Every year we, as the Formula Student Team of RWTH Aachen University, develop a completely new electric race car and revise a previous car to be able to drive autonomously. For our Aerodynamics team, the electric vehicle is the main focus. We try to find the best geometries for our car within the regulatory constraints and while keeping performance compromises with other design areas in mind.

Shallow water simulations are important for climate models, flood or tsunami predictions and other applications. Performing such simulations on unstructured meshes with the Discontinuous Galerkin method is numerically attractive, but a performance challenge on conventional architectures. With a customized dataflow architecture implemented on FPGAs, we have improved performance and power efficiency on a single FPGA and achieved promising initial results when scaling to multiple FPGAs via direct FPGA-to-FPGA interconnects.