The Center of Excellence for Exascale in Solid Earth will address scientific and societal challenges by harnessing European institutions in charge of operational monitoring networks, tier-0 supercomputing centers, academia, hardware developers and third-parties from SMEs, industry and public-governance.
The Centre of Excellence for Global Systems Science – CoeGSS – provides advanced decision-support in the face of global challenges. It brings together the power of high-performance computing and some of the most promising thinking on global systems in order to improve decisions in business, politics and civil society.
Fostering Precision Agriculture and Livestock Farming through Secure Access to large-scale HPC-enabled Virtual Industrial Experimentation Environment empowering scalable Big Data Analytics
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.
The essence of High Performance Computing (HPC) lies in sharing the large-scale hardware resources among the software applications using them. Efficient application allocation on the available compute resources is a key aspect of any HPC infrastructure functionality.
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/
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.
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.
The EXCESS scientific and technological concept in addressing energy efficiency is defined by novel execution models between common High Performance Computing infrastructures and Embedded Systems.
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.
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.
The goals of the project are the efficient simulation of complex fluid flow, extended the code FLEXI to general complex equations of state for technical gases and multiphase mixtures, the direct visualization of high-order DG solutions, the industrialization of the CFD code FLEXI and the reliable and efficient application to industrial problems.
Im Projekt HyForPV (Hybride Solarstrahlungsvorhersagen und skalierbare Rechenverfahren für die Systemintegration und Vermarktung von PV-Strom) ist es Ziel der Verbundpartner, für die Systemintegration von Photovoltaik neue Vorhersageprodukte im Kürzestfristbereich von wenigen Minuten bis hin zu wenigen Stunden zu entwickeln und zu operationalisieren.
The acronym "IB-ISEB" stands for "Intelligent Bridges - Information systems for Structural monitoring and preservation management of bridges" ("Intelligente Brücken - Informationssystem zum Strukturmonitoring und Erhaltungsmanagement von Brücken"), aiming at the provisioning of a framework to constantly monitor bridges and allow better preservation strategies.
JUNIPER (Java platform for hIgh PErformance and Real-time large scale data management) is an EU FP7-ICT project, started in December 2012, aiming to establish a development platform for new-generation data demanding applications.
The vision of MIKELANGELO is to improve responsiveness, agility and security of the virtual infrastructure through packaged applications, using the lean guest operating system OSv and the newly developed superfast hypervisor sKVM.
The limiting factor in the development of an Exascale High Performance Computer System is power consumption. The Mont-Blanc2 project focuses on the task to develop a next generation HPC system using embedded technologies to reach this difficult task.
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 clock-speed of modern processors barely rises any longer. Instead, hard ware is moving towards placing multiple processing units on a single chip and interconnecting them.
he EU Horizon 2020 research project “OSCCAR – Future Occupant Safety For Crashes in Cars” develops a novel, simulation-based approach to safeguard occupants in future vehicle accidents.
Cloud computing is revolutionising the IT industry through its support for utility service-oriented Internet computing without the need for large capital outlays in hardware to deploy their services or the human expense to operate.
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.
POLCA explicitly addresses the programmability concerns of both embedded and high performance computing. Both domains have generated strongly focused approaches for solving their specific problems that are now confronted with the increasing need for parallelism even in Embedded Systems and the need for addressing non-functional criteria in High Performance Computing.
Molecular dynamics (MD) and Monte-Carlo (MC) simulations form the basis for investigating many relevant application scenarios in science and engineering. At the heart of these simulations lie physically meaningful and quantitative models of molecular interactions, requiring precise validation through state of the art ab initio calculations and experimental data.
The project's goal is to investigate how principles of sustainability could be applied to the Höchstleistungsrechenzentrum der Universität Stuttgart (HLRS).
The project TaLPas (Task-basierte Lastverteilung und Auto-Tuning in der Partikelsimulation) targets an auto-tuning, task-based approach to high-performance particle simulations.
Trust and Contract Management framework enabling secure collaborative business processing in on-demand created, self-managed, scalable, and highly dynamic Virtual Organizations