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SIAM Symposium on Algorithm Engineering and Experiments (ALENEX26)

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About the Conference

The aim of ALENEX is to provide a forum for the presentation of original research in the design, implementation, and experimental evaluation of algorithms and data structures. Typical submissions will include an extensive experimental analysis of nontrivial algorithmic results, ideally bridging the gap between theory and practice. We also invite submissions that address methodological issues and standards in the experimental evaluation of algorithms and data structures.

We welcome submissions on a broad range of topics within algorithm engineering and the experimental analysis of algorithms and data structures, including but not limited to the following:

  • Combinatorial optimization and mathematical programming, including scheduling and resource allocation problems
  • Computational biology and bioinformatics
  • Data science and data management, including databases
  • Design and analysis of application-inspired exact, approximation, randomized, streaming, and learning-augmented algorithms
  • Graph and hypergraph algorithms, including problems arising in network science and complex networks
  • String algorithms and data structures
  • Computational geometry
  • Interaction between algorithms and modern computing platforms, including challenges arising from memory hierarchies, accelerators, and novel memory technologies
  • 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 computing
  • Machine learning and statistical methods for solving combinatorial problems
  • Other applications arising from security, computational finance, computational chemistry/physics, quantum computing, etc.

Proceedings will be posted online in January 2026. ALENEX is supported by SIAM.

Since researchers in all fields are approaching the problem of learning detailed information about the performance of particular algorithms, we expect that interesting synergies will develop between the co-located conferences.

The following meetings will be held jointly:

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Program Committee Co-Chairs

Simon Puglisi

University of Helsinki, Finland

Nate Veldt

Texas A&M University, U.S.

Program Committee

Aydin Buluc

Lawrence Berkeley National Laboratory, U.S.

Sarah Cannon

Claremont McKenna College, U.S.

Laxman Dhulipala

University of Maryland, U.S.

Jonas Ellert

École Normale Supérieure Paris, France

S M Ferdous

Pacific Northwest National Laboratory, U.S.

Assefaw Gebremedhin

Washington State University, U.S.

Yan Gu

University of California, Riverside, U.S.

Christian Komusiewicz

University of Jena, Germany

Inge Li Gørtz

Technical University of Denmark, Denmark

Quanquan C. Liu

Princeton University, U.S.

Joel Mackenzie

University of Queensland, Australia

Prashant Pandey

Northeastern University, U.S.

Frank Sommer

Technische Universität Wien, Austria

Sabine Storandt

University of Konstanz, Germany

David Tench

Lawrence Berkeley National Laboratory, U.S.

Helen Xu

Georgia Institute of Technology, U.S.

Steering Committee Chair

Martin Farach-Colton

New York University, U.S.

Steering Committee

Paolo Ferragina

University of Pisa, Italy

Kathrin Hanauer

University of Vienna, Austria

Solon Pissis

Centrum Wiskunde & Informatic, Netherlands

Alex Pothen

Purdue University, U.S.

Julian Shun

Massachusetts Institute of Technology, U.S.

Helen Xu

Georgia Institute of Technology, U.S.

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