EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915745877721088 |
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| author | Shukla, Nitin Romeo, Alessandro Caravita, Caterina Riha, Lubomir Vysocky, Ondrej Strakos, Petr Jaros, Milan Barbosa, João Vavrik, Radim Mignone, Andrea Rossazza, Marco Truzzi, Stefano Berta, Vittoria Colonnelli, Iacopo Medić, Doriana Boella, Elisabetta Gregori, Daniele Sciacca, Eva Tornatore, Luca Taffoni, Giuliano Deka, Pranab J. Bacchini, Fabio Wilhelm, Rostislav-Paul Doulis, Georgios Pierre, Khalil Rezzolla, Luciano Colman, Tine Commerçon, Benoît Bouizi, Othman Kuhn, Matthieu Raffin, Erwan Sergent, Marc Wissing, Robert Marin, Guillermo Dolag, Klaus Karademir, Geray S. Perna, Gino Zanotti, Marisa Trujillo-Gomez, Sebastian |
| author_facet | Shukla, Nitin Romeo, Alessandro Caravita, Caterina Riha, Lubomir Vysocky, Ondrej Strakos, Petr Jaros, Milan Barbosa, João Vavrik, Radim Mignone, Andrea Rossazza, Marco Truzzi, Stefano Berta, Vittoria Colonnelli, Iacopo Medić, Doriana Boella, Elisabetta Gregori, Daniele Sciacca, Eva Tornatore, Luca Taffoni, Giuliano Deka, Pranab J. Bacchini, Fabio Wilhelm, Rostislav-Paul Doulis, Georgios Pierre, Khalil Rezzolla, Luciano Colman, Tine Commerçon, Benoît Bouizi, Othman Kuhn, Matthieu Raffin, Erwan Sergent, Marc Wissing, Robert Marin, Guillermo Dolag, Klaus Karademir, Geray S. Perna, Gino Zanotti, Marisa Trujillo-Gomez, Sebastian |
| contents | High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology (A&C), helping scientists investigate and understand complex astrophysical phenomena. Taking advantage of exascale computing capabilities is essential for these efforts. However, the unprecedented architectural complexity of exascale systems impacts legacy codes. The SPACE Centre of Excellence (CoE) aims to re-engineer key astrophysical codes to tackle new computational challenges by adopting innovative programming paradigms and software (SW) solutions. SPACE brings together scientists, code developers, HPC experts, hardware (HW) manufacturers, and SW developers. This collaboration enhances exascale A&C applications, promoting the use of exascale and post-exascale computing capabilities. Additionally, SPACE addresses high-performance data analysis for the massive data outputs from exascale simulations and modern observations, using machine learning (ML) and visualisation tools. The project facilitates application deployment across platforms by focusing on code repositories and data sharing, integrating European astrophysical communities around exascale computing with standardised SW and data protocols. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_18883 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale Shukla, Nitin Romeo, Alessandro Caravita, Caterina Riha, Lubomir Vysocky, Ondrej Strakos, Petr Jaros, Milan Barbosa, João Vavrik, Radim Mignone, Andrea Rossazza, Marco Truzzi, Stefano Berta, Vittoria Colonnelli, Iacopo Medić, Doriana Boella, Elisabetta Gregori, Daniele Sciacca, Eva Tornatore, Luca Taffoni, Giuliano Deka, Pranab J. Bacchini, Fabio Wilhelm, Rostislav-Paul Doulis, Georgios Pierre, Khalil Rezzolla, Luciano Colman, Tine Commerçon, Benoît Bouizi, Othman Kuhn, Matthieu Raffin, Erwan Sergent, Marc Wissing, Robert Marin, Guillermo Dolag, Klaus Karademir, Geray S. Perna, Gino Zanotti, Marisa Trujillo-Gomez, Sebastian Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology (A&C), helping scientists investigate and understand complex astrophysical phenomena. Taking advantage of exascale computing capabilities is essential for these efforts. However, the unprecedented architectural complexity of exascale systems impacts legacy codes. The SPACE Centre of Excellence (CoE) aims to re-engineer key astrophysical codes to tackle new computational challenges by adopting innovative programming paradigms and software (SW) solutions. SPACE brings together scientists, code developers, HPC experts, hardware (HW) manufacturers, and SW developers. This collaboration enhances exascale A&C applications, promoting the use of exascale and post-exascale computing capabilities. Additionally, SPACE addresses high-performance data analysis for the massive data outputs from exascale simulations and modern observations, using machine learning (ML) and visualisation tools. The project facilitates application deployment across platforms by focusing on code repositories and data sharing, integrating European astrophysical communities around exascale computing with standardised SW and data protocols. |
| title | EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale |
| topic | Instrumentation and Methods for Astrophysics Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2512.18883 |