ENERXICO contributes to the CHEESE Advanced Training on HPC for Computational Seismology on 21-23 October 2020 from 9:00-17:00.
Are you interested in numerical wave simulations but feel like there are too many codes and methods out there and don’t know which option is right for you? Or perhaps you just want to refresh your knowledge and gain some practical experience with the different possibilities? Either way, this fully virtual workshop is for you!
During three full days on 21- 23 October 2020, you will receive introductory hands-on tutorials for ExaHyPE, Salvus, SeisSol, and SPECFEM3D, which are four different high-performance computational seismology software packages focused on waveform modeling and inversion. The workshop will provide you with an overview of their similarities, differences, and areas of applicability. Unique and in-depth half-day practicals will be provided for each package, with computational resources provided by HLRS. Participants will also be encouraged to present their own work and/or motivation as a one-minute lightning-talk during the wrap-up session of the workshop.
This training event is hosted by ChEESE, the Center of Excellence for Exascale in Solid Earth and supported by the ENERXICO project.
The organizers look forward to seeing you in October!
Researchers and students of all levels interested in augmenting their science with numerical waveform and dynamic rupture simulations as well as full-waveform inversion.
- A basic introduction to waveform physics modeling
- Hands-on experience with four different wave propagation codes
- Basic knowledge of computational seismology (e.g., familiarity with the elastic wave equation)
- Basic knowledge of Python and Jupyter notebooks
- Optional: basic programming skills (C/C++, only for the ExaHyPE course module)
SPECFEM3D - Vadim Monteiller (CNRS), Amandine Sergeant (CNRS)
SeisSol - Alice-Agnes Gabriel (LMU Munich), Duo Li (LMU Munich) , Thomas Ulrich (LMU Munich)
Salvus - Lion Krischer (ETH Zurich), Michael Afanasiev (ETH Zurich)
ExaHyPE - Leonhard Rannabauer (TUM), Anne Reinarz (TUM and Durham University)