Topic 5 - Theory and Algorithms

Chairs

Program Committee

  •  Sanjukta Bhowmick, University of North Texas
  • Jee Choi, Georgia Institute of Technology
  • Rezaul Chowdhury, State University of New York at Stony Brook
  • Fabien Dufoulon, Lancaster University
  • Lionel Eyraud-Dubois, LaBRI -- Inria Bordeaux Sud-Ouest
  • Pierre Fraigniaud, Université Paris Cité and CNRS
  • Quanquan Liu, Northwestern University
  • Samuel McCauley, Williams College
  • Othon Michail, University of Liverpool
  • Achour Mostéfaoui, Université Nantes (LINA)
  • Yusuke Nagasaka, Fujitsu Limited
  • Lata Narayanan, Concordia University
  • Manuel Penschuck, Goethe University Frankfurt
  • Cynthia Phillips, Sandia National Laboratories
  • Kirk Pruhs, University of Pittsburgh
  • Shikha Singh, Williams College
  • Vaishali Surianarayanan, UCSB
  • Flavio Vella, University of Trento
  • Helen Xu, Georgia Tech
  • Albert-Jan Yzelman, Huawei Technologies France

Focus

  • Design, analysis, and engineering of distributed and parallel algorithms        
  • Theoretical foundations, models, and complexity issues  
  • Data structures for parallel and distributed algorithms  
  • Emerging paradigms for parallel and distributed computation    
  • Theory and algorithms for emerging parallel/distributed architectures    
  • Lower bounds for parallel/distributed computing  
  • Approximation and randomized algorithms        
  • Algorithms for combinatorial and graph problems      
  • Algorithms for sparse and dense numerical linear algebra
  • Algorithms and models for Big Data/Data-intensive computing
  • Algorithms for routing and information dissemination in networks            
  • Algorithms for social networks  
  • Algorithms for dynamic networks            
  • Algorithms for cloud and edge computing        
  • Fault-tolerant and self-stabilizing algorithms    
  • Power/energy-efficient algorithms        
  • Tensor operations, low-rank approximation  
  • Theoretical aspects of dependable, secure, and privacy-preserving distributed systems
  • Parallel/distributed aspects of learning and mining algorithms
  • Theoretical aspects of emerging architectures