Description
The text emphasises the critical role of High Performance Computing (HPC) in advancing astrophysics and cosmology, particularly through simulations that help scientists understand complex phenomena. As exascale computing systems become essential for handling the massive data from large-scale observatories like SKA, CTA, and ELT, the SPACE Centre of Excellence (CoE) is focused on adapting key astrophysical codes to these advanced systems.
The importance of visualisation and machine learning is highlighted in the talk as tools to manage and analyse the vast outputs of exascale simulations. These techniques help in processing large datasets efficiently and improving the interpretability of simulation results. Machine learning, in particular, aids in enhancing data analysis capabilities, while visualisation tools allow for the effective representation and understanding of complex astrophysical data.