Research projects
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:
Simulating the electromagnetic wave of a laser beam is challenging
task, which is needed to optimize certain types of solid-state lasers.
For this purpose, new time-dynamic and three-dimensional simulation
techniques are required. The aim of the research project is to develop
such simulation techniques and apply them to lasers that cannot be
optimized with current simulation methods. Examples of such lasers
are lasers with unstable cavities and passive Q-switches…
Funding source: Bayerische Forschungsstiftung
Project leader: ,
We see a need for robust, ultra-fast lasers for measurement technology. The goal is an Nd:YAG laser with repetition rates of at least 20 kHz and pulse energies of 50 mJ at 355 nm. Only Innolas Laser GmbH from Krailingen has a concept for implementing these special requirements. The idea is based on experience with Q-switch-operated Nd:YAG lasers. Contrary to laser theory assumptions, residual energy remains in the resonator after the Q-switch opens, which can be quickly amplified again with suitable pump technology. The scientific description of laser physics is still pending for the technical exploitation of the phenomenon. New simulation models are to be used for this purpose, which also allow thermal lens effects in the laser head to be taken into account. Experimental validation of the laser design is also essential for technology development. It is crucial to be able to measure each individual pulse of the high-frequency burst in terms of time and energy. As part of the project, an energy measuring head based on atom layer thermopile (ALTP) technology is to be developed, which promises energy measurement in the MHz range—for which there is currently no sensor system available on the market. We see a very realistic possibility for a start-up here. Finally, the project aims to develop the entire laser measurement system using the example of research into sustainable aviation fuels.
Funding source: Helmholtz-Gemeinschaft
Project leader:
Funding source: BMBF / Verbundprojekt
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: Europäische Union (EU)
Project leader: , ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
For many centuries, scientific discovery relied on performing experiments and the subsequent deduction of new theoretical models. The advent of powerful computers, coupled with new and ever more efficient numerical algorithms, makes it possible to simulate complex systems with increasing realism, and to automatize even model discovery using artificial intelligence (AI) technologies. Computational Fluid DynFor many centuries, scientific discovery relied on performing experiments and the subsequent…
Funding source: EU / Cluster 4: Digital, Industry and Space
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Highly scalable approaches to solving the greatest challenges
The impacts of climate and social changes are all around us, from violent weather phenomena like floods to polluted air in urban agglomerations. These dilemmas are tackled by means of interdisciplinary approaches and high-performance computing infrastructure. The EU-funded HiDALGO2 project explores synergies between modelling, data acquisition, simulation, data analysis and visualisation. It will also efficiently utilise current…
Funding source: BMBF / Verbundprojekt
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Physikalische Fragestellungen werden von der Anwendung diktiertund führen oft auf unterschiedliche Modellierungsparadigmen. In diesem Antragwird einerseits klassische Kontinuumsmechanik genutzt, die zu EulerschenFinite-Element-Modellen führt, andererseits lassen sich Transportphänomenejedoch oft besser mit Lagrangeschen Methoden darstellen, z.B. als Trajektorienin einem System vieler Teilchen. Die Kopplung dieser unterschiedlichen Modelleführt zu Herausforderungen in der Mathematik, sowie bei…
Funding source: EU - 8. Rahmenprogramm - Horizon 2020
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Funding source: Elitenetzwerk Bayern
Project leader:
Mountain glaciers and ice caps outside the large ice sheets of Greenland and Antarctica contribute about 41% to the global sea level rise between 1901 to 2018 (IPCC 2021). While the Arctic ice masses are and will remain the main contributors to sea level rise, glacier ice in other mountain regions can be critical for water supply (e.g. irrigation, energy generation, drinking water, but also river transport during dry periods). Furthermore, retreating glaciers also can cause risks and hazards by…
Funding source: DFG / Forschungsgruppe (FOR)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Das Laserstrahlschweißen als flexibles und kontaktloses Fügeverfahren gewinnt immer mehr an Bedeutung. Die Bearbeitung von Legierungen mit großem Schmelzintervall stellt aufgrund ihrer Neigung zu Erstarrungsrissen jedoch eine Herausforderung dar. Diese entstehen durch kritische Spannungs- bzw. Dehnungszustände der dendritischen Mikrostruktur mit interdendritischer Schmelze. Trotz der hohen industriellen Relevanz existieren bisher lediglich Ansätze, die sich Teilaspekte dieser Problematik - me…
Funding source: Industrie
