Scientific computing is a critical component of much of the work that takes place in particle physics at related subjects. In recent years, the amount of data produced across the globe has increased exponentially at research facilities and private businesses alike. With rapid advances in large-scale computing, big data, machine learning, and quantum computing, these technologies are beginning to have serious implications on how we do our work, and it is imperative that we remain part of this fast-changing field.
The Helmholtz Association is partnering with TRIUMF, Canadian and German universities and selected businesses to host a second workshop on selected topics in scientific computing at DESY in Hamburg, on 16/17 September 2019, to develop further collaboration and to explore new tools in scientific computing.
Note that remote connections to all rooms are provided. You can find the relevant connection details for each session in the detailed description of each session (click on the session and select "Session details") or by clicking on the small folder icon in the top-right corner of each session.