Big Data, Analytics & Management

Meeting increasingly data-intensive applications with a seamless workflow between compute-intensive simulations and data-intensive analytics.
Brochure about our projects in Big Data, Analytics & Management (PDF 4.3 MB)

• bwDataArchiv
  Safe storage of scientific and cultural relevant data
• CATALYST
  Seamless Integration of HPC with Big Data Analytics
• CYBELE
  Fostering Precision Agriculture and Livestock Farming through Secure Access to large-scale HPC-enabled Virtual Industrial Experimentation Environment empowering scalable Big Data Analytics
• DIPL-ING
  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.
• EOPEN
  Seamless Integration of HPC with Big Data Analytics
• EUXDAT
  Seamless Integration of HPC with Big Data Analytics
• HiDALGO
  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.
• PHANTOM
  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.

Cloud Computing

The best of both worlds: Conducting compute-intensive HPC applications in a highly flexible cloud environment with low access barriers.
Brochure about our projects in Cloud Computing (PDF 4.3 MB)

• Fortissimo
  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.
• Fortissimo 2
  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.
• MIKELANGELO
  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.
• SODALITE
  SOftware Defined AppLication Infrastructures managemenT and Engineering

Energy Efficiency

Enable energy efficient usage of high-performance computing systems through research on infrastructure requirements and numerical solutions.
Brochure about our projects in Energy Efficiency (PDF 4.4 MB)

• ExaFLOW
  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.
• ExaSolvers
  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.
• Mont-Blanc 2
  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.
• Mont-Blanc 3
  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.
• Sustainability in HPC Centers
  The project's goal is to investigate how principles of sustainability could be applied to the Höchstleistungsrechenzentrum der Universität Stuttgart (HLRS).

Exascale Computing

Meeting Exascale-potential with research on highly parallel systems, efficient scalability, energy efficient algorithms and large-scale simulations.
Brochure about our projects in Exascale Computing (PDF 5 MB)

• CATALYST
  Seamless Integration of HPC with Big Data Analytics
• ChEESE
  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.
• EOPEN
  Seamless Integration of HPC with Big Data Analytics
• EUXDAT
  Seamless Integration of HPC with Big Data Analytics
• ExaFLOW
  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.
• ExaSolvers
  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
  EXCELLERAT is a European Centre of Excellence for Engineering Applications. The Centre is an initiative of several European High Performance Computing Centres.
• EXPERTISE
  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.
• HiDALGO
  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.
• Mont-Blanc 2
  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.
• Mont-Blanc 3
  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.
• POP
  Performance Optimisation and Productivity
• POP2
  Performance Optimisation and Productivity

Optimization & Scalability

Investigating the relationship between complex application domains, evolving hardware, and programming paradigms on large-scale systems.
Brochure about our projects in Optimization & Scalability (PDF 4.7 MB)

• BEAM-ME
  Developing speed-up methods from Applied Mathematics and Computer Science for the optimization of energy systems models
• CATALYST
  Seamless Integration of HPC with Big Data Analytics
• EOPEN
  Seamless Integration of HPC with Big Data Analytics
• EUXDAT
  Seamless Integration of HPC with Big Data Analytics
• ExaSolvers
  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.
• PHANTOM
  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.
• POP
  Performance Optimisation and Productivity
• POP2
  Performance Optimisation and Productivity

Programming Models & Tools

Researching parallel programming models and exploring tools to assist in developing parallel programming languages.
Brochure about our projects in Programming Models & Tools (PDF 4.7 MB)

• DASH
  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
  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.
• Mont-Blanc 2
  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.
• Mont-Blanc 3
  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.
• PHANTOM
  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.

Services

Enable cutting-edge computer science and large scale computational science with HPC training, networking and user support.
Brochure about our projects in Services (PDF 5.1 MB)

• ChEESE
  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.
• CoeGSS
  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.
• CYBELE
  Fostering Precision Agriculture and Livestock Farming through Secure Access to large-scale HPC-enabled Virtual Industrial Experimentation Environment empowering scalable Big Data Analytics
• EXCELLERAT
  EXCELLERAT is a European Centre of Excellence for Engineering Applications. The Centre is an initiative of several European High Performance Computing Centres.
• FocusCoE
  European Excellence in HPC Applications
• Fortissimo 2
  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
  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.
• MoeWE
  Modular Vocational Training on High Performance Computing
• POP
  Performance Optimisation and Productivity
• POP2
  Performance Optimisation and Productivity

Visualization

Discovering immersive and interactive 3D simulation environments for data analysis and integrated software frameworks.
Brochure about our projects in Visualization (PDF 6.2 MB)

• COVISE
  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
  EXCELLERAT is a European Centre of Excellence for Engineering Applications. The Centre is an initiative of several European High Performance Computing Centres.
• Reallabor Stadtquartiere 4.0
  Exploring new methods and technologies to support participatory planning for a sustainable development.