PPAM: Parallel Processing and Applied Mathematics



Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
PPAM 2024 15th International Conference on Parallel Processing & Applied Mathematics
Sep 8, 2024 - Sep 11, 2024 Ostrava, Czech Republic Apr 30, 2024
PPAM 2022 14th International Conference on Parallel Processing and Applied Mathematics
Sep 11, 2022 - Sep 14, 2022 Gdansk, Poland May 20, 2022
PPAM 2015 11th Int. Conference on Parallel Processing and Applied Mathematics
Sep 6, 2015 - Sep 9, 2015 Krakow May 11, 2015
PPAM 2013 10th International Conference on Parallel Processing and Applied Mathematics
Sep 8, 2013 - Sep 11, 2013 Warsaw, Poland May 6, 2013
Sep 11, 2011 - Sep 14, 2011 Torun, Poland Apr 30, 2011

Present CFP : 2024

The PPAM 2024 conference, the fifteenth 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.

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 Ostrava, a city in the
northeast of the Czech Republic and the capital of the Moravian-Silesian
Region. PPAM 2024 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, 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 (tentative list)

Prasanna Balaprakash Oak Ridge National Laboratory, USA
Ivona Brandic Vienna University of Technology, Austria
Suma George Cardwell Sandia National Laboratory, USA
Jack Dongarra University of Tennessee and ORNL, USA
Anshu Dubey Argonne National Laboratory, USA
Lin Gan Tsinghua University & National Supercomputing Center in Wuxi, China
Torsten Hoefler ETH Zurich, Switzerland
Klaus Jansen University of Kiel, Germany
Jesus Labarta Barcelona Supercomputing Center, Spain
Satoshi Matsuoka Tokyo Institute of Technology, Japan
Filippo Mantovani Barcelona Supercomputing Center, Spain
Thomas Monz University of Innsbruck & Alpine Quantum Technologies, Austria
Manish Parashar University of Utah, USA
Olga Pearce Lawrence Livermore National Laboratory, USA
John Shalf Lawrence Berkeley National Laboratory, USA
Amarda Shehu George Mason University, USA
Michela Taufer University of Tennessee, USA
Jeffrey Vetter Oak Ridge National Laboratory, USA


- Workshop on Models, Algorithms and Methodologies for Hierarchical
Parallelism in New HPC Systems
- Workshop on Language-Based Parallel Programming Models
- 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
- 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. Regular papers are not to
exceed 14 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 2024 will be included in
the proceedings, which are planned to 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.

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


Submission of Papers: April 30, 2024
Notification of Acceptance: June 7, 2024
Camera-Ready Papers: Nov. 2, 2024

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