ALENEX 2024 : SIAM Symposium on Algorithm Engineering and Experiments

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.

Relevant areas of applied algorithmic research include but are not limited to databases; geometry; graphs and networks, including web applications; operations research; combinatorial aspects of scientific computing; and computational problems in the natural sciences or engineering.

Also encouraged are submissions that address algorithms and data structures for advanced models of computing, including memory hierarchies and parallel computing, ranging from instruction parallelism over multicore computing to high-performance and cloud computing.

Proceedings will be published openly and electronically in January 2024 as SIAM ePubs. ALENEX is supported by SIAM.

ALENEX is co-located with the meetings listed below. 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.

* ACM-SIAM Symposium on Discrete Algorithms (SODA'24)
* SIAM Symposium on Simplicity in Algorithms (SOSA'24)


SUBMISSION GUIDELINES

For detailed information on submitting to ALENEX'24 please check the following link:

https://www.siam.org/conferences/cm/submissions-and-deadlines/alenex24-submissions-deadlines


PROGRAM COMMITTEE

Program Committee Co-chairs

* Rezaul Chowdhury, Stony Brook University, U.S.
* Solon Pissis, CWI and Vrije Universiteit, The Netherlands

Program Committee

* Gerth Stølting Brodal, Aarhus University, Denmark
* Alex Conway, VMware Research Group, U.S.
* Matteo Frigo, Google, U.S.
* Yan Gu, University of California, Riverside, U.S.
* Tobias Heuer, Karlsruhe Institute of Technology, Germany
* Dominik Kempa, Stony Brook University, U.S.
* Florian Kurpicz, Karlsruhe Institute of Technology, Germany
* Grigorios Loukides, King's College, London, United Kingdom
* Kunsoo Park, Seoul National University, South Korea
* Simon J. Puglisi, University of Helsinki, Finland
* Jakub Radoszewski, University of Warsaw and Samsung R&D Warsaw, Poland
* Harsha Simhadri, Microsoft Research, India
* Yihan Sun, University of California, Riverside, U.S.
* Jesmin Jahan Tithi, Intel Labs, U.S.
* Renato Werneck, Amazon, U.S.