The submission deadline is extended till May 20 !!! 

We are committed to hosting PPAM 2022 on-site and will fulfill all the safety standards prescribed by the government and health authorities pertaining to Covid-19. Therefore, we strongly encourage submissions from people who plan to attend the conference in person. For those who cannot travel, we will offer the possibility of remote participation.

The PPAM 2022 conference, the fourteenth 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, including artificial intelligence and machine learning problems. Special attention is expected to be given to the future of computing beyond Moore's Law.

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.

This year the PPAM conference will take place in Gdansk, the thousand-year-old city on the Baltic coast, the hometown of Hevelius, Fahrenheit, Schopenhauer, Grass, and Walesa.

List of Topics

Topics of interest include, but are not limited to:

• Parallel/distributed architectures, enabling 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
• 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

• Anima Anandkumar             California Institute of Technology, USA
• Hartwig Anzt                       Karlsruhe Institute of Technology, Germany, and University of Tennessee, USA
• Ivona Brandic                     Vienna University of Technology, Austria
• Ümit V. Çatalyürek              Georgia Institute of Technology, USA
• Jack Dongarra                    University of Tennessee and ORNL, USA
• Georg Hager                      University of Erlangen-Nuremberg, Germany
• Torsten Hoefler                   ETHZ Zurich, Switzerland
• Satoshi Matsuoka               Tokyo Institute of Technology, Japan
• Simon Knowles                   Graphcore 
• Simon McIntosh-Smith        University of Bristol, United Kingdom
• Manish Parashar                  Rutgers University, USA
• Enrique S. Quintana-Orti     Universitat Politecnica de Valencia, Spain
• John Shalf                          Lawrence Berkeley National Laboratory, LBNL, USA
• Boleslaw Szymanski            Rensselaer Polytechnic Institute, USA
• Michela Taufer                    University of Tennessee, USA
• Christian Terboven              RWTH Aachen, Germany
• Manuel Ujaldon                   University of Malaga & NVIDIA

Workshops, Minisymposia, Special Sessions

• Special Session on GPU Computing
• Workshop on Models, Algorithms and Methodologies for Hierarchical  Parallelism in New HPC Systems
• Workshop on Quantum Computing and Communication
• Workshop on Language-Based Parallel Programming Models
• Workshop on Scheduling for Parallel Computing
• Workshop on Applications of Machine Learning and Artificial Intelligence  in High Performance Computing
• Workshop on Applied High Performance Numerical Algorithms for PDEs
• Minisymposium of HPC Applications in Physical Science
• Minisymposium on High Performance Computing Interval Methods
• Workshop on Complex Collective Systems
• Special Session on Parallel EVD/SVD and its Application in Matrix Computations

Paper Submission and Publication

Original papers are invited for the conference. Authors should submit full papers using the EasyChair system before May 20. Regular papers are not to exceed 12 pages (LNCS style). Papers will be refereed and accepted on the basis of their scientific merit and relevance to the conference topics. Abstracts of accepted papers will be available during the conference in form of a brochure. Only papers presented at PPAM 2022 will be included in the proceedings, which will 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; Concurrency and Computation Practice and Experience; and Parallel Computing.

Conference Chairs

Roman Wyrzykowski           e-mail: roman@icis.pcz.pl                                                                                          Ewa Deelman                     e-mail: deelman@isi.edu

Important Dates 

• Submission of Papers:           May 06,  May 20, 2022
• Notification of Acceptance:    June 17,  June 25, 2022
• Camera-Ready Papers:          Nov. 2, 2022