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 Katowice and Krakow airports and conference hotels in Ostrava.
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" abstract | |
Ivona Brandic Vienna University of Technology, Austria | |
Suma George Cardwell Sandia National Laboratories, USA | |
Jack Dongarra University of Tennessee and ORNL, USA "Hits, Flops, and More" abstract | |
Anshu Dubey Argonne National Laboratory, USA "Design, Code-generation, and Synthesis for Next Generation Science Codes" abstract | |
Lin Gan Tsinghua University & National Supercomputing Center in Wuxi, China "Extreme Scale Earthquake Simulation with Crossing Multi-faults and Topography" abstract | |
Torsten Hoefler ETH Zurich, Switzerland | |
Klaus Jansen University of Kiel, Germany "New Algorithmic Results for Scheduling via Integer Linear Programming" abstract | |
Jesus Labarta Barcelona Supercomputing Center, Spain "Pushing RISC-V into HPC" abstract | |
Filippo Mantovani Barcelona Supercomputing Center, Spain "A RISC-V vector CPU for High-Performance Computing: architecture, platforms and tools to make it happen" abstract | |
Satoshi Matsuoka Tokyo Institute of Technology, Japan | |
Thomas Monz University of Innsbruck & Alpine Quantum Technologies, Austria | |
Manish Parashar University of Utah, USA "From the Edge to HPC – Harnessing the Computing Continuum for Science" abstract | |
Olga Pearce Lawrence Livermore National Laboratory, USA "Collaborative continuous benchmarking for HPC" abstract | |
John Shalf Lawrence Berkeley National Laboratory, LBNL, USA "Investigating Chiplets for Scalable and Cost Effective HPC Beyond Exascale" abstract | |
Amarda Shehu George Mason University, USA | |
Michela Taufer University of Tennessee, USA | |
Jeffrey Vetter Oak Ridge National Laboratory, USA "Deep Codesign in the Post-Exascale Computing Era" abstract |