EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
Abstract
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.
Cite
@article{arxiv.2512.18883,
title = {EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale},
author = {Nitin Shukla and Alessandro Romeo and Caterina Caravita and Lubomir Riha and Ondrej Vysocky and Petr Strakos and Milan Jaros and João Barbosa and Radim Vavrik and Andrea Mignone and Marco Rossazza and Stefano Truzzi and Vittoria Berta and Iacopo Colonnelli and Doriana Medić and Elisabetta Boella and Daniele Gregori and Eva Sciacca and Luca Tornatore and Giuliano Taffoni and Pranab J. Deka and Fabio Bacchini and Rostislav-Paul Wilhelm and Georgios Doulis and Khalil Pierre and Luciano Rezzolla and Tine Colman and Benoît Commerçon and Othman Bouizi and Matthieu Kuhn and Erwan Raffin and Marc Sergent and Robert Wissing and Guillermo Marin and Klaus Dolag and Geray S. Karademir and Gino Perna and Marisa Zanotti and Sebastian Trujillo-Gomez},
journal= {arXiv preprint arXiv:2512.18883},
year = {2026}
}
Comments
7 pages, 7 figures