The PPAM 2026 conference, sixteenth in a series, will cover topics in parallel and distributed processing,
including theory and applications, as well as applied mathematics. The focus will be on models, algorithms,
and software tools which facilitate efficient and convenient utilization of modern parallel and distributed
computing architectures, as well as on large-scale applications. A special attention is expected to be given
to the future of computing beyond Moore's Law, and AI/ML approaches in high performance computing.
PPAM is a biennial conference started in 1994, with the proceedings published by Springer in the Lecture Notes in Computer Sciences series.
The PPAM Proceedings are indexed in main databases such as Web of Science, Scopus, and DBLP.
Next year, the PPAM conference is scheduled to take place in Poznan, the important industrial, academic and
cultural center in the western part of Poland, one of four historical capitals of medieval Poland.
The PPAM 2026 conference is organized by the Department of Computer Science of the Czestochowa University of
Technology together with the Poznan University of Technology, in technical cooperation with Poznań Supercomputing
and Networking Center.
PPAM 2026 is expected to be an in-person conference with the possibility of remote participation. However, we
strongly encourage in-person participation, as PPAM also has very compelling networking aspects and a social
and cultural program.
 | Rosa Badia Barcelona Supercomputing Center, Spain |
 | Abhinav Bhatele University of Maryland, USA |
 | Nick Brown The University of Edinburgh,UK |
 | Jack Dongarra University of Tennessee and ORNL, USA |
 | John Gustafson Arizona State University, USA |
 | Torsten Hoefler ETH Zurich, Switzerland |
 | Miron Livny University of Wisconsin, USA |
 | Filippo Mantovani Barcelona Supercomputing Center, Spain |
 | Satoshi Matsuoka RIKEN Center for Computational Science, Japan |
 | John Shalf Lawrence Berkeley National Laboratory, LBNL, USA |
 | Bronis de Supinski Lawrence Livermore National Laboratory, USA |
 | Michela Taufer University of Tennessee, USA |
 | Jeffrey Vetter Oak Ridge National Laboratory, USA |
Author's Instruction for Camera-Ready Papers!!
Original papers are invited for the conference. Authors should submit full papers using the EasyChair system. Regular papers are not to exceed 15 pages (LNCS style). Articles will be refereed and accepted based on their scientific merit and relevance to the conference topics. Abstracts of accepted papers will be available as a brochure during the conference. Only papers presented at PPAM 2026 will be included in the proceedings, which are planned to be published after the conference by Springer in the LNCS series.
Like the previous PPAM editions, the authors of the best papers selected by the Program Committee will be invited to submit extended versions of their work to special issues of journals with Impact Factor such as Future Generation Computer Systems; Int. Journal of High Performance Computing Applications; Journal of Parallel and Distributed Computing.
| Submission of Papers: | April 24, 2026 |
| Notification of Acceptance: | May 31, 2026 |
| Camera-Ready Papers: | Nov. 2, 2026 |
CHAIR OF PROGRAM COMMITTEE
Czestochowa University of Technology, Poland
Roman Wyrzykowski received the MSc and PhD degrees from Kiev Polytechnic Institute in Computer Science, in 1982 and 1986, respectively. Since 1982, he is employed at Czestochowa University of Technology, Poland, where currently, he is a Full Professor in the Department of Computer Science. His fields of expertise are: parallel and distributed computing, cloud and edge technologies, HPC co-design technologies, performance modeling and optimization, parallel computing applications, accelerating fluid dynamic simulation with machine learning methods, etc. Since 1994, he has chaired the program committee of the PPAM series of international conferences on parallel processing and applied mathematics. He is an IEEE Senior Member and member of ACM.
CO-CHAIR OF PROGRAM COMMITTEE
University of Southern California, USA
Ewa Deelman received the PhD degree in computer science from Rensselaer Polytechnic Institute. She is currently a research professor with the Computer Science Department and the assistant director for the Science Automation Technologies group at the University of Southern California Information Sciences Institute. Her research focuses on distributed computing, in particular regarding how to best support complex scientific applications on a variety of computational environments, including campus clusters, clouds, and high-performance and high-throughput computing systems. Dr. Deelman is a AAAS, IEEE, and USC/ISI Felow.