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 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.
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.
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 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 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.
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.
Trust and Contract Management framework enabling secure collaborative business processing in on-demand created, self-managed, scalable, and highly dynamic Virtual Organizations