The 3xa project will develop scalable methods for the simulation of three-body interactions in particle systems, applying vectorized kernels, dynamic load balancing approaches and adaptive resolution schemata.
This project coordinates support for HPC users in Baden-Württemberg and the implementation of related measures and activities, including data intensive computing and large-scale scientific data management.
By combining machine learning, sensor technology, network analysis and virtual reality in digital twins, HLRS is developing planning and decision support tools for conflict analysis and reduction between cyclists and pedestrians.
This coordination and support action is enhancing the activities of the EuroCC project by promoting collaboration and the exchange of knowledge and skills among HPC national competence centers across Europe.
ChEESE developed European flagship codes for upcoming pre-exascale and exascale supercomputing systems, focusing on Earth science fields such as computational seismology, magnetohydrodynamics, physical volcanology, tsunamis, and earthquake monitoring.
This study will assess potential applications of high-performance computing (HPC) in crisis situations, and what organizational procedures are needed to ensure that HPC resources are immediately available.
DECICE is developing an open and portable cloud management framework that will enable the automatic and adaptive optimization of software applications for heterogeneous computing architectures.
DEGREE is investigating a method for increasing energy efficiency in data centers by dynamically controlling cooling circuit temperatures, and is developing guidelines for implementing the resulting concepts.
EE-HPC is testing an approach for improving energy efficiency in HPC systems by automatically regulating system parameters and settings based on current job requirements.
HLRS is the coordinating center for this Europe-wide project to establish national HPC competence centers and develop a shared, high level of expertise in high-performance computing, high-performance data analytics, and artificial intelligence.
exaFOAM is working to reduce bottlenecks in performance scaling for computational fluid dynamics (CFD) applications on massively parallel high-performance computing (HPC) systems.
EXCELLERAT facilitates the development of important codes for high-tech engineering, including maximizing their scalability to ever larger computing architectures and supporting the technology transfer that will enable their uptake in industry.
FF4EuroHPC conducts outreach and provides support to Europe's small and medium-sized enterprises (SMEs) to enable them to profit from the advantages for innovation offered by high-performance computing technologies and services.
The goal of Gaia-X4ICM is to implement a scaling production platform based on the Gaia-X ecosystem for the InnovationCampus Mobility of the Future (ICM) to make Gaia-X more usable for production of planning systems, industrial controls, and sensor data, among other applications.
This project is developing novel methods, algorithms, and software for HPC and HPDA to model and simulate complex processes that arise in connection with major global challenges.
HLRS is the coordinating center for this project to integrate artificial intelligence (AI) topics into curricula at the University of Stuttgart, and to implement AI technologies to improve instruction.
InHPC-DE furthers the federation of the three national HPC centres in Germany, addresses new requirements such as security, and evaluates the Gaia-X ecosystem in the context of high-performance computing.
This project is developing tools for meeting and collaborating from remote locations in three-dimensional virtual reality environments.
The project’s goal is to increase the accuracy and reduce the uncertainty of performance and load assessment tools and associated procedures that are commonly used in the industrial design and certification of modern wind energy systems.
As a participant in the German National Research Data Infrastructure initiative, this consortium is creating a national platform for data integration in catalysis and chemical engineering research.
ORCHESTRA is developing a networked platform for sharing data and for creating a new large-scale, pan-European cohort for research on the SARS-CoV-2 pandemic, providing a model for addressing future public health threats.
The Science Data Center for Literature is an interdisciplinary research project to sustainably organize the data life cycle in digital literature.
HLRS is developing new software for quantum computers and investigating ways to integrate them with conventional systems for high-performance computing and artificial intelligence.
This enrichment program offers school-age students opportunities to develop and execute simulation projects in collaboration with HLRS scientists.
SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.
SRI DiTEnS is developing methods for discursive transformation in local energy systems, using urban digital twins involving virtual reality to support decision making among stakeholders.
targetDART is developing a task-based approach for highly scalable simulation software that mitigates load-imbalance on heterogenous systems through dynamic, adaptive and reactive distribution of computational load across compute resources.
Focusing on a large-scale, high-resolution earth system model, TOPIO is investigating read and write rates for large amounts of data on high-performance file systems, as well as approaches that use compression to reduce the amount of data without causing a significant loss of information.
Multidisciplinary research led by the HLRS Department of Philosophy of Computational Sciences is developing perspectives for assessing the trustworthiness of computational science and limiting the spread of misinformation.
In the first ever project to connect computers in wind parks with an HPC center, WindHPC aims to reduce energy consumption by improving efficiency in simulation codes, HPC workflows, and data management.
aqua3S is developing a new system for detecting threats in drinking water safety and security, combining data from state-of-the-art sensors and other detection mechanisms.
