- https://www.esiwace.eu/events/parallel-processing-applied-mathematics-ppam
- Parallel Processing & Applied Mathematics - PPAM
- 2024-09-08T00:00:00+02:00
- 2024-09-11T23:59:59+02:00
- Workshop on Advancements of Global Challenges Applications
Sep 08, 2024
to
Sep 11, 2024
(Europe/Berlin / UTC200)
Parallel Processing & Applied Mathematics Conference - PPAM
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.
Workshop on Advancements of Global Challenges Applications
The Workshop on Advancements of Global Challenges Applications (AGCA) shall be held in conjunction with the 15th International Conference on Parallel Processing and Applied Mathematics PPAM 2024 in Ostrava, Czech Republic, September 8 - 11, 2024. Global Challenges (GC) addresses problems that require interdisciplinary expertise, and demands for solutions at scale due to their inherent complexity. Thus, GC aims to explore synergies between modelling, data acquisition, simulation, data analysis and visualisation along with achieving better scalability on current and future HPC and AI infrastructures to deliver highly-scalable solutions that can effectively utilise pre-exascale systems. The AGCA workshop is intended to be a forum for the discussion of ideas for the development of high-scale simulation applications tackling GC demands, with particular emphasis on their scalability, efficiency and co-design.