Research Area Scientific Computing
Research Area & Centers
The research area Scientific Computing and its two research centers - Computational Engineering and High Performance Computing - introduce themselves.
Infrastructure & Services
A brief description of the available infrastructure for high performance computing and visualization and how to gain access.
Education & Training
Information on the internal doctoral programm Computational Interdisciplinary Modelling as well as on the extension study programme Scientific Computing and other training posibilities.
Research Area Scientific Computing
Univ.-Prof. Dr. Alexander Ostermann (head)
Mag. Eduard Reiter (coordinator)
News
Summer Semester 2026: SC Courses online – Register now!
In the summer semester of 2026, we will again offer a range of courses that may be of particular interest to students and researchers interested in high-performance computing, scientific computing and data management.
Enrolment in the extension programme scientific computing itself is not required to attend the courses (but is very welcome) - have a look at the course programme.
Austrian-Slovenian HPC Meeting 2026 – Call for Abstracts
ASHPC26 will take place at TUtheSky, TU Wien, Vienna, Austria, 8–10 April 2026 – bringing together users and providers of large-scale computing resources for both academic and non-academic research and development.
Call for Abstracts is open, accepting contributions for talks and posters until 15 February 2026.
MUSICA (GPU-Cluster) - open testphase
The MUSICA GPU cluster is now in its open testing phase and available to all researchers at the university. Documentation is in place for logging in and taking the first steps, as well as a Matrix channel for communication between users and staff.
Quick Links
Activities & Cooperations
The annual thesis award in recognition of outstanding MSc and PhD theses, projects, calls and cooperations with a connection to scientific computing.
Exchange in SC (ESC)
26. March, 2026: Prof. Erwin Laure (MPCDF)
A distinguished series of lectures on topics from the field of scientific computing with social and scientific relevance.