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

  • Parallel/distributed and grid architectures
  • Cluster computing
  • Parallel/distributed algorithms
  • Scheduling and load balancing
  • Performance analysis and prediction
  • Parallel/distributed/grid programming
  • Software engineering for parallel/ distributed/grid computing
  • Tools and environments for parallel/distributed/grid processing
  • Numerical linear algebra
  • Methods of solving differential equations
  • Evolutionary computing and neural networks
  • Mathematical and computer methods in mechanics, material processing, biology and medicine, physics, chemistry, business, environmental modeling, etc.
  • Applications of parallel/distributed/grid computing