
  • Data management in Edge devices and the computing continuum
  • Innovative applications and case studies
  • Large-scale data processing applications in science, engineering, business and healthcare
  • Emerging trends for computing, machine learning, approximate computing, and quantum computing.
  • Parallel, replicated, and highly-available distributed databases
  • Scientific data analytics (Big Data or HPC-based approaches)
  • Middleware for processing large-scale data
  • Programming models for parallel and distributed data analytics
  • Workflow management for data analytics
  • Coupling HPC simulations with in-situ data analysis
  • Parallel data visualization
  • Distributed and parallel transaction, query processing and information retrieval
  • Internet-scale data-intensive applications
  • Sensor network data management
  • Data-intensive computing infrastructures
  • Parallel data streaming and data stream mining
  • New storage hierarchies in distributed data systems
  • Parallel and distributed machine learning, knowledge discovery and data mining
  • Privacy and trust in parallel and distributed data management and analytics systems
  • IoT data management and analytics
  • Parallel and distributed data science applications
  • Data analysis in cloud and serverless models