15th International Conference on

Parallel
Processing &
Applied
Mathematics
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


HONORARY PATRONAGE
The PPAM 2024 conference is under the honorary patronage of the city of Ostrava.

NVIDIA Supermicro AMD HPE Lenovo Codasip CemiDynamics PCSS KI PAN Springer
.

The deadline for submitting the camera-ready papers extended!!!

Due to multiple requests from authors, the deadline for submitting the camera-ready
versions of the papers accepted and presented at PPAM 2024 is extended to November 8th, 2024.


PPAM 2024 Session Recordings Already Available

Session recordings are available on the conference site: program.
All recordings are protected by a password sent in e-mail.


Photo gallery is now available!!!

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Author's Instructions for Accepted Contributions!!

Author's Instructions for Accepted Contributions are already available!!!


Turing Laureate Jack Dongarra discusses HPC challenges

We invite you to read the interviewgiven by Jack Dongarra during the conference. [download pdf file]


PPAM 2024 Special Award for the best paper presented at the First PPAM Workshop on RISC-V

Based on the reviewers’ reports, the Workshop chairs decided to give this award, including 400 euros funded by sponsors - Codasip and Semidynamics, to the paper:

  • Pablo Vizcaino Serrano, Filippo Mantovani, Jesus Labarta, Roger Ferrer - RAVE: RISC-V Analyzer of Vector Executions, a QEMU tracing plugin

PPAM Best Paper Award

The International Conference on Parallel Processing and Applied Mathematics (PPAM) Best Paper Award is given upon recommendation of the PPAM Chairs and Program Committee in recognition of the research paper quality, originality and significance of the work in high performance computing.

The PPAM Best Paper was first awarded at PPAM 2019 in Bialystok.

PPAM 20224 Winner for Main Track

  • Sergio Iserte, Iker Martín Álvarez, Krzysztof Rojek, José I. Aliaga, Maribel Castillo and Antonio J. Peña - Towards the Democratization and Standardization of Dynamic Resources with MPI Spawning

PPAM 2024 Winner for Workshops

  • Mario Rüttgers, Fabian Hübenthal, Makoto Tsubokura and Andreas Lintermann - Parallel reinforcement learning and Gaussian process regression for improved physics-based nasal surgery planning

PPAM 2024 Winner for Student Paper

  • Gabriel Hévr and Ivan Šimeček - PPQSort: Pattern Parallel Quicksort

To stimulate potential authors' interest in submitting high-quality articles to the PPAM conference, one author of each winning paper will receive a significant reduction in the conference fee for the next PPAM conference. As we have three winning papers in PPAM 2024, one author of each work gets at least a 50% discount on the conference fee for PPAM 2026.


PPAM 2024
15th INTERNATIONAL CONFERENCE ON
PARALLEL PROCESSING AND APPLIED MATHEMATICS

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 )



PPAM2024 OVERVIEW

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 Ivona Brandic
 
Photo of Ivona Brandic
Ivona Brandic
Vienna University of Technology, Austria
 
Vincenzo De Maio
Vienna University of Technology, Austria

"Building Blocks of Quantum-Accelerated Supercomputing"
abstract
Photo of Suma George Cardwell
Suma George Cardwell
Sandia National Laboratories, USA
"Neuromorphic Computing: Towards Brain-like Energy Efficiency"
abstract
Photo of Jack Dongarra
Jack Dongarra
University of Tennessee and ORNL, USA
"Hits, Flops, and More"
abstract
Photo of Anshu Dubey
Anshu Dubey
Argonne National Laboratory, USA
"Design, Code-generation, and Synthesis for Next Generation Science Codes"
abstract
Photo of Lin Gan
Lin Gan
Tsinghua University & National Supercomputing Center in Wuxi, China
"Extreme Scale Earthquake Simulation with Crossing Multi-faults and Topography"
abstract
Photo of Torsten Hoefler
Torsten Hoefler
ETH Zurich, Switzerland
"AI for High-Performance Climate and Earth Virtualization Engines"
abstract
Photo of Klaus Jansen
Klaus Jansen
University of Kiel, Germany
"New Algorithmic Results for Scheduling via Integer Linear Programming"
abstract
Photo of Dieter Kranzlmüller
Dieter Kranzlmüller
Leibniz Supercomputing Centre (LRZ) and Ludwig-Maximilians-Universität Munich (LMU), Germany
Photo of Jesus Labarta
Jesus Labarta
Barcelona Supercomputing Center, Spain
"Pushing RISC-V into HPC"
abstract
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"
abstract
Photo of Satoshi Matsuoka
Satoshi Matsuoka
RIKEN Center for Computational Science, 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 Dhabaleswar K. Panda
Dhabaleswar K. Panda
Ohio State University, USA
"Designing Converged Middleware for HPC, AI, Big Data, and Data Science"
abstract
Photo of Manish Parashar
Manish Parashar
University of Utah, USA
"From the Edge to HPC – Harnessing the Computing Continuum for Science"
abstract
Photo of Massimiliano Lupo Pasini
Massimiliano Lupo Pasini
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"
abstract
Photo of Olga Pearce
Olga Pearce
Lawrence Livermore National Laboratory, USA
"Collaborative continuous benchmarking for HPC"
abstract
Photo of John Shalf
John Shalf
Lawrence Berkeley National Laboratory, LBNL, USA
"Investigating Chiplets for Scalable and Cost Effective HPC Beyond Exascale"
abstract
Photo of Amarda Shehu
Amarda Shehu
George Mason University, USA
"Strengthening AI to Enable Scientific Discovery"
abstract
Photo of Michela Taufer
Michela Taufer
University of Tennessee, USA
"Analytics4NN: Accelerating Neural Architecture Search through Modeling and High-Performance Computing Techniques"
abstract
Photo of Juris Ulmanis
Juris Ulmanis
Alpine Quantum Technology (AQT), Austria
"Bridging the gap: quantum accelerators for HPC"
abstract
Photo of Gabriele Paciucci
Gabriele Paciucci
Nvidia , Principal Solution Architect EMEA
"How to Harness the Power of High-Performance Computing for Machine Learning and Artificial Intelligence"
abstract
Photo of Vineet Tyagi
Vineet Tyagi
Supermicro, System Architekt EMEA
"How to Harness the Power of High-Performance Computing for Machine Learning and Artificial Intelligence"
abstract
Photo of Utz-Uwe Haus
Utz-Uwe Haus
Hewlett Packard Enterprise
"Digitial Twins – Past, Present and a Challenging Future "
abstract
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 Massimiliano Lupo Pasini Massimiliano Lupo Pasini
Photo collage Olga Pearce Olga Pearce
Photo collage John Shalf John Shalf
Photo collage Amarda Shehu Amarda Shehu
Photo collage Michela Taufer Michela Taufer

PPAM2024 CHAIRS


Roman Wyrzykowski

Roman Wyrzykowski

CHAIR OF PROGRAM COMMITTEE

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

CO-CHAIR OF PROGRAM COMMITTEE

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.


CONTACT

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

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