Track 6 - Multidisciplinary, Domain-Specific and Applied Parallel and Distributed Computing

Chairs

Focus

  • Applications of numerical algorithms in science and engineering      
  • Domain-specific libraries and languages in parallel and distributed computing  
  • Application case-studies for benchmarking and comparative studies of parallel programming models
  • Numerical methods for large-scale data analysis          
  • High-dimensional problems and reduction methods        
  • Implementation & analysis of parallel numerical algorithms    
  • Optimization and non-linear problems in parallel and distributed computing  
  • Parallel numerical linear algebra for dense and sparse matrices            
  • Partial/ordinary and differential algebraic equations in parallel and distributed computing        
  • Discrete and combinatorial parallel algorithms        
  • Parallel metaheuristics and hyperheuristics
  • Innovative paradigms, programming models, languages, and libraries for parallel and distributed applications      
  • Parallel and distributed programming productivity, usability, and component-based parallel programming    
  • Tensor operations, low-rank approximations
  • Data-centric parallel and distributed algorithms for exascale computing