High Performance Computing (HPC) based simulations are crucial in Astrophysics & 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.

EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale. Invited Paper

Mignone A.;Rossazza M.;Truzzi S.;Berta V.;Colonnelli I.;Medic D.;Bacchini F.;
2025-01-01

Abstract

High Performance Computing (HPC) based simulations are crucial in Astrophysics & 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.
2025
22nd ACM International Conference on Computing Frontiers 2025, CF 2025
Cagliari, Italy
2025
Proceedings of the 22nd ACM International Conference on Computing Frontiers 2025, CF 2025
Association for Computing Machinery, Inc
177
184
979-8-4007-1393-4
Astrophysics & Cosmology codes; Center of Excellence; exascale computing; High Performance Computing
Shukla N.; Romeo A.; Caravita C.; Riha L.; Vysocky O.; Strakos P.; Jaros M.; Barbosa J.; Vavrik R.; Mignone A.; Rossazza M.; Truzzi S.; Berta V.; Colo...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2095050
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