9th International Conference on High Performance Compilation, Computing and Communications (HP3C 2025)

Topics

• Applications/Algorithms
  • How AI Can Enable More Efficient HPC
  • HPC Empowering AI
  • Mixed Arithmetics
  • HPC for the Energy Transition
  • High Performance Pervasive/Ubiquitous Computing
  • Parallel and Distributed Algorithms
  • High-performance Scientific and Engineering Computing
  • High performance Adaptive and Evolvable Computing
  • Grid and Cluster Computing
• System Architecture
  • Exascale Systems The Show Must Go On
  • New Memory and Storage Technologies
  • RISC-V as Next-Generation HPC Components
  • Containers for HPC
  • Multicore, Many-core and Multithreaded Architectural Approaches
  • Parallel and Distributed System Architectures
  • Cloud Computing Architectures and Tools
  • Distributed Systems and Applications
• Parallel Programming Models & Performance Modelling
  • Overcoming the Challenges in Exascale Programming
  • Performance Modeling and Tuning for Exascale Systems
  • Programming Challenges for Reconfigurable Computing
  • HPC as a Tool to Enable Science and Programming
  • Parallel and Distributed Software Technologies
  • High performance Languages and Compilers for High Performance Computing
  • Tools and Environments for Software Development
• Emerging Technologies
  • Optical Switching and Networking for Next-Generation Computing
  • Silicon Photonics in HPC for Future Exascale Needs
  • Preparing for Extreme Heterogeneity in HPC
  • Emerging Neuromorphic and Unconventional Computing Technologies
  • High performance Energy Aware Information Systems
  • High Performance Systems for Medical Applications
  • Mobile Computing and Wireless Communications
  • Wireless Sensor, Ad Hoc and Mesh Networks
  • Off-Chip/On-Chip Interconnection Networks
  • Multimedia Systems and Virtual Reality
  • Tools and technologies for Web Services development, and management
• Machine Learning
  • Machine Learning Systems and Tools
  • Scalable Optimization Methods for Deep Learning
  • Machine Learning in Life Sciences
  • Machine Learning for Weather and Climate