EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale

TL;DR

The paper discusses the redesign of astrophysical simulation codes to leverage exascale computing, addressing architectural challenges and integrating machine learning and data sharing for advanced astrophysics research.

Contribution

It introduces a collaborative effort to re-engineer astrophysical codes for exascale systems using innovative paradigms and software, enhancing simulation and data analysis capabilities.

Findings

Development of scalable astrophysical codes for exascale systems

Integration of machine learning for data analysis in astrophysics

Promotion of standardized software and data sharing protocols

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.