Scientific Computing Core and Coffee
SCC supports CASUS researchers in all aspects of scientific computing and data-driven research. It also conducts research on specific topics of its own. The members of core come from various scientific disciplines and complement the subject-specific expertise of the scientific staff with methods, tools and extensive computer science knowledge.
Research
Our department supports the application area scientists in all groups in CASUS with all aspects of Computational Science and data-driven research. Our team from diverse scientific backgrounds complements the application field scientific expertise with strong computer science expertise and latest methods and tools. Together, we achieve not only faster but better scientific results. Furthermore, we are active in our own research topics.
Research Projects
CP2K
Some research groups at CASUS employ condensed matter simulations. For that purpose, CASUS hosts a new development group for CP2K. CP2K is a quantum-chemistry and solid-state physics software package capable of performing large-scale massively parallel calculations on different levels of theory.
Alpaka
The Alpaka library is a performance-portability programming model designed for various computing architectures, making it easier to develop and optimize C++ applications that run on different hardware. It abstracts the hardware specifics, so developers can write code that is portable across various platforms such as CPUs …
Where2Test
During the COVID19 pandemic CASUS developed and ran the Where2Test platform. It combined data collection about COVID infections with demographics as well as prediction and simulation of hypotetical scenarios. For this purposes it employed High Performance Computing, epidemiologc modelling, controll theory, and numeric …
OPTIMA
CASUS is partner in several data driven, public–private partnership research projects. Among them there are three notable digital health projects PIONEER (big-data platform for prostate cancer patient data in Europe), OPTIMA (first interoperable and GDPR-compliant European real-world oncology data and evidence generation platform …
AI Models and Surrogate Models
Scenery / Sciview
Scenery is a scenegraphing and rendering library. It allows you to quickly create high-quality 3D visualizations based on mesh data. Scenery is using Vulkan to render and its pipelines are configurable using YAML files, so it’s easy to switch between e.g. Forward Shading and Deferred Shading, as well as stereo rendering. Rendering pipelines can be switched on-the-fly. Sciview is an ImageJ/FIJI plugin for 3D visualization of images and meshes and uses Scenery as a rendering backend. Both Scenery and Sciview support rendering to head-mounted VR goggles like the HTC Vive or Oculus Rift via OpenVR/SteamVR.
Research Data Management
Research Data Managment (RDM) is a support activity and its own research and development field. It is about defined data life cycles, organization of research data in teams, data sharing and data publications. It is governed by the FAIR principles.We provide consultation to application field scientists for all questions related to RDM, design and offer services for practical RDM, and develop new and tailored solutions for RDM based on state of the art methods and software.
SciJava
SciJava aims to provide an overview of available Java libraries for scientific computing. The packages listed are provided by individual projects each of which is committed to co-operating with the other projects, reusing libraries and integrating clients for a seamless workflow. The focus at the moment is geared towards biosciences, having begun during the 2011 Fiji Hackathon in Dresden, but other projects are welcome to get involved.
Features: Image processing, Image visualization and annotation, Workflow execution and machine learning
Our team
Scientific Computing Core team is located in Görlitz.
Dr. Andreas Knüpfer
Head of Scientific Computing Core
a.knupfer@hzdr.de
+49 (0)3581 – 375 23 123
About Us
The department supports CASUS researchers in all aspects of scientific computing and data-driven research. It also conducts research on specific topics of its own. The members of the core come from various scientific disciplines and complement the subject-specific expertise of the scientific staff with methods, tools and extensive computer science knowledge.
ia.knupfer@hzdr.de
+49 (0)3581 – 375 23 123