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: DFG / Forschungsgruppe (FOR)
Project leader:
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Das Laserstrahlschweißen als flexibles und kontaktloses Fügeverfahren gewinnt immer mehr an Bedeutung. Die Bearbeitung von Legierungen mit großem Schmelzintervall stellt aufgrund ihrer Neigung zu Erstarrungsrissen jedoch eine Herausforderung dar. Diese entstehen durch kritische Spannungs- bzw. Dehnungszustände der dendritischen Mikrostruktur mit interdendritischer Schmelze. Trotz der hohen industriellen Relevanz existieren bisher lediglich Ansätze, die sich Teilaspekten dieser Problematik - me…
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR), Europäische Union (EU)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader: ,
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Complex phenomena in the natural and the engineering sciences are increasingly being studied with the help of simulation techniques. This is facilitated by a dramatic increase of the available computational power, and Computational Science and Engineering (CSE) is emerging as a third fundamental pillar of science. CSE aims at designing,analyzing, and implementing new simulation methods on high-performance computing(HPC) systems such that they can be employed in a robust, user-friendly, and reliable…
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Complex phenomena in the natural and the engineering sciences are increasingly being studied with the help of simulation techniques. This is facilitated by a dramatic increase of the available computational power, and Computational Science and Engineering (CSE) is emerging as a third fundamental pillar of science. CSE aims at designing,analyzing, and implementing new simulation methods on high-performance computing(HPC) systems such that they can be employed in a robust, user-friendly, and reliable…
Funding source: Deutsche Forschungsgemeinschaft (DFG)
Project leader:
Sparse grids are an innovative technique for reducing the computational amount for the numerical solution of partial differential equations. Applications are differential equations on complex domains with reentrant edges and corners or high dimensional problems like the time independent Schrödinger equation. In both cases, accurate numerical solutions are difficult to obtain. In order to apply sparse grids to such differential equations it is important to apply a Ritz-Galerkin discretization. However, such a discretization leads to several algorithmic difficulties in case of variable coefficients. These difficulties do not appear for a new discretization method on sparse grids, which was recently developed. This discretization applies prewavelets and a discretization with semi-orthogonality. By this concept, PDE's with variable coefficients can efficiently be solved by suitable algorithms. The aim of the project is to continue the development of algorithms for solving PDE's on sparse grids. In particular algorithms on adaptive sparse grids for variable coefficients and efficient algorithms for the calculation of the stiffness matrix have to be developed. Furthermore, new parallelization concepts are needed, since conventional parallelization concepts cannot be applied to sparse grids. The new algorithms will be implemented and analyzed for suitable applications.
Funding source: Virtuelle Hochschule Bayern
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Aufbauend auf dem vhb-Kurs "Programmierung in C++" soll der Kurs "Fortgeschrittene Programmierung in Advanced C++" weiterführende Themen der Programmiersprache C++ behandeln. Schwerpunkt sind dabei vor allem neuere Konzepte die im Ramhen des C++11 und späterer Standards eingeführt wurden. Der Kurs soll damit speziell auf weiterführende Lehrveranstaltungen im Masterprogramm in Erlangen wie z.B. "Advanced Programming Techniques" vorbereiten.
A.2 Test-Driven Development
B.Der C++11/14/17 Stand…
Funding source: Bayerisches Staatsministerium für Wissenschaft und Kunst (StMWK) (seit 2018)
Project leader:
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Multicomponent flows are of considerable scientific interest due to their broad range of applications. Emulsions, for example, play an important role in processing of coatings, cosmetics, pharmaceutics, and foods. Especially double emulsions, where smaller drops are encapsulated in larger drops, carry high potential for medial applications like controlled drug delivery and release. On much larger scales, multicomponent flows are of wide interest in the oil industry where advanced recovery processes…
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:
In modern healthcare, diseases are often prognosed and diagnosed through comprehensive
monitoring of blood samples. For diseases such as malaria, anemia, or sickle cell diseases,
the morphology of RBCs is altered and therefore blood flow characteristics are affected in
such a way that these diseases can be detected from blood flow parameters such as effective
rheology or volumetric transport. Moreover, particular hematological disorders such as those
due to altered hematocrit values are likely to be influenced based on mechanical parameters
of red blood cells and these cell’s interactions with the blood flow.
