Chairs
Program Committee
- Sanjukta Bhowmick, University of North Texas
- Erin Carson, Charles University
- Jee Choi, University of Oregon
- Lisa Claus, Lawrence Berkeley National Laboratory
- Alfredo Cristobal-Salas, Universidad Veracruzana
- Lionel Eyraud-Dubois, LaBRI -- Inria Bordeaux Sud-Ouest
- Jeremy Fineman, Georgetown University
- Pierre Fraigniaud, Université Paris Cité and CNRS
- Takeshi Fukaya, Hokkaido University
- Assefaw Gebremedhin, Washington State University
- Pieter Ghysels, Lawrence Berkeley National Laboratory
- Feng-Nan Hwang, National Central University
- Masado Ishii, RIKEN R-CCS
- Kamesh Madduri, The Pennsylvania State University
- Fredrik Manne, University of Bergen
- Othon Michail, University of Liverpool
- Achour Mostefaoui, Nantes Université
- Yusuke Nagasaka, FUJITSU LIMITED
- Maria Potop-Butucaru, Sorbonne University
- Ilya Safro, University of Delaware
- Francesco Silvestri, University of Padova
- Yihan Sun, University of California, Riverside
- Flavio Vella, University of Trento
- Helen Xu, Lawrence Berkeley Laboratories
- Rio Yokota, Tokyo Institute of Technology
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
