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Safe storage of scientific and cultural relevant data

Seamless Integration of HPC with Big Data Analytics

Fostering Precision Agriculture and Livestock Farming through Secure Access to large-scale HPC-enabled Virtual Industrial Experimentation Environment empowering scalable Big Data Analytics

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.

Seamless Integration of HPC with Big Data Analytics

Seamless Integration of HPC with Big Data Analytics

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.

High performance computing for wind energy, a collaboration between Europe and Brazil

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.

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.

SOftware Defined AppLication Infrastructures managemenT and Engineering

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.

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 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.

Seamless Integration of HPC with Big Data Analytics

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.

EXCELLERAT is a European Centre of Excellence for Engineering Applications. The Centre is an initiative of several European High Performance Computing Centres.

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.

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.

High performance computing for wind energy, a collaboration between Europe and Brazil

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.

Performance Optimisation and Productivity

Performance Optimisation and Productivity

Enhancing Standardization strategies to integrate innovative technologies for Safety and Security in existing water networks

Developing speed-up methods from Applied Mathematics and Computer Science for the optimization of energy systems models

Seamless Integration of HPC with Big Data Analytics

Seamless Integration of HPC with Big Data Analytics

Seamless Integration of HPC with Big Data Analytics

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 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.

Performance Optimisation and Productivity

Performance Optimisation and Productivity

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)

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.

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 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 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

EXCELLERAT is a European Centre of Excellence for Engineering Applications. The Centre is an initiative of several European High Performance Computing Centres.

European Excellence in HPC Applications

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.

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.

Modular Vocational Training on High Performance Computing

Performance Optimisation and Productivity

Performance Optimisation and Productivity

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.

EXCELLERAT is a European Centre of Excellence for Engineering Applications. The Centre is an initiative of several European High Performance Computing Centres.

An HPC Open Data Forecast Service

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