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March 8 Deadline - CALL FOR POSTERS @ SIAM ACDA23 (Joint with SIAM OP23)

  • 1.  March 8 Deadline - CALL FOR POSTERS @ SIAM ACDA23 (Joint with SIAM OP23)

    Posted 03-04-2023 15:59

    Call for Posters

     

    SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23)

    May 31 – June 2, 2023

    Seattle, Washington, U.S.

    The Sheraton Grand Seattle

     

    (This is the conference of the SIAM Activity Group on Applied & Computational Discrete Algorithms.

    This conference is co-located with SIAM Conference on Optimization (OP23).)

     

    Poster Submissions

    A poster submission is in the form of a 2-page (maximum) abstract. Posters are not considered archival, and reviewing of posters will not be double-blind. Poster presentations will not appear in the conference proceedings. All contributions must be submitted electronically via the EasyChair submission system (https://easychair.org/conferences/?conf=acda23). 

     

    Poster Submission Deadline: March 8, 2023

    Author Notification: March 15, 2023

     

    Prizes  An award will be given for the best poster.

    ACDA brings together researchers who design and study combinatorial and graph algorithms motivated by applications. ACDA is organized by SIAM under the auspices of the SIAM Activity Group on Applied and Computational Discrete Algorithms. ACDA expands the area of Combinatorial Scientific Computing to applications of discrete models and algorithms across all areas in the physical and life sciences and engineering, the social and information sciences, and anywhere discrete mathematical techniques are used to formulate and solve problems in the world. ACDA invites papers on the formulation of combinatorial problems from applications; theoretical analyses; design of algorithms; computational evaluation of the algorithms; and deployment of the resulting software to enable applications.

    Included Themes

    Topics of interest include but are not limited to discrete or combinatorial problems and algorithms arising in:

    ·         Algorithm engineering

    ·         Algorithmic differentiation (AD)

    ·         Combinatorial optimization and mathematical programming, including scheduling and resource allocation problems

    ·         Combinatorial scientific computing (CSC) including models, algorithms, applications, numerical methods, and problems arising in data analysis 

    ·         Computational biology and bioinformatics

    ·         Data management and data science 

    ·         Design and analysis of application-inspired exact, randomized, streaming, and approximation algorithms

    ·         Graph and hypergraph algorithms, including problems arising in network science and complex networks

    ·         Interaction between algorithms and modern computing platforms, including challenges arising from memory hierarchies, accelerators, and novel memory technologies

    ·         Machine learning and statistical methods for solving combinatorial problems

    ·         Numerical linear algebra, including sparse matrix computations and randomized approaches

    ·         Parallel and distributed computing, including algorithms, architectures, distributed systems, and all parallelism ranging from instruction-level and multi-core all the way to clouds and exascale

    ·         Other applications arising from security, computational finance, computational chemistry/physics, quantum computing, etc.

     

    Invited Presentations

    Jose Correa (Universidad de Chile, Chile )

    Jelani Nelson (University of California, Berkeley, U.S.) 

    Rob Schreiber (Cerebras Systems, U.S.) 

    Blair Sullivan (University of Utah, U.S.) 

    Sivan Toledo (Tel Aviv University, Israel)

    Andrea Walther (Humboldt-Universität zu Berlin, Germany) Joint Plenary Speaker with SIAM Conference on Optimization (OP23)

     

    Minitutorials 

    Sergei Vassilvitskii: Beyond Worst-Case Analysis
    Martin Buecker: Algorithmic Differentiation

     

    Program Committee Co-chairs
    Jonathan Berry, Sandia National Laboratories, U.S.

    David Shmoys, Cornell University, U.S.

     

    Program Committee 

    Martin Bücker, Friedrich-Schiller- Universität Jena, Germany

    David Bader, New Jersey Institute of Technology, U.S.

    Michael Bender, SUNY Stony Brook, U.S.

    Anne Benoit, ENS Lyon, France

    Dan Bienstock, Columbia University, U.S. 

    Sarah Cannon, Claremont McKenna College, U.S. 

    Lenore Cowen, Tufts University, U.S. 

    Martin Farach-Colton, Rutgers University, U.S. 

    Maryam Fazel, University of Washington, U.S. 

    Sándor Fekete, Technische Universität Braunschweig, Germany

    Xin Gao, King Abdullah University of Science and Technology, Saudi Arabia

    Assefaw Gebremedhin, Washington State University, U.S.

    Phil Gibbons, Carnegie Mellon University, U.S. 

    John Gilbert, University of California, Santa Barbara, U.S.

    Andrew Goldberg, Amazon, U.S. 

    Giulia Guidi, University of California, Berkeley, U.S. 

    Swati Gupta, Georgia Institute of Technology, U.S. 

    Kathrin Hanauer, University of Vienna, Austria

    Bruce Hendrickson, Lawrence Livermore National Laboratory, U.S 

    Dorit Hochbaum. University of California, Berkeley, U.S.

    Paul Hovland, Argonne National Laboratory, U.S. 

    Rob Johnson. VMware Research, U.S. 

    Jeremy Kepner, Massachusetts Institute of Technology, U.S. 

    Smita Krishnaswamy, Yale University, U.S. 

    Kamesh Madduri, Pennsylvania State University, U.S. 

    Fredrick Manne, University of Bergen, Norway

    Samuel McCauley, Williams College, U.S. 

    Nicole Megow, University of Bremen, Germany

    Ben Moseley, Carnegie Mellon University, U.S. 

    Eisha Nathan, Lawrence Livermore National Laboratory, U.S

    Uwe Naumann, RWTH Aachen University, Germany

    Richard Peng, Georgia Institute of Technology, U.S.

    Cynthia Phillips, Sandia National Laboratories, U.S.

    Alex Pothen, Purdue University, U.S. 

    Emilie Purvine, Pacific Northwest National Laboratory, U.S. 

    Ted Ralphs, Lehigh University, U.S. 

    Julian Shun, Massachusetts Institute of Technology, U.S.

    Aravind Srinivasan, University of Maryland, College Park, U.S. 

    Cliff Stein, Columbia University, U.S. 

    Blair Sullivan, University of Utah, U.S.

    Adrian Tate, NAG, United Kingdom

    Shang-Hua Teng, University of Southern California, U.S. 

    Denis Trystam, Grenoble Institute of Technology, France

    Fabio Vandin, University of Padova, Italy

    Santosh Vempala, Georgia Institute of Technology, U.S.

    Rich Vuduc, Georgia Institute of Technology, U.S.

    Andrea Walther, Humboldt Universität Berlin, Germany

    Jean-Paul Watson, Lawrence Livermore National Laboratory, U.S.

    David Woodruff, Carnegie Mellon University, U.S. 

    Shenghao Yang, University of Waterloo, Canada

     

    Organizing Committee Co-Chairs

    Lenore Cowen, Tufts University, U.S.

    Uwe Naumann, RWTH Aachen University, Germany

     

     

     

    Organizing Committee 

    Anne Benoit, ENS Lyon, France

    Dorit Hochbaum, University of California, Berkeley, U.S.

    Fredrik Manne, University of Bergen, Norway

    Cynthia Phillips, Sandia National Laboratories, U.S.

    Adrian Tate, NAG, United Kingdom

    Shang-Hua Teng, University of Southern California, U.S.

     

    Funding Agency

    A picture containing text  Description automatically generatedSIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of this conference.