15th International Conference on

Processing &
15th International Conference on Parallel Processing & Applied Mathematics
Ostrava, Czech Republic, September 8-11, 2024

Celebrating the 30th Anniversary of PPAM
The first PPAM was held in 1994, in Czestochowa

NVIDIA Supermicro Hewlett Packard Enterprise Lenovo Codasip CemiDynamics PCSS KI PAN Springer

Preliminary Schedule for PPAM 2024 Conference

We are pleased to announce the release of the preliminary schedule for the PPAM 2024 conference, including the list of submissions with day of their presentations.
For details please visit https://ppam.edu.pl/program

On-line registration

On-line registration is already available!!

PPAM 2024

The PPAM 2024 conference is organized by the Department of Computer Science of the Czestochowa University of Technology together with the Faculty of Electrical Engineering and Computer Science and IT4Innovations National Supercomputing Center of the Technical University of Ostrava, in technical cooperation with Poznań Supercomputing and Networking Center, under the patronage of the Committee of Informatics of the Polish Academy of Sciences.

This 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. PPAM2024 will be held from September 8 to September 11, 2024, at the Technical University of Ostrava, at the Faculty of Electrical Engineering and Computer Science.

17. listopadu 2172/15, 708 00 Ostrava-Poruba (set the route in google maps )


The PPAM 2024 conference, fifteenth in a series, will cover topics in parallel and distributed processing, 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. A 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. The PPAM Proceedings are indexed in main databases such as Web of Science, Scopus, and DBLP.

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.

The organizers will provide shuttles between Krakow airport and conference hotels in Ostrava.

KEYNOTE SPEAKERS (tentative list)

Photo of Prasanna Balaprakash
Prasanna Balaprakash
Oak Ridge National Laboratory, USA
"Overview of Oak Ridge National Laboratory’s AI Initiative: Advancing Secure, Trustworthy, and Energy-Efficient AI at Scale for Scientific Discovery"
Photo of Ivona Brandic
Ivona Brandic
Vienna University of Technology, Austria
"Building Blocks of Quantum-Accelerated Supercomputing"
Photo of Suma George Cardwell
Suma George Cardwell
Sandia National Laboratories, USA
"Neuromorphic Computing: Towards Brain-like Energy Efficiency"
Photo of Jack Dongarra
Jack Dongarra
University of Tennessee and ORNL, USA
"Hits, Flops, and More"
Photo of Anshu Dubey
Anshu Dubey
Argonne National Laboratory, USA
"Design, Code-generation, and Synthesis for Next Generation Science Codes"
Photo of Lin Gan
Lin Gan
Tsinghua University & National Supercomputing Center in Wuxi, China
"Extreme Scale Earthquake Simulation with Crossing Multi-faults and Topography"
Photo of Torsten Hoefler
Torsten Hoefler
ETH Zurich, Switzerland
Photo of Klaus Jansen
Klaus Jansen
University of Kiel, Germany
"New Algorithmic Results for Scheduling via Integer Linear Programming"
Photo of Jesus Labarta
Jesus Labarta
Barcelona Supercomputing Center, Spain
"Pushing RISC-V into HPC"
Photo of Filippo Mantovani
Filippo Mantovani
Barcelona Supercomputing Center, Spain
"A RISC-V vector CPU for High-Performance Computing: architecture, platforms and tools to make it happen"
Photo of Satoshi Matsuoka
Satoshi Matsuoka
Tokyo Institute of Technology, Japan
"Beyond Fugaku/Exascale--- Evolving Computing Towards the Next Generation at Riken R-CCS: AI for Science TRIP-AGIS, JHPC-Quantum, and FugakuNEXT"
Photo of Thomas Monz
Thomas Monz
University of Innsbruck & Alpine Quantum Technologies, Austria
Photo of Dhabaleswar K. Panda
Dhabaleswar K. Panda
Ohio State University, USA
"Designing Converged Middleware for HPC, AI, Big Data, and Data Science"
Photo of Manish Parashar
Manish Parashar
University of Utah, USA
"From the Edge to HPC – Harnessing the Computing Continuum for Science"
Photo of Olga Pearce
Olga Pearce
Lawrence Livermore National Laboratory, USA
"Collaborative continuous benchmarking for HPC"
Photo of John Shalf
John Shalf
Lawrence Berkeley National Laboratory, LBNL, USA
"Investigating Chiplets for Scalable and Cost Effective HPC Beyond Exascale"
Photo of Amarda Shehu
Amarda Shehu
George Mason University, USA
"Strengthening AI to Enable Scientific Discovery"
Photo of Michela Taufer
Michela Taufer
University of Tennessee, USA
"Analytics4NN: Accelerating Neural Architecture Search through Modeling and High-Performance Computing Techniques"
Photo of Gabriele Paciucci
Gabriele Paciucci
Nvidia , Principal Solution Architect EMEA
Photo of Michela Taufer
Vineet Tyagi
Supermicro, System Architekt EMEA
Photo collage Prasanna Balaprakash Prasanna Balaprakash
Photo collage Ivona Brandic Ivona Brandic
Photo collage Suma George Cardwell Suma George Cardwell
Photo collage Jack Dongarra Jack Dongarra
Photo collage Anshu Dubey Anshu Dubey
Photo collage Lin Gan Lin Gan
Photo collage Torsten Hoefler Torsten Hoefler
Photo collage Klaus Jansen Klaus Jansen
Photo collage Jesus Labarta Jesus Labarta
Photo collage Filippo Mantovani Filippo Mantovani
Photo collage Satoshi Matsuoka Satoshi Matsuoka
Photo collage Thomas Monz Thomas Monz
Photo collage Dhabaleswar K. Panda Dhabaleswar K. Panda
Photo collage Manish Parashar Manish Parashar
Photo collage Olga Pearce Olga Pearce
Photo collage John Shalf John Shalf
Photo collage Amarda Shehu Amarda Shehu
Photo collage Michela Taufer Michela Taufer


Roman Wyrzykowski

Roman Wyrzykowski


Czestochowa University of Technology, Poland

Roman Wyrzykowski received the MSc and PhD degrees from Kiev Polytechnic Institute in Computer Science, in 1982 and 1986, respectively. Since 1982, he is employed at Czestochowa University of Technology, Poland, where currently, he is a Full Professor in the Department of Computer Science. His fields of expertise are: parallel and distributed computing, cloud and edge technologies, HPC co-design technologies, performance modeling and optimization, parallel computing applications, accelerating fluid dynamic simulation with machine learning methods, etc. Since 1994, he has chaired the program committee of the PPAM series of international conferences on parallel processing and applied mathematics. He is an IEEE Senior Member and member of ACM.

Ewa Deelman

Ewa Deelman


University of Southern California, USA

Ewa Deelman received the PhD degree in computer science from Rensselaer Polytechnic Institute. She is currently a research professor with the Computer Science Department and the assistant director for the Science Automation Technologies group at the University of Southern California Information Sciences Institute. Her research focuses on distributed computing, in particular regarding how to best support complex scientific applications on a variety of computational environments, including campus clusters, clouds, and high-performance and high-throughput computing systems. Dr. Deelman is a AAAS, IEEE, and USC/ISI Felow.


prof. Roman Wyrzykowski
Phone: +48 668 476 840
Fax: +48 34 3250 589
e-mail: roman@icis.pcz.pl

Department of Computer Science
Czestochowa University of Technology
Dabrowskiego 69,
42-201 Czestochowa, Poland

panorama of the VSB campus

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