CHAIRS

• Anne Benoit, École Normale Supérieure de Lyon (ENS Lyon), France
• Geppino Pucci, University of Padua, Italy

Program Committee

• Ruben Becker, Ca' Foscari University of Venice, Italy
• Ioana Bercea, KTH Royal Institute of Technology, Sweden
• Petra Berenbrink, University of Hamburg, Germany
• Vittorio Bilò, University of Salento, Italy
• Tiziana Calamoneri, Sapienza University of Rome, Italy
• Matteo Ceccarello, University of Padova, Italy
• Fabien Dufoulon, Lancaster University, United Kingdom
• Lionel Eyraud-Dubois, LaBRI -- Inria Bordeaux Sud-Ouest, France
• Leszek Gasieniec, University of Liverpool, United Kingdom
• Sayaka Kamei, University of Hiroshima, Japan
• Loris Marchal, CNRS, France
• Achour Mostéfaoui, Université Nantes, France
• Yusuke Nagasaka, Fujitsu Limited, Japan
• Manuel Penschuck, University of Southern Denmark, Denmark
• Lucas Perotin, INRIA, France
• Ilie Sarpe, KTH Stockholm, Sweden
• Jonas Sauer, Karlsruhe Institute of Technology, Germany
• Hongyang Sun, Univeristy of Kansas, USA
• Jesper Träff, TU Wien, Austria
• Bora Ucar, CNRS, France
• Helen Xu, Georgia Tech, USA
• Andrea Clementi, University of Rome Tor Vergata, Italy
• Christos Kaklamanis, University of Patras, Greece
• Sotiris Nikoletseas, Patras University, Greece
  
   

FOCUS

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