This team focuses on language design and implementation for multi- and many-core platforms. We are interested in refining existing parallel programming models (actors, software transactional memory, data parallelism etc.) as well as optimizing virtual machines, interpreters and compilers. Additionally, we work on application-specific parallel solutions, e.g., for gene-sequencing, chemogenomics, complex event processing or quantum computing. What sets us apart is the fact that most of our research is done in the context of dynamic languages like e.g. Common Lisp and Smalltalk. Furthermore, we host our own many-core lab. Thus, we are equipped with a wide range of different systems to experiment with state-of-the-art architectures to validate our research results.