Das 3xa Projekt entwickelt skalierbare Methoden für die Simulation von Dreikörperwechselwirkungen in Partikelsystemen unter Einsatz von vektorisierenden Kerneln, dynamischen Lastverteilungsansätzen und adaptiven Verfahren für die Partikeldarstellung.
Dieses Projekt unterstützt HPC-Nutzer:innen in Baden-Württemberg in Form von Maßnahmen und Aktivitäten mit Bezug auf datenintensives Rechnen und wissenschaftliches Forschungsdatenmanagement.
Mithilfe einer Kombination aus maschinellem Lernen, Sensortechnologie, Netzwerkanalyse und virtueller Realität in digitalen Zwillingen entwickelt das HLRS Planungs- und Entscheidungshilfetools für die Analyse und Reduzierung von Konflikten zwischen Radfahrer:innen und Fußgänger:innen.
CASTIEL 2 fördert die Zusammenarbeit zwischen den nationalen Kompetenzzentren von EuroCC 2 und den Exzellenzzentren der EuroHPC Joint Undertaking. Ziel ist der Aufbau von HPC-Fachwissen und die Übernahme führender Codes in ganz Europa.
Das Center of Excellence in Exascale CFD wird moderne europäische Algorithmen der numerischen Strömungsmechanik verbessern, sodass sie dazu fähig sind, effizient auf Exascale-Supercomputern laufen zu können.
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.
CIRCE baut eine Organisationsstruktur für ein computergestütztes Soforthilfezentrum für Notfälle auf, das es dem HLRS ermöglichen würde, staatliche Behörden in Krisensituationen schnell zu unterstützen.
DECICE entwickelt ein offenes und portables Cloud-Management-Framework, das die automatische und adaptive Optimierung von Softwareanwendungen für heterogene Rechnerarchitekturen ermöglicht.
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 testet einen Ansatz zur Verbesserung der Energieeffizienz von HPC-Systemen durch die automatische, jobspezifische Regulierung von Systemparametern und -einstellungen.
EuroCC 2 koordiniert ein europäisches Netzwerk nationaler Kompetenzzentren (NCC) für Höchstleistungsrechnen (HPC). Das von der EuroHPC Joint Undertaking unterstützte Vorhaben fördert ein gemeinsames Niveau von Kompetenzen im Bereich HPC und verwandten Technologien über die teilnehmenden Länder hinweg.
Forschende in diesem Projekt reduzieren Engpässe bei der Leistungsskalierung auf massiv parallelen HPC-Systemen (High Performance Computing) von CFD- (Computational Fluid Dynamics) Anwendungen.
EXCELLERAT P2 entwickelt fortschrittliche Anwendungen für die Technik in den Bereichen Fertigung, Energie, Luft- und Raumfahrt sowie Mobilität und konzentriert sich dabei auf Anwendungsfälle, die die Bedeutung von HPC, HPDA und KI für die europäische Wettbewerbsfähigkeit aufzeigen.
Das Ziel von Gaia-X4ICM ist eine skalierende Produktionsplattform auf Basis des Gaia-X Ökosystems für den InnovationsCampus Mobilität der Zukunft (ICM) zu realisieren, um Gaia-X für die Produktion nutzbar zu machen.
Das HiDALGO2-Projekt befasst sich mit den Auswirkungen des Klimawandels und widmet sich dabei technischen Fragen über die Skalierbarkeit von HPC- und KI-Infrastrukturen. Zudem werden Methoden der numerischen Strömungsmechanik und der Unsicherheitsanalyse eingesetzt.
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 treibt das Bündnis der drei nationalen HPC-Zentren in Deutschland voran, adressiert neue Anforderungen wie Sicherheit und evaluiert das Gaia-X-Ökosystem für Höchstleistungsrechnen.
Inno4scale unterstützt und fördert die Entwicklung fortschrittlicher Algorithmen und Anwendungen für künftige europäische Exascale-Systeme.
This project is developing tools for meeting and collaborating from remote locations in three-dimensional virtual reality environments.
Ziel dieses Projekts ist die Erhöhung der Genauigkeit und die Verringerung der Unsicherheit von Leistungs- und Belastungsbewertungsmethoden, die bei der industriellen Auslegung und Zertifizierung moderner Windenergieanlagen eingesetzt werden.
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.
Das SEQUOIA End-to-End Projekt zielt darauf ab, transparente, automatisierte und kontrollierbare End-to-End-Lösungen für den industriellen Einsatz von hybriden Quantenanwendungen und -algorithmen durch ganzheitliches Quanten-Software-Engineering zu entwickeln.
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 erforscht, wie sich mithilfe von urbanen digitalen Zwillingen — auf der Grundlage von virtueller Realität — ein diskursiver Transformationsprozess mit den Stakeholdern in der Energieversorgung gestalten lässt.
STARTS AIR ermöglicht mithilfe von Supercomputing-Technologien und -Fachwissen innovative Kooperationen zwischen Kunst, Wissenschaft und Technologie.
targetDART erarbeitet einen Task-basierten Ansatz für hochskalierbare Simulationssoftware, der auf heterogenen Exascale-Systemen unvorhersagbare Lastungleichgewichte mittels dynamisch adaptiver und reaktiver Verteilung von Rechenaufgaben zwischen den Rechenknoten ausgleicht.
Mithilfe eines globalen, hochauflösenden Modells des Erdsystems untersucht TOPIO die Lese- und Schreibgeschwindigkeiten für große Datenmengen auf Höchstleistungsdateisystemen sowie Ansätze, die die Datenmenge durch Komprimierung reduzieren, ohne dass dabei ein erheblicher Informationsverlust entsteht.
Aus multidisziplinärer Forschung in der Abteilung für Philosophy of Computational Sciences des HLRS entstehen Perspektiven für die Bewertung der Vertrauenswürdigkeit von Computer Science und Begrenzung der Verbreitung von Fehlinformationen.
Als erstes Projekt, das Computer in Windparks mit einem HPC-Zentrum verbindet, zielt WindHPC darauf ab, den Energieverbrauch durch die Verbesserung der Effizienz von Simulationscodes, HPC-Workflows und Datenmanagement zu senken.
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.
Im Forschungsprojekt ENRICH werden die aktuellsten Entwicklungen im Bereich der Informationstechnologien und der Rechenzentren auf Ressourceneffizienz und deren Nachhaltigkeitspotential hin untersucht.
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.
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 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.
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.
Ziel des Projekts Open Forecast war die Entwicklung neuer, effizienter und hochwertiger Dienste für die Bereitstellung öffentlicher, frei verfügbarer Daten. Diese Dienste ermöglichen es, frei verfügbare Daten mit Höchstleistungsrechnen zu verbinden und dadurch neue Produkte zu gewinnen. Diese werden europäischen Bürgern, Behörden, Wirtschaftsakteuren und Entscheidungsträgern bereitgestellt.
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 Science Data Center for Literature is an interdisciplinary research project to sustainably organize the data life cycle in digital literature.
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.
