On Wednesday, September 25th, 2019, the Workshop on Efficiency in Computational Science will take place at the Department of Mathematics and Computer Science. This workshop brings together researchers in the field of computational science to share and discuss their work where it relates to efficiency. Here, efficiency is understood in a very broad sense, including numerical method development, serial and parallel algorithms, implementation, and hardware aspects. The intention is to provide an informal environment that encourages the exchange of novel ideas and untested approaches. Therefore, the speakers are asked to put an emphasis on work in progress and unsolved issues, and to not restrict themselves to sharing “camera-ready” results only. Ultimately, the goal is to get a fresh perspective on common challenges, to establish new connections across institutional and discipline boundaries, and to identify potential for future scientific collaborations.
Agenda
13:00 Welcome
13:10 Efficiency challenges in adaptive parallel multiphysics simulations
13:40 Current HPC developments in the TRACE flow solver
14:10 Towards Large Scale Continual Learning on Modular High Performance Computers
14:40 Coffee break
15:20 Vectorization of high-order DG and adaptive linearization
15:50 Promises and Challenges of Dispersion Relation Preserving Finite Difference Methods
16:20 Structural modelling for helicopter simulation – or: making small problems even smaller
16:50 Coffee, discussions & open end