Netcdf and HDF5 file formats for HPC

• Quentin Glaude (ULiège)

Room: CYCL09b Description: This seminar provides a practical introduction to NetCDF and HDF5, two key structured data formats for scientific data management. Participants will learn to create, manipulate, and visualize these formats using Python, Fortran, and C, with a focus on their application in high-performance computing environments. Contents: * Overview of data formats in Sciences * Comparing NetCDF vs HDF5 * Tools and libraries for working with NetCDF and HDF5 * Use cases in scientific research and HPC * Hands-on exercises in creating, reading, and visualizing data Prerequisite: * Being able to connect to the clusters. * Basic programming skills (Python, Fortran, or C). * Familiarity with Linux (navigation, file creation and editing). Target audience: Researchers and data scientists using HPC systems. Must for: Essential for geoscientists, or anyone needing structured and efficient data format.

Data Confidentiality

• Damien François (UCLouvain/CISM)

Room: CYCL09b

Versioning your data: Datalad

• Damien François (UCLouvain/CISM)

Room: CYCL09b