The exploratory visit proposed here is intended to foster initial collaborations towards the de-
velopment of a research proposal for the design and development of an affordable, portable,
and robust microfluidic device for preliminary screening and continuous monitoring of dis-
eases by means of blood samples. This medical diagnostic device will be tailored towards
rapid point-of-care diagnostics with minimal consumption of blood samples by means of ad-
vanced multiphysics simulations. The readouts generated in the microfluidic bio-sensor to
be developed will be acquired through a specific android-based smartphone platform that
processes the captured signals accordingly for analysis and diagnosis purposes.
For the design of this microfluidic diagnostic device we propose a joint effort of two research
groups to combine their expertise in experimentations, modeling, and fabrication of microflu-
idic platforms for handling and analyzing biological samples with expertise in the realization
of complex parallel algorithms for efficient multiphysics simulations recovering the relevant
effects. The latter includes the development of sophisticated lattice Boltzmann based simu-
lation algorithms to optimize the design of the microfluidic bio-sensors for rapid yet accurate
screening of diseases.
To summarize, we will propose technology development that unprecedentedly aims to opti-
mize the performance of a medical diagnostic device through comprehensive integration of
micofluidics, informatics, and simulation data.
Funding source: Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst (ab 10/2013)
Project leader: ,
Ziel des Projekts ist es, AVX2 Vektoroperationen für die Common LispImplementierung SBCL verfügbar zu machen. SBCL ist derpopulärste und am weitesten Entwickelte freie Compiler für CommonLisp. Die Verbesserungen aus diesem Projekt machen es möglichCommon Lisp Programme zu schreiben, deren Ausführungsgeschwindigkeitmit C++ und Fortran Programmen auf Augenhöhe liegt. Dadurchergeben sich interessante Möglichkeiten der Metaprogrammierung imwissenschaftlichen Rechnen.
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Die Verarbeitung schaumfähiger Produkte ist wichtiger Bestandteilvieler industrieller Prozesse. In vielen Fällen soll dabei das Auftreten vonSchäumen inhibiert werden, um negative Effekte auf Durchsatz, Trennleistung undandere Prozessparameter zu verhindern. In der Lebensmittelindustrie stelltunerwünschte Schaumbildung beispielsweise bei der Prozessierung von Milch,Zucker oder Getränkeprodukten eine Herausforderung dar. Maßnahmen zurInhibierung dieser unerwünschten Schaumbildung hängen…
Project leader:
Durch die Luftfahrt werde viele Klima schädliche Gase in die Erdatmosphäre ausgestossen. Ein alternative und Klima freundliche Luftfahrt wäre durch Luftschiffe möglich. Wichtig ist dabei jedoch Sonnenenergie und Windenergie optimal auszunutzen. Ziel des Forschungsbereiches ist es optimale Routen für die Luftfahrt mit Luftschiffen zu finden und die Luftschiffe hierfür optimal auszulegen.
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Project leader: ,
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Das HPC²SE Projekt entwickelteinen neuartigen Metaprogrammieransatz, um die Nutzung moderner und zukünftigerheterogener HPC-Systeme für eine breite Klasse von Simulationen einfacher undeffizienter zu gestalten.
Eine Schlüsseltechnologie fürdie Forschung oder industrielle Entwicklungen ist die numerische Simulation.Beispiele hierfür sind die Klimaprognose, der Katastrophenschutz, dieEnergieversorgung, der Fahrzeugbau. Zunehmend gewinnen simulationsbasierteRisikoabschätzungen an ges…
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Project leader: ,
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
In Metacca wird das AnyDSL Framework zu einer homogenen Programmierumgebung für
heterogene Ein- und Mehrknoten-Systeme ausgebaut. Hierbei wird die UdS den Compiler und das Typsystem von AnyDSL erweitern, um dem Programmierer das produktive Programmieren von Beschleunigern zu ermöglichen. Darauf aufbauend wird der LSS geeignete Abstraktionen für die Verteilung und Synchronisation auf Ein- und Mehrknoten-Rechnern in Form einer DSL in AnyDSL entwickeln. Alle Komponenten werden durch Performance Mo…
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader: , ,
Prof. Dr. Harald Köstler, Akad. Dir.
