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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.

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.

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.

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 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.

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.

Safe storage of scientific and cultural relevant data

Seamless Integration of HPC with Big Data Analytics

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.

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.

The project's goal is to investigate how principles of sustainability could be applied to the Höchstleistungsrechenzentrum der Universität Stuttgart (HLRS).

Seamless Integration of HPC with Big Data Analytics

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 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.

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)

Seamless Integration of HPC with Big Data Analytics

Performance Optimisation and Productivity

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.

Performance Optimisation and Productivity

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.

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.

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.

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 TaLPas (Task-basierte Lastverteilung und Auto-Tuning in der Partikelsimulation) targets an auto-tuning, task-based approach to high-performance particle simulations.

Coordinated Compute Cluster Competence Centers

Modular Vocational Training on High Performance Computing

A Scalable Service for Remote Visualization of Scientific Data

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.

Goal of iWindow is to enhance the real machine window with computer generated images and additional information.

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.

Exploring new methods and technologies to support participatory planning for a sustainable development.

Virtual Investigation, Simulation and Documentation of Road Accidents via Laserscanning