[hpc-announce] [CFP] PPAM 2022 - Announcement and Call for Papers

Roman Wyrzykowski roman at icis.pcz.pl
Tue Dec 14 13:58:53 CST 2021

We apologize if you received multiple copies of this Call for Papers
Please feel free to distribute it to those who might be interested

      ******                  PPAM 2022                   ******
      ******       14th INTERNATIONAL CONFERENCE ON       ******

Gdansk, Poland,
September 11-14, 2022

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. A 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.
Next 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)

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
Satoshi Matsuoka     Tokyo Institute of Technology, Japan
Kate Keahey          University of Chicago & Argonne National Lab, USA
Simon McIntosh-Smith  University of Bristol, United Kingdom
Enrique S. Quintana-Orti  Universitat Politecnica de Valencia, Spain
Boleslaw Szymanski   Rensselaer Polytechnic Institute, 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 Parallel Matrix Factorizations

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 into 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 Int. Journal of High Performance Computing Applications;
Concurrency and Computation: Practice and Experience, and Journal of
Parallel and Distributed Computing

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

Submission of Papers:         May 6, 2022
Notification of Acceptance:   June 17, 2022
Camera-Ready Papers:          Nov. 2, 2022

More information about the hpc-announce mailing list