EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
arXiv:2512.18883 · doi:10.1145/3706594.3728892
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.
7 pages, 7 figures
References in corpus (10)
- The cosmological simulation code GADGET-2
- The Black Hole Accretion Code
- Gasoline2: A Modern SPH Code
- Exactly Energy Conserving Semi-Implicit Particle in Cell Formulation
- Constrained transport and adaptive mesh refinement in the Black Hole Accretion Code
- StreamFlow: cross-breeding cloud with HPC
- The Cosmological Simulation Code OpenGadget3 -- Implementation of Meshless Finite Mass
- Modelling the polarised emission from black holes on event horizon-scales
- Multiple scale kinetic simulations with the energy conserving semi implicit particle in cell (PIC) method
- A -order accurate finite volume method for ideal classical and special relativistic MHD based on pointwise reconstructions