BEAM-ME developed strategies based in applied mathematics and computer science to increase computational performance of energy system models on high-performance computing systems.
BEinGRID worked to promote the adoption of grid computing technologies across the European Union and to stimulate research into innovative business models using them.
The BonFIRE project designed, built, and operated a multi-site cloud facility to support applications, services, and systems research targeting the Internet of Services community within the Future Internet.
In this project, established and reliable techniques for long-term storage were selected and deployed in order to establish a technical infrastructure and service for the safe, long-term preservation of scientific and culturally relevant data.
This project established direct contact to scientific communities at the universities of Baden-Württemberg to record in detail the specific needs for data services, infrastructure, and support in handling research data.
The project bwHPC-C5 coordinated support on a federated basis for users of high performance computing (HPC) in the state of Baden-Württemberg and implemented related measures and activities.
bwVisu provided powerful visualization resources to scientific institutions in Baden-Württemberg, including working toward the development of a scalable service for remote visualization of scientific data.
CATALYST researches methods for analyzing large datasets produced by modeling and simulation with the goal of implementing a framework that combines HPC and data analytics.
CoeGSS brings together the power of high-performance computing and some of the most promising thinking on global systems in order to improve decision-making in business, politics and civil society.
Platform for optimising the design and operation of modular configurable IT infrastructures and facilities with resource-efficient cooling
Innovative collaborative work environments for individuals and teams in design and engineering
CRESTA brings together four of Europe’s leading supercomputing centres, with one of the world’s major equipment vendors, two of Europe’s leading programming tools providers and six application and problem owners to explore how the exaflop challenge can be met.
CYBELE is integrating tools from high-performance computing, high-performance data analytics, and cloud computing to support the development of more productive, data driven methods for increasing agricultural productivity and reducing food scarcity.
DASH aims to ease the efficient programming of future supercomputing systems for data-intensive applications. These systems will be characterized by their extreme scale and a multi-level hierarchical organization.
This federally funded project is researching 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.
Deployment of the Remote Instrumentation Infrastructure
The project aims to develop novel load balancing mechanisms that can be applied during runtime in a wide range of parallel and high performance computing systems, allowing for a fine-tuning of the trade-off between performance guarantees and system efficiency according to the application needs.
Ecological implications of cloud-based IT infrastructures are creating a critical gap in the current state of the art in research and business. The ECO2Clouds project investigated strategies that can ensure effective application deployment on the cloud infrastructure, reduce energy consumption and by association CO2 emissions and furthermore the costs of the whole execution.
The European Learning Grid Infrastructure (ELeGI) project has the ambitious goal to develop software technologies for effective human learning.
The ENRICH project will analyze current developments in IT and the operation of high-performance computing (HPC) centers regarding their resource efficiency and sustainability potential.
EOPEN aims to tackle the technical barriers arising from the massive streams of Earth observation data to ensure scalability of the data harmonization, standardization, fusion, and exchange methods.
EuroLab-4-HPC has the objective to establish a European Research Center of Excellence for high-performance computing (HPC) systems.
Eurolab4HPC2 worked to promote the consolidation of European research excellence in exascale HPC systems.
EUXDAT is a Horizon 2020 project building an e-infrastructure addressing agriculture, land monitoring, and energy efficiency for sustainable development.
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 requires methods that scale perfectly and have optimal complexity. This project 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.
The objective of this European training network for mechanical and computer science engineers is to develop advanced tools for analyzing fluid dynamics in large-scale models of turbine components and to eventually enable the virtual testing of an entire machine.
The goal of the Financial Business Grid (FinGrid) is to identify and develop adequate financial services by using a grid architecture.
This project coordinates strategic collaboration and outreach among EU-funded Centres of Excellence to more efficiently exploit the benefits of extreme scale applications for addressing scientific, industrial, or societal challenges.
The importance of advanced simulation to the competitiveness of both large and small companies is well established. The principal objective of Fortissimo is to enable European manufacturing, particularly small to medium enterprises (SMEs), to benefit from the efficiency and competitive advantage inherent in the use of simulation.
The FORTISSIMO 2 project targets the adoption of advanced simulation in small and medium-sized companies, realizing a “one-stop-shop” to enable state-of-the-art hardware access, expertise, applications, visualization and tools in an efficient fashion.
The GAMES project aims at developing a set of innovative methodologies, metrics, open source ICT services and tools for the active management of energy efficiency of IT service centers.
This project focused on extending the computational fluid dynamics code FLEXI for new applications, including with respect to industrial problems.
HPC Europa 3 fosters transnational cooperation among EU scientists (especially junior researchers) who work on HPC-related topics such as applications, tools, and middleware.
