[hpc-announce] SIAM PP22 Proceedings Paper Deadline October 15th, Final Extension

[Teranishi, Keita]

In recognition of the difficulties that the COVID-19 pandemic continues to place on our global community, and especially at this time of beginning a new academic year, the SIAM PP22 submission deadline is extended.

The submission deadline for Proceeding Paper for the SIAM Conference on Parallel Processing (PP22) has been extended October 15th (AoE).  This is the final. No further extensions.

Submission Site (EasyChair)<https://easychair.org/conferences/?conf=pp22>


SIAM PP22 will be held in hybrid format.  The in-person part will take place at the Hyatt Regency Seattle in Seattle, Washington.

Submission Deadline: October 1st 11:59 PM AoE (Anywhere on Earth)

Please visit www.siam.org/conferences/cm/submissions-and-deadlines/...<https://www.siam.org/conferences/cm/submissions-and-deadlines/pp22-submissions-deadlines> for detailed submission information.

The SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP22) and the SIAM Activity Group on Supercomputing (SIAG-SC) invite research paper submissions 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.

Included Themes

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

Special Themes

  *   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

The research papers will be peer-reviewed. We will use a rigorous academic peer-review process and single-blind reviewing. The reviewers will also nominate papers for best paper and best student paper, and the winners will be finalized during the conference.

Accepted papers will be published in the Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing Conference, will be DOI indexed, and will be accessible through the SIAM proceedings web site. Integration of these papers into the SIAM PP series conference program would be in addition to the standard minisymposia and contributed talks.

Submission format: 10 pages without references. Supplementary material will be allowed.

Deadlines:
Papers due: October 1, 2021
Decisions: Mid November, 2021
Camera-ready copy due: Mid December, 2021

Steering Committee:
George Biros, University of Texas, Austin, U.S.
Matthias Bolten, Universität Wuppertal, Germany
Olaf Schenk, Università della Svizzera italiana, Switzerland
Richard Vuduc, Georgia Institute of Technology, U.S.
Ulrike M. Yang, Lawrence Livermore National Laboratory, U.S.

Proceedings Paper Committee:
Hartwig Anzt, Karlsruhe Institute of Technology, Germany
Prasana Balaprakash, Argonne National Laboratory, U.S.
Grey Ballard, Wake Forest University, U.S.
Costas Bekas, Citadel Securities, Switzerland
Luc Berger-Vergiat, Sandia National Laboratories, U.S.
Paolo Bientinesi, Umeå University, Sweden
George Bosilca, University of Tennessee, Knoxville, U.S.
Eric de Sturler, Virginia Tech, U.S.
Edoardo Di Napoli, Jülich Supercomputing Center, Germany
Anshu Dubey, Argonne National Laboratory, U.S.
David Gardner, Lawrence Livermore National Laboratory, U.S.
Laura Grigori, INRIA Paris, France
Jeff Hammond, NVIDIA, U.S.
Hartmut Kaiser, Louisiana State University, U.S.
Scott Klasky, Oak Ridge National Laboratory, U.S.
Alicia Klinvex, Naval Nuclear Laboratory, U.S.
Jiajia Li, College of William and Mary, U.S.
Weifeng Liu, The China University of Petroleum, China
Yang Liu, Lawrence Berkeley National Laboratory, U.S.
Hatem Ltaief, KAUST, Saudi Arabia
Karla Morris, Sandia National Laboratories, U.S.
Sivasankaran Rajamanickam, Sandia National Laboratories, U.S.
Amanda Randles, Duke University, U.S.
Damian Rouson, Lawrence Berkeley National Laboratory, U.S.
Tetsuya Sakurai, University of Tsukuba, Japan
John Shalf, Lawrence Berkeley National Laboratory, U.S.
Stanmire Tomov, University of Tennessee, Knoxville, U.S.
Bora Uçar, ENS Lyon, France
Rich Vuduc, Georgia Institute of Technology, U.S.
Chao Yang, Peking University, China
Stefano Zampini, KAUST, Saudi Arabia

#SIAMPP22

For additional information, contact the SIAM Conference Department (meetings at siam.org<mailto:meetings at siam.org>).