We focus on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms.
Our research areas are:
Parallel and High Performance Computing
- Programming paradigms and languages
- Compilers and runtime systems
- Parallelization and optimization strategies
Cloud Computing
- Programming models and architectures
- Application development Environments
- Large-scale data management
Scientific Applications
- Medicine, Life Sciences
- Physics, Chemistry, Engineering
- Finance, Economics
