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PPAM 2022 : 14th International Conference on Parallel Processing and Applied Mathematics


Conference Series : Parallel Processing and Applied Mathematics
When Sep 11, 2022 - Sep 14, 2022
Where Gdansk, Poland
Submission Deadline May 20, 2022
Notification Due Jun 25, 2022
Final Version Due Nov 2, 2022
Categories    HPC   parallel computing   applied mathematics   machine learning

Call For Papers

****** CALL FOR PAPERS ******
****** PPAM 2022 ******

Gdansk, Poland,
September 11-14, 2022

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 thirteenth 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.

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 (preliminary list)

Anima Anandkumar     California Institute of Technology, USA
Keren Bergman Columbia University, 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
Kate Keahey University of Chicago & Argonne National Lab, USA
Simon Knowles Graphcore
Simon McIntosh-Smith University of Bristol, United Kingdom
Enrique S. Quintana-Orti Universitat Politecnica de Valencia, Spain
John Shalf Lawrence Berkeley National Laboratory, LBNL, USA
Boleslaw Szymanski Rensselaer Polytechnic Institute, USA
Michele Taufer University of Tennessee, USA
Manuel Ujaldon University of Malaga & NVIDIA


- 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 on Parallel EVD/SVD and its Application
in Matrix Computations

Original papers are invited for the conference. Authors should submit
full papers using the EasyChair system before May 6. 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 is planned 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; Concurrency and Computation Practice
and Experience, and Parallel Computing.

Roman Wyrzykowski e-mail:
Ewa Deelman e-mail:

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

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