COVISE, the COllaborative VIsualization and Simulation Environment is an extensible distributed software environment to integrate supercomputer-based simulations, postprocessing and collaborative visualization functionalities in a seamless manner.
DASH - Hierarchical Arrays for Efficient and Productive Data-Intensive Exascale Computing. DASH is a collaborative research project funded initially for 3 years by the German Research Foundation (DFG) as part of the priority programme "Software for Exascale Computing - SPPEXA" (2013-2015)
The project aims to research 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.
EUROLAB4HPC2 - Consolidation of European Research Excellence in Exascale HPC Systems. EUROLAB4HPC2 project funded by the European Union Horizon 2020 Framework Programme (H2020-EU.1.2.2. - FET Proactive) (01.05.2018 - 30.04.2020) Website https://www.eurolab4hpc.eu/
Today, exascale computers are characterized by billion-way parallelism. Computing on such extreme scale needs methods, which scale perfectly and have optimal complexity. This project proposal brings together several crucial aspects of extreme scale solving.
EXPERTISE is a European Training Network (ETN) that will contribute to train the next generation of mechanical and computer science engineers. The ultimate research objective of EXPERTISE is to develop advanced tools for the dynamics analysis of large-scale models of turbine components to pave the way towards the virtual testing of the entire machine.
Factories of the Future Resources, Technology, Infrastructure and Services for Simulation and Modeling. Small and Medium-sized Enterprises (SMEs) are now discovering the potentials of simulations on supercomputers to enhance their core business and improve their competitiveness. Thus the needs and requirements for HPC centres start to change.
The HiDALGO project focuses on excellence in HPC and Big Data technologies for global challenges in order to establish a sustainable Centre of Excellence for Global Systems Science.
HPC-Europa 3 aims to foster the transnational cooperation between scientists of EU countries (especially junior researchers) who deal with HPC-related topics such as applications, tools, and middleware.
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.
The project's goal is to investigate how principles of sustainability could be applied to the Höchstleistungsrechenzentrum der Universität Stuttgart (HLRS).
OpenCOVER, the COVISE Virtual Environment Renderer based on OpenSceneGraph is a flexible VR system. It is tightly integrated with the COVISE visualization system, but also serves as the renderer for its data-parallel successor Vistle.
The project aims to address the challenges of energy-efficient parallel infrastructures development based on accelerable heterogeneous hardware such as GPU, CPU, and FPGA in the domains like Cyber-Physical Systems, Internet of Things, or High Performance Computing.
The mission of PRACE (Partnership for Advanced Computing in Europe) is to enable high impact scientific discovery and engineering research and development across all disciplines to enhance European competitiveness for the benefit of society.
SimTech pushes the frontiers in developing simulation technology for the future. The central challenge is to develop reliable, easy-to-use, cyber-based methodologies and tools from simulation applets to robust error-controlled scientific tools and intelligent simulation frameworks scalable on future hardware architectures.
Simulated Worlds" is a funded project of the Ministry of Science, Research and Arts (Baden-Württemberg). The aim is to bridge the contradiction of visibility and importance in the field of simulations and make them accessible to future generations.
The project TaLPas (Task-basierte Lastverteilung und Auto-Tuning in der Partikelsimulation) targets an auto-tuning, task-based approach to high-performance particle simulations.
