Last Updated:
Baltimore, MD

SIAM PP24 Call for Papers


March 5–8, 2024 – Lord Baltimore Hotel, Baltimore, MD

The SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP24) and the SIAM Activity Group on Supercomputing (SIAG-SC) invite research paper submissions (deadline: June 30) on parallel algorithms, scalable scientific computing, simulation, visualization, and machine learning. The SIAM PP conference series focuses on the design of numerical and discrete algorithms in the context of modern parallel computer architectures, covering both theory and practice.

Conference website:

Compilers and programming systems
Data analysis and visualization
Education in HPC
Large-scale parallel applications
Parallel computer systems
Performance analysis, tuning, and debugging
Scalable parallel algorithms
Scientific workflows

Contributions are especially welcome in:
Algorithms and applications on multiphysics and multiscale computing
Frontiers of scientific computing
Integration of scientific computing and machine learning methods
Post Moore systems and algorithms
Verification, validation, and uncertainty quantification

Peer Review and Proceedings:
The research papers will be peer-reviewed. We will use a rigorous academic peer-review process and single-blind reviewing (resembling a journal-style review process, with a short single revision phase).

Accepted papers will be published in the SIAM Proceedings Series on Parallel Processing for Scientific Computing, will be DOI indexed, and will be accessible through the SIAM proceedings web site. Accepted papers will be presented at SIAM PP24 in special sessions in addition to the standard conference program (minisymposia, posters, contributed talks, etc.).

10 pages without references, supplementary material will be allowed. Submission site:

Papers due: June 30, 2023 July 15, 2023 (extended)
Reviews available: September 29, 2023
Revision due: November 10, 2023
Final decisions: December 1, 2023
Camera ready: December 15, 2023

Proceedings Paper Submission format:
All papers must be prepared using the SIAM proceedings format (double-column style).

Submissions must include an abstract (100–400 words), author contact information, and the full list of authors and their affiliations. Papers may be no more than 10 pages in length excluding references and appendices. Supplementary material will be allowed, up to 8 pages, and is especially welcome concerning the reproducibility of the work. Submissions must be in PDF format, printable on both A4 and US letter size paper.

Steering Committee:
George Biros, University of Texas at Austin
Sherry Li, Lawrence Berkeley National Laboratory
Hatem Ltaief, King Abdullah University of Science and Technology
Lois Curfman McInnes, Argonne National Laboratory
Keita Teranishi, Oak Ridge National Laboratory
Ulrike Meier Yang, Lawrence Livermore National Laboratory
Rio Yokota, Tokyo Institute of Technology

Organizing Committee

Michael Bader, Technical University of Munich
Anshu Dubey, Argonne National Laboratory, U.S.

Hartwig Anzt, University of Tennessee, U.S.
Paolo Bientinesi, Umeå University, Sweden
Aparna Chandramowlishwaran, University of California, Irvine, U.S.
Laura Grigori, INRIA Paris, France
Jeff Hammond, NVIDIA, Finland
Jaejin Lee, Seoul National University, Republic of Korea
Bethany Lusch, Argonne National Laboratory, U.S.
Karla V. Morris Wright, Sandia National Laboratories, U.S.
Johann Rudi, Virginia Tech, U.S.
Tetsuya Sakurai, University of Tsukuba, Japan
Edgar Solomonik, University of Illinois at Urbana-Champaign, U.S.

Proceedings Paper Committee:
Prasanna Balaprakash - Oak Ridge National Laboratory
Grey Ballard - Wake Forest University
Costas Bekas - Citadel Securities
Luc Berger-Vergiat - Sandia National Laboratories
Aurelien Bouteiller - University of Tennessee Knoxville
Jee Choi - University of Oregon
Aditya Devarakonda - Wake Forest University
Edoardo Angelo Di Napoli - Forschungszentrum Jülich
Nikoli Dryden - ETH Zurich
Wilfried Gansterer - University of Vienna
David Gardner - Lawrence Livermore National Laboratory
Oded Green - NVIDIA/Georgia Institute of Technology
Scott Klasky - Oak Ridge National Laboratory
Alicia Klinvex - Naval Nuclear Laboratory
Wookeun Jung - Moreh Inc.
Jiajia Li - North Carolina State University
Yang Liu - Lawrence Berkeley National Laboratory
Hatem Ltaief - King Abdullah University of Science and Technology
Tanu Malik - DePaul University
Christoph Niethammer – HRLS, Universität Stuttgart
Dirk Pflüger - Universität Stuttgart
Damian Rouson - Lawrence Berkeley National Laboratory
Ilya Safro - University of Delaware
John Shalf - Lawrence Berkeley National Laboratory
Michelle Strout - Hewlett Packard Enterprise (HPE)
Eric de Sturler - Virginia Tech
Stanimire Tomov - University of Tennessee Knoxville
Bora Ucar - CNRS and LIP ENS Lyon
Emil Vatai - Riken R-CCS
Stefano Zampini - King Abdullah University of Science and Technology