Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings
It addresses HPC issues for researchers in astrophysics and related sciences, but is incremental as it summarizes workshop discussions rather than presenting new research.
This paper presents proceedings from a workshop discussing critical HPC challenges in astrophysics, cosmology, and other scientific fields as systems approach exascale computing, focusing on topics like performance portability, green computing, and machine learning without reporting specific results or numbers.
The proceedings of Workshop Scientific HPC in the pre-Exascale era (SHPC), held in Pisa, Italy, September 18, 2024, are part of 3rd Italian Conference on Big Data and Data Science (ITADATA2024) proceedings (arXiv: 2503.14937). The main objective of SHPC workshop was to discuss how the current most critical questions in HPC emerge in astrophysics, cosmology, and other scientific contexts and experiments. In particular, SHPC workshop focused on: $\bullet$ Scientific (mainly in astrophysical and medical fields) applications toward (pre-)Exascale computing $\bullet$ Performance portability $\bullet$ Green computing $\bullet$ Machine learning $\bullet$ Big Data management $\bullet$ Programming on heterogeneous architectures $\bullet$ Programming on accelerators $\bullet$ I/O techniques