The PPAM 2026 conference, the sixteenth in a series, will cover topics
in parallel and distributed computing, including theory and applications,
as well as applied mathematics. The focus will be on models, algorithms,
and software tools that facilitate efficient and convenient utilization
of modern parallel and distributed computing architectures, as well as
on large-scale applications. Special attention is expected to be given
to the future of computing beyond Moore's Law and AI/ML approaches in
high performance computing, with particular emphasis on LLMs.

PPAM is a biennial conference started in 1994, with the proceedings
published by Springer in the Lecture Notes in Computer Science series.
Next year the PPAM conference will take place in Poznan, an important
industrial, academic, and cultural center in the western part of Poland,
one of the 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
the 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.

Topics of interest include, but are not limited to:
- Parallel/distributed architectures, emerging technologies
- Quantum computing and communication
- Neuromorphic computing
- Computing beyond Moore's Law
- Cluster, cloud, edge and fog computing
- Multi-core and many-core parallel computing, GPU computing
- Heterogeneous/hybrid computing and accelerators
- Parallel/distributed algorithms: numerical and non-numerical
- Scheduling, mapping, load balancing
- Performance analysis and prediction
- Performance issues on various types of parallel systems
- Auto-tuning and auto-parallelization: methods, tools, and applications
- Power and energy aspects of computation
- Parallel/distributed programming
- Tools and environments for parallel/distributed computing
- Security and dependability in parallel/distributed environments
- HPC numerical linear algebra
- HPC methods of solving differential equations
- Evolutionary computing, meta-heuristics, and neural networks
- Machine learning, artificial intelligence, and HPC, with special
emphasis on LLMs
- HPC interval analysis
- Applied computing in mechanics, material processing, biology and
medicine, physics, chemistry, business, environmental modeling, etc.
- Applications of parallel/distributed computing
- Methods and tools for parallel solution of large-scale problems,
including artificial intelligence and machine learning applications


KEYNOTE SPEAKERS (tentative list)

Rosa Badia Barcelona Supercomputing Center, Spain
Keren Bergman Columbia University, USA
Abhinav Bhatele University of Marylend, USA
Nick Brown EPCC at 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
Martin Schulz Technical University of Munich, Germany
John Shalf Lawrence Berkeley National Laboratory, USA
Bronis de Supinski Lawrence Livermore National Laboratory, USA
Michela Taufer University of Tennessee, USA
Jeffrey Vetter Oak Ridge National Laboratory, USA
Tobias Weinzierl Durham University, UK

WORKSHOPS, MINISYMPOSIA, SPECIAL SESSIONS (preliminary list)

- RISC-V Workshop
- Workshop on Models, Algorithms and Methodologies for Hierarchical
Parallelism in New HPC Systems
- Workshop on Language-Based Parallel Programming Models
- Workshop on Asynchronous Many-Task Systems for Exascale
- Workshop on Quantum Computing and Communication
- Workshop on Scheduling for Parallel Computing
- Workshop on Applications of Machine Learning and Artificial Intelligence
in High Performance Computing
- Workshop on Advancements of Global Challenges Applications
- Workshop on Applied High Performance Numerical Algorithms for PDEs
- Special Session on Parallel SVD/EVD and its Applications in Matrix Computations
- Minisymposium of HPC Applications in Physical Science
- Workshop on Complex Collective Systems

PAPER SUBMISSION AND PUBLICATION
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.

JOURNAL SPECIAL ISSUES
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.

CONTACT
Roman Wyrzykowski Czestochowa University of Technology, Poland
e-mail: roman@icis.pcz.pl, phone: +48 668 476 840
Ewa Deelman University of Southern California, USA
e-mail: deelman@isi.edu

IMPORTANT DATES

Submission of Papers: April 24, 2026
Notification of Acceptance: May 31, 2026
Camera-Ready Papers: Nov. 2, 2026