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.
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.
CoeGSS brings together the power of high-performance computing and some of the most promising thinking on global systems in order to improve decision-making in business, politics and civil society.
The main goal of ExaFLOW is to address key algorithmic challenges in CFD (Computational Fluid Dynamics) to enable simulation at exascale, guided by a number of use cases of industrial relevance, and to provide open-source pilot implementations.
The Mont-Blanc project aims to design a new type of computer architecture capable of setting future HPC standards, built from energy-efficient solutions used in embedded and mobile devices.