This consortium of academic institutes, HPC centers, and industrial partners in Europe and Brazil is developing novel algorithms and state-of-the-art codes to support the development of more efficient technologies for wind power.
This project aims to develop and operationalize new prediction products for the integration of photovoltaics (PV) into the energy market and smart grids by delivering simulations of PV power output at high resolution.
IB-ISEB worked to develop a framework for constantly monitoring bridges in order to enable better preservation strategies.
The objective of IRMOS was to enable real-time interaction between people and applications over a Service Oriented Infrastructure, where processing, storage and networking had to be combined and delivered with guaranteed levels of service.
The goal of iWindow is to enhance the real machine window with computer-generated images and additional information.
JUNIPER was an EU FP7-ICT project, started in December 2012, that aimed to establish a development platform for new-generation, data-demanding applications.
The overall vision of LarKC is to build an integrated platform for semantic computing on a scale well beyond what is currently possible.
This preliminary project set out to find new and innovative, technology-affine solutions for computing-intensive work steps in the production of different kind of media, and to prepare the foundation of the Media Solution Center BW.
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 MoeWe project developed the Supercomputing-Akademie, a training program in high-performance computing that is conceived to address the unique needs of researchers and IT professionals in industry.
The limiting factor in the development of an exascale high-performance computer systems is power consumption. The Mont-Blanc2 project focused on the task of developing a next-generation HPC system using embedded technologies to address this challenge.
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, hardware is moving towards placing multiple processing units on a single chip and interconnecting them.
HLRS is developing approaches for combining freely available data and supercomputing resources to create a new generation of searchable data products for European citizens, public authorities, economic operators, and decision makers.
The motivation for OPTIMIS is the vision that hybrid clouds will become commonplace, realized by private clouds interacting with a rich ecosystem of public and other cloud providers.
This project is testing a novel, simulation-based approach to develop new systems for protecting vehicle occupants in 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.
ParaPhrase aims to produce a new structured design and implementation process for heterogeneous parallel architectures.
The project aims to address the challenges of energy-efficient parallel infrastructure development based on acceleratable heterogeneous hardware such as GPU, CPU, and FPGA in domains like cyber-physical systems, Internet of Things, or high-performance computing.
plugIT aims to develop the IT-Socket that realizes the vision of "plugging" business into IT in a way similar to the one used to provide electricity via a socket to any device that can be plugged in.
POLCA explicitly addresses the programmability concerns of both embedded and high performance computing.
This Centre of Excellence in Computing Applications offers the service of precisely assessing the performance of computing applications, identifying issues that affect code performance and the best way to alleviate them.
This Center of Excellence in Computing Applications provides performance optimization and productivity services for academic and industrial users of high-performance computing.
The Partnership for Advanced Computing in Europe supports high-impact scientific discovery and engineering R&D to enhance European competitiveness for the benefit of society.
The project Reallabor Stadtquartiere 4.0 explored new methods and technologies to support participatory planning for sustainable development.
The SEMIRAMIS project defines and implements a pilot infrastructure for e-services taking care of a secure authentication and management.
SERRANO aims to introduce a novel ecosystem of cloud-based technologies, from specialized hardware resources to software toolsets, to enable application-specific service instantiation and optimal customization.
This interdisciplinary Excellence Cluster at the University of Stuttgart is developing simulation technologies to enable integrative systems science.
SkaSim addressed the computational requirements for the development of extremely accurate models of molecular interactions.
The SLA4D-Grid project envisages a Service Level Agreement layer for supporting users, communities and resource providers.
The project aims to provide an optimized, resilient, heterogeneous execution environment that enables operational transparency between cloud and HPC infrastructures.
Motivated by the sustainability strategy, green IT strategy, and HPC strategy of the state of Baden-Württemberg, this project investigated how principles of sustainability could be applied to the High-Performance Computing Center 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.
The project aims at reducing the complexity of the manual administration of computing systems by realising a framework for intelligent manangement of even very large computing systems based on technologies for virtualising, knowledge-based analysis and validation of collected information, definition of metrics and policies.
Trust and contract management framework enabling secure collaborative business processing in on-demand created, self-managed, scalable, and highly dynamic virtual organizations.
This project aims at providing a research basis for studies on control and driver assistance systems in future vehicles using virtual environment techniques.
Visdral worked to develop advanced methods in computer aided crash analysis by progressing data acquisition as well as data processing.
Visionair called for the creation of a European infrastructure for high level visualization facilities that are open to research communities across Europe.
The objective of this project is the development of a flexible, highly parallel and scalable interactive visualization environment for data processing and analysis that meets the requirements of the different application domains.