Group Leader HPC Software Design
Um akkurate Ozean, Atmosphären oder Klima Simulationen durchzuführen werden sehr effiziente numerische Verfahren und große Rechenkapazitäten benötigt, die in vielen Teilen der Welt und bei vielen Forschungsgruppen in diesen Anwendungsfeldern nicht verfügbar sind. Solche Beschränkungen führen auch dazu, dass Modelle und Softwarepakete basierend auf strukturierten Gittern derzeit in der Ozeanwissenschaft immer noch vorherrschend sind.In diesem Projekt soll zum einen die Rechenzeit für Modelle, die auf …
Funding source: Industrie
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: Deutscher Akademischer Austauschdienst (DAAD)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Availability of adequate, clean and affordable energy is critical for realizing basic human needs and further economic development. Modern society is heavily dependent on electricity (industry, lighting, transportation, communications and so on). The current energy systems are mainly dependent on fossil carbon (oil, gas and coal). According to the recent world electricity generation statistics (see www.eia.gov/oiaf/ieo/index.html), about 42% of the energy is generated using coal. In India, the…
Funding source: Deutscher Akademischer Austauschdienst (DAAD)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
Project leader:
Pulsed and ultrashort pulsed lasers are used in various technical applications.In particular research on powerful ultrashort pulsed lasers is needed, since such lasers are important for future developments in automotive industry. Since the development of laser resonators is limited, research has to focus on new laser amplifiers in order to archive more efficient and powerful laser sources.Simulation is an important tool for further development on laser sources. Reasons are the complex physical…
Funding source: BMBF / Verbundprojekt
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Komplexe Phänomene in den Natur- und Ingenieurwissenschaften werden dank der rapide steigenden Rechenleistung immer öfter mit Hilfe von realitätsgetreuen Simulationstechniken erforscht. Das daraus entstandene Fachgebiet Computational Science and Engineering (CSE) gilt deshalb als neue, dritte Säule der Wissenschaft, die die beiden klassischen Säulen Theorie und Experiment ergänzt und verstärkt. Im Kern des CSE geht es darum, leistungsfähige Simulationsmethoden für aktuelle und zukünftige Höchstlei…
Project leader:
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sparse Grids reduce the computaional amount for solving PDE's
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efficient algorithms for solving high dimensional PDE's with variable coefficients on sparse grids
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solution of high dimensional Schrödinger equation
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convergence analysis, numerical analysis
Funding source: Industrie
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: Industrie
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Project leader:
Röntgen-Phasenkontrastbildgebung ist eine recht junge Erweiterung zum üblichen Absorptionskontrast in Röntgenaufnahmen. Medizinischer Phasenkontrast kann dabei minimale Richtungsänderungen des Röntgenstrahls im Patienten messen und als Bild darstellen. Derartige Bilder können z.B. Tumore als Übergänge zwischen Gewebe leicht unterschiedlicher Dichte visualisieren.
Seit ca. 2006 können medizinische Röntgengeräte um eine Phasenkontrastoptik erweitert werden (ausreichend Platz vorausgesetzt). Diese Optik…
Funding source: DFG / Schwerpunktprogramm (SPP)
Project leader: , ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Future exascale computing systems with 107 processing units and supporting up to 1018 FLOPS peak performance will require a tight co-design of application, algorithm, and architecture aware program development to sustain this performance for many applications of interest, mainly for two reasons. First, the node structure inside an exascale cluster will become increasingly heterogeneous, always exploiting the most recent available on-chip manycore/GPU/HWassist technology. Second, the clusters themselves will be composed of heterogeneous subsystems and interconnects. As a result, new software techniques and tools supporting the joint algorithm and architecture-aware program development will become indispensable not only (a) to ease application and program development, but also (b) for performance analysis and tuning, (c) to ensure short turn-around times, and (d) for reasons of portability.
Project ExaStencils will investigate and provide a unique, tool-assisted, domain-specific codesign approach for the important class of stencil codes, which play a central role in high performance simulation on structured or block-structured grids. Stencils are regular access patterns on (usually multidimensional) data grids. Multigrid methods involve a hierarchy of very fine to successively coarser grids. The challenge of exascale is that, for the coarser grids, less processing power is required and communication dominates. From the computational algorithm perspective, domain-specific investigations include the extraction and development of suitable stencils, the analysis of performance-relevant algorithmic tradeoffs (e.g., the number of grid levels) and the analysis and reduction of synchronization requirements guided by a template model of the targeted cluster architecture. Based on this analysis, sophisticated programming and software tool support shall be developed by capturing the relevant data structures and program segments for stencil computations in a domain-specific language and applying a generator-based product-line technology to generate and optimize automatically stencil codes tailored to each application–platform pair. A central distinguishing mark of ExaStencils is that domain knowledge is being pursued in a coordinated manner across all abstraction levels, from the formulation of the application scenario down to the generation of highly-optimized stencil code.
