Numerical simulation has established itself as the third pillar of research alongside theory and experiment. For this reason, DLR uses simulations in many areas to better understand complex processes. These include numerical flow simulations, strength calculations, shape optimization of aerospace systems, and medical simulations such as pandemic and blood flow simulations. These applications place particularly high demands on computational speed and data management and incur high costs. Therefore, great efforts are made to use the resources employed as efficiently as possible.
We support this goal with fundamental contributions. We research efficient scalable algorithms, also from the field of artificial intelligence, and data structures for the highly parallel computers of the future. In addition, our scientists develop software for optimizing and accelerating computational processes with modern hardware components such as graphics or many-core processors. For the efficient use of available quantum computers, we develop hardware-adapted algorithms and software tools. Furthermore, we provide efficient management and high-performance analysis of large amounts of data. Large amounts of data are generated not only in the simulation of complex model systems, but also in the use and condition monitoring of aerospace systems or in medical measurement campaigns.
Parallel Numerical Mathematics
Modeling and Shape Optimization
Software for future computer architectures
Efficient handling of large data sets and Big Data