Research
ZIH, being an central unit of the Technische Universität Dresden, has an extensive research program. The main focus of our research, which is connected to a variety of different scientific fields, is the promotion of scientific computing which supports users during optimization of their applications as well as the development of new methods to solve the growing challenges of science and research.
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Main research topics
- Scalable software tools to support the performance optimization of applications for HPC systems
- Monitoring and measurement infrastructure for profiling and event tracing of parallel applications
- Performance analysis and visualization of program flows
- Data intensive computing and data life cycle
- Strategies, methods, and tools to manage data from creation to long-term archiving
- Infrastructures for (distributed) collaborative management and exploitation of research data
- Analysis and optimization of file systems, storage hardware and applications
- Performance and energy efficiency analysis for innovative computer architectures
- Low-level performance analysis of processor microarcitectures and memory subsystems
- Energy-efficiency measurements and optimization on HPC systems
- Performance tuning for hardware accelerators
- Distributed computing and cloud computing
- Distributed data and knowledge management
- Monitoring of Jobs and Applications
- Integration of applications and workflows in distributed environments
- Data analysis, methods and modeling in life sciences
- Mathematical biology and systems biology
- Theory of collective phenomena
- Microscopy image analysis and data-driven modelling of development, regeneration and tumor growth
- Parallel programming, algorithms and methods
- Parallel programming models for high performance computing
- Design and parallelization of algorithms for science and engineering
The ZIH closely collaborates in numerous research projects with national and international partners from science, industry and business. Such collaborations are of great interest for us because they provide exchange and synergies. They are a platform for the development and anchoring of the results.
