The Computational Science Group
What is computational science?
Computational Science is a multi-topic discipline that combines elements from computer science, natural sciences, and applied mathematics. Its goal is always to support a specific application area with IT. Furthermore, computational science can be seen as an overarching umbrella to the three pillars of science (model, simulation, and experiment) which is required for leading edge science.
Services of the Group
The Computational Science Group (FWCC) serves as the first contact for all questions regarding the scientific usage of IT. This can be (but is not limited to):
- Support with the new development or porting of software applications using the central IT resources
- Performance analysis and support with the optimization of existing applications
- Joint development, implementation, and optimization of complex IT workflows for simulations or for the evaluation of experiments
- Teaching/mentoring regarding all facets of computational science
- Joint planning and design of new experiment setups and simulations
The forms of the cooperation can be manyfold:
- True joint development (FWCC team members work together with colleagues from other institutes on a project)
- Mentoring (FWCC team members advise colleagues that work on a project)
- Delegation (members of other institutes joing FWCC for a limited time to learn basics computational science skills needed for their work)
Embedding of the Group within the other IT Services
The Computational Science Group does not run any IT services itself, but rather assists in the usage of existing services or with the development of new services. These services are first and foremost the offers of the own institue (Information Services and Computing - FWC), but can also be existing solutions of other institutes (e.g. a software that is developed at Institute X). In some cases your IT demands can exceed the capabilities of your local HZDR IT. In this case the Computational Science Group can help you with the application for compute time/resources at external providers (e.g. at FZ Juelich, other European or U.S. data centers).
High-throughput workflows, GPU computing, data management
|Dr. Thomas Gruber||Data management, integrated data workflows||3846|
|Dr. Jirada Herbst||Imaging, simulations||3845|
|Dr. Guido Juckeland||Project coordination, workflow design, performance analyse||3660|
|Dr. Stefan Müller||High-throughput imaging, radiation transport calculations||3847|
|Dr. Jeffrey Kelling||Simulations, GPU computing, machine learning, performance tuning||3680|
|Sebastian Starke||Statistics, data evaluation, machine learning||3693|