SIAM Conference on Parallel Processing for Scientific Computing (PP22)

About the Conference

The SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP22) is sponsored by the SIAM Activity Group on Supercomputing. The SIAM International Meshing Roundtable Workshop 2022 (SIAM IMR22), formerly co-located with PP22, will be held virtually.

The Society for Industrial and Applied Mathematics is proud to present the Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in promoting parallel scientific computing, algorithms for parallel systems, and parallel numerical algorithms. The conference is unique in its emphasis on the intersection between high performance scientific computing and scalable algorithms, architectures, and software. The conference provides a forum for communication among the applied mathematics, computer science, and computational science and engineering communities.

Organizing Committee Co-Chairs

Sherry Li, Lawrence Berkeley National Laboratory, U.S.
Keita Teranishi, Sandia National Laboratories, U.S.

Organizing Committee

Costas Bekas, Citadel Securities, Switzerland
Rob Bisseling, Utrecht University, the Netherlands
Matthias Bolten, Universität Wuppertal, Germany
Sunita Chandrasekaran, University of Delaware, U.S.
Anne C. Elster, Norwegian University of Science and Technology, Norway
Katsuki Fujisawa, Kyushu University, Japan
Lois Curfman McInnes, Argonne National Laboratory, U.S.
Olaf Schenk, Università della Svizzera italiana, Switzerland
Adrian Tate, NAG, United Kingdom

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

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.

Funding Agency