HPC Europa 3 fosters transnational cooperation among EU scientists (especially junior researchers) who work on HPC-related topics such as applications, tools, and middleware.
This federally funded project is researching possibilities of efficient data management with regard to high amounts of scientific data emerging from the programs of engineering science at the University of Stuttgart.
The Partnership for Advanced Computing in Europe supports high-impact scientific discovery and engineering R&D to enhance European competitiveness for the benefit of society.
The objective of this European training network for mechanical and computer science engineers is to develop advanced tools for analyzing fluid dynamics in large-scale models of turbine components and to eventually enable the virtual testing of an entire machine.
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.
CATALYST researches methods for analyzing large datasets produced by modeling and simulation with the goal of implementing a framework that combines HPC and data analytics.
The MoeWe project developed the Supercomputing-Akademie, a training program in high-performance computing that is conceived to address the unique needs of researchers and IT professionals in industry.
The project Reallabor Stadtquartiere 4.0 explored new methods and technologies to support participatory planning for sustainable development.
BEAM-ME developed strategies based in applied mathematics and computer science to increase computational performance of energy system models on high-performance computing systems.
The project aims to address the challenges of energy-efficient parallel infrastructure development based on acceleratable heterogeneous hardware such as GPU, CPU, and FPGA in domains like cyber-physical systems, Internet of Things, or high-performance computing.
The FORTISSIMO 2 project targets the adoption of advanced simulation in small and medium-sized companies, realizing a “one-stop-shop” to enable state-of-the-art hardware access, expertise, applications, visualization and tools in an efficient fashion.
