PCz UMCS   Intel Lenovo IEEE Springer AI  


Topics of interest include, but are not limited to:
  • Parallel/distributed architectures, enabling technologies
  • Cluster and cloud computing
  • Multi-core and many-core parallel computing, GPU computing
  • Heterogeneous/hybrid computing and accelerators
  • Parallel/distributed algorithms: numerical and non-numerical
  • Scheduling, mapping, load balancing
  • Performance analysis and prediction
  • Performance issues on various types of parallel systems
  • Autotuning: methods, tools, and applications
  • Power and energy aspects of computation
  • Parallel/distributed programming
  • Tools and environments for parallel/distributed computing
  • Security and dependability in parallel/distributed environments
  • HPC numerical linear algebra
  • HPC methods of solving differential equations
  • Evolutionary computing, meta-heuristics and neural networks
  • Machine learning and HPC
  • HPC interval analysis
  • Applied Computing in mechanics, material processing, biology and medicine, physics, chemistry, business, environmental modeling, etc.
  • Applications of parallel/distributed computing
  • Methods and tools for parallel solution of large-scale problems, including big data and machine learning applications
  • Neuromorphic computing