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Topics

Topics of interest include (but are not limited) to:

  • Parallel/distributed architectures, enabling technologies
  • Cloud computing
  • Multi-core and many-core parallel computing
  • GPU computing
  • Heterogeneous/hybrid computing and accelerators
  • Cluster computing
  • 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
  • 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
  • Large-scale social network analysis