[hpc-announce] CFP: PPAM 2019 - Int. Conference on Parallel Processing & Applied Mathematics

Roman Wyrzykowski roman at icis.pcz.pl
Mon Mar 18 08:47:41 CDT 2019

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       ******               CALL FOR PAPERS                ******
       ******                  PPAM 2019                   ******
       ******       13th INTERNATIONAL CONFERENCE ON       ******

Bialystok, Poland,
September 8-11, 2019

The PPAM 2019 conference, 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 which 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.

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 will take place in
Bialystok, the largest city in northeastern Poland, academic and cultural
centre, located close to the world-famous Bialowieza Forest.

Topics of interest include, but are not limited to:
- Parallel/distributed architectures, enabling technologies
- Cluster, cloud 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-parallelisation: 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
- Neuromorphic computing

KEYNOTE SPEAKERS (preliminary list)

David A. Bader    Georgia Institute of Technology, USA
Anne Benoit       ENS Lyon, France
Mike Davies       Intel Labs, Intel Corporation
Jack Dongarra     University of Tennessee and ORNL, USA
Lin Gan Tsinghua  University & National Supercomputing
                   Center in Wuxi, China
Mary Hall         University of Utah, USA
Torsten Hoefler   ETH Zurich, Switzerland
Kate Keahey       University of Chicago & Argonne Nat. Lab, USA
Alexey Lastovetsky    University College Dublin, Ireland
Miron Livny       University of Wisconsin, USA
Satoshi Matsuoka  Tokyo Institute of Technology, Japan
Bernd Mohr        Juelich Supercomputing Centre, Germany
Leonel Sousa      Technical University of Lisbon, Portugal
Boleslaw Szymanski    Rensselaer Polytechnic Institute, USA
Manuel Ujaldon    University of Malaga, Spain
Jeffrey Vetter    ORNL & Georgia Institute of Technology, USA
Tobias Weinzierl  Durham University, United Kingdom


- Special Session on GPU Computing
- Special Session on Parallel Matrix Factorizations
- Workshop on Models, Algorithms and Methodologies for Hierarchical
Parallelism in New HPC Systems
- Workshop on Energy Aspects of Computation
- Special Session on Tools for Energy Efficient Computing
- Workshop on Scheduling for Parallel Computing
- Workshop on Language-Based Parallel Programming Models
- Workshop on PGAS Programming
- 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

Original papers are invited for the conference. Authors should submit
full papers using the EasyChair system before April 21. Regular papers
are not to exceed 10 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 2019 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; Journal
of Parallel and Distributed Computing; Concurrency and Computation:
Practice and Experience, and The Journal of Supercomputing.

Roman Wyrzykowski e-mail: roman at icis.pcz.pl


Submission of Papers: April 21, 2019
Notification of Acceptance: May 31, 2019
Camera-Ready Papers: Nov. 2, 2019

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