EE-HPC is testing an approach for improving energy efficiency in HPC systems by automatically regulating system parameters and settings based on current job requirements.
By presenting exciting, immersive experiences of current engineering topics in virtual reality and augmented reality, DimensionLab3 aims to increase young students' interest in and motivation to study technical subjects.
aqua3S is developing a new system for detecting threats in drinking water safety and security, combining data from state-of-the-art sensors and other detection mechanisms.
This interdisciplinary Excellence Cluster at the University of Stuttgart is developing simulation technologies to enable integrative systems science.
CYBELE is integrating tools from high-performance computing, high-performance data analytics, and cloud computing to support the development of more productive, data driven methods for increasing agricultural productivity and reducing food scarcity.
This Center of Excellence in Computing Applications provides performance optimization and productivity services for academic and industrial users of high-performance computing.
This project aims to develop and operationalize new prediction products for the integration of photovoltaics (PV) into the energy market and smart grids by delivering simulations of PV power output at high resolution.
The project TaLPas (Task-basierte Lastverteilung und Auto-Tuning in der Partikelsimulation) targets an auto-tuning, task-based approach to high-performance particle simulations.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
BEAM-ME developed strategies based in applied mathematics and computer science to increase computational performance of energy system models on high-performance computing systems.
This Centre of Excellence in Computing Applications offers the service of precisely assessing the performance of computing applications, identifying issues that affect code performance and the best way to alleviate them.
