• Scientific computing
  • Parallel and Distributed Processing
  • Linear Algebra and its Applications
  • Computational Science and Engineering
  • Problem Solving Environments
  • Data Mining and Data Analytics
  • Runtime support for parallel programming models 
  • Thread and system libraries
  • Parallel numerical optimization and uncertainty quantification 
  • Automation of AI, parallel and distributed machine and deep learning 
  • Operating systems

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