Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866918175371689984 |
|---|---|
| author | Shukla, Nitin Romeo, Alessandro Caravita, Caterina Redenti, Michael Vavrik, Radim Riha, Lubomir Mignone, Andrea Rossazza, Marco Truzzi, Stefano Tornatore, Luca Ragagnin, Antonio Castro, Tiago Karademir, Geray S. Dolag, Klaus Deka, Pranab J. Bacchini, Fabio Wilhelm, Rostislav-Paul Gregori, Daniele Boella, Elisabetta |
| author_facet | Shukla, Nitin Romeo, Alessandro Caravita, Caterina Redenti, Michael Vavrik, Radim Riha, Lubomir Mignone, Andrea Rossazza, Marco Truzzi, Stefano Tornatore, Luca Ragagnin, Antonio Castro, Tiago Karademir, Geray S. Dolag, Klaus Deka, Pranab J. Bacchini, Fabio Wilhelm, Rostislav-Paul Gregori, Daniele Boella, Elisabetta |
| contents | Developing and redesigning astrophysical, cosmological, and space plasma numerical codes for existing and next-generation accelerators is critical for enabling large-scale simulations. To address these challenges, the SPACE Center of Excellence (SPACE-CoE) fosters collaboration between scientists, code developers, and high-performance computing experts to optimize applications for the exascale era. This paper presents our strategy and initial results on the Leonardo system at CINECA for three flagship codes, namely gPLUTO, OpenGadget3 and iPIC3D, using profiling tools to analyze performance on single and multiple nodes. Preliminary tests show all three codes scale efficiently, reaching 80% scalability up to 1,024 GPUs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24175 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System Shukla, Nitin Romeo, Alessandro Caravita, Caterina Redenti, Michael Vavrik, Radim Riha, Lubomir Mignone, Andrea Rossazza, Marco Truzzi, Stefano Tornatore, Luca Ragagnin, Antonio Castro, Tiago Karademir, Geray S. Dolag, Klaus Deka, Pranab J. Bacchini, Fabio Wilhelm, Rostislav-Paul Gregori, Daniele Boella, Elisabetta Distributed, Parallel, and Cluster Computing Developing and redesigning astrophysical, cosmological, and space plasma numerical codes for existing and next-generation accelerators is critical for enabling large-scale simulations. To address these challenges, the SPACE Center of Excellence (SPACE-CoE) fosters collaboration between scientists, code developers, and high-performance computing experts to optimize applications for the exascale era. This paper presents our strategy and initial results on the Leonardo system at CINECA for three flagship codes, namely gPLUTO, OpenGadget3 and iPIC3D, using profiling tools to analyze performance on single and multiple nodes. Preliminary tests show all three codes scale efficiently, reaching 80% scalability up to 1,024 GPUs. |
| title | Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2510.24175 |