Description
Jupyter notebooks are great tools to mitigate the complexities of (heterogeneous) HPC systems - like the Maxwell cluster at DESY which serves the computational needs of all user facilities on campus, as well as a wide variety of applications ranging from plasma accelerators to quantum chemistry. We aim to expand the Jupyter ecosystem utilizing python application frameworks to provide application environments with real-time visualization capabilities and tailored to the needs of (less experienced) users. On this basis we are implementing for example Jupyter-driven remote desktops, user-friendly dashboards to compose or monitor batch-jobs, and visual frontends for data catalogues like SciCat. The Jupyter extensions are accompanied by visual tools for resource utilization and CO2 footprints suitable for both users and administrators.
Keywords
HPC
Jupyter