For the developed unique and first-time seamless cross-level design flow, the three objectives of (1) a substantial gain in productivity, (2) high flexibility in the choice of algorithm and execution platform, and (3) the provision of the ExaFLOPS performance for stencil code shall be demonstrated in a detailed, final evaluation phase.
Funding source: Siemens AG
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Funding source: Siemens AG
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Electron beam melting additive manufacturing is used to produce successive layers of a part in a powder bed and offers the ability to produce components closest to their final dimensions, with good surface finish. At this time the process is faster than any other technique of comparable quality, however the parts are not produced at sufficient rate to make them economically viable for any but very high value specific applications. One key output of the project will be the knowledge surrounding…
Funding source: Bundesministerium für Umwelt, Klimaschutz, Naturschutz und nukleare Sicherheit (BMUKN)
Project leader:
Der Wirkungsgrad von Dünnschichtsolarzellen wird maßgeblich durch die optischen Eigenschaften von diesen beeinflusst. Um die Effizienz und somit auch den daraus zu gewinnenden Strom zu erhöhen ist eine akkurate Analyse der Lichteinkopplung (Lighttrapping) notwendig. Hierbei spielen Faktoren wie die Komposition des Schichtaufbaus, die Brechungsindizes der Materialien und die Oberflächenstruktur der Schichten eine wichtige Rolle. 3-dimensionale Simulationen sind ein probates Mittel um durch Var…
Funding source: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR), Bundesministerium für Wirtschaft und Energie (BMWE)
Project leader:
Das Forschungsprojekt ist ein Verbundprojekt mit verschiedenen Partnern wie dem Forschungsinstitut Next Energy in Oldenburg. Ziel des Verbundvorhabens „Silizium basierte Dünnschicht Solarzellen auf flexiblen Metall-Substraten“ (Akronym: SiSoFlex) ist es, die technologischen Grundlagen für die Herstellung von Silizium-Dünnschicht-Solarzellen auf flexiblen Metallsubstraten zu verbessern. Das angestrebte Projektziel gliedert sich auf die folgenden Ansätze auf: •…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
With new technologies emerging in the field of renewable energies and communications, the notion of a smart grid has evolved. Using smart grids, the traditional structure of centralized energy networks is shifted to a decentralized network in which the energy can freely be distributed. Considering the new structure and technologies, there is a need to evaluate efficiency, economic viability, and reliability.
The evaluation uses graphs, representing the smart grid, and solves mixed-integer…
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE)
Project leader:
Ziel des Projektes ist es, einen Q-Switch Laser mit sättigbarem Absorber für einzelne Pulse hoher Leistung zu designen. Dabei soll auf eine Blitzlampen-gepumpte Ausführung verzichtet und stattdessen eine diodengepumpte Lasertechnologie realisiert werden. Der Laser soll in der Medizintechnik Anwendung finden.
Funding source: EU - 7. RP / Cooperation / Verbundprojekt (CP)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The aim of the DECODE project is to elucidate degradation mechanisms in PEFC with special focus on the influence of liquid water and in a second phase to modify components to achieve a significant improvement of PEFC durability. The focus of the project is the creation of new knowledge and understanding of the PEFC degradation processes, and in addition, the practical improvements of fuel cell performance and durability.The project encompasses 11 partners with the necessaryand important expertise…
Funding source: Deutscher Akademischer Austauschdienst (DAAD)
Project leader:
Silicon thin film solar cells are an innovative technology to produce solar cells. The
production cost of these cells is lower than for classical solar cells, since the
production process requires less energy and temperature. Furthermore, fast and
modern depositing machines decrease the production time. However the efficiency of
thin film solar cells is lower than for classical solar cells. Therefore, a very important
research topic is to increase the efficiency of thin film solar cells.
It is well-known that the optical properties of amorphous silicon (a-Si:H) and
microcrystalline silicon (μc-Si:H) thin-film solar cells have a significant influence on
the total efficiency of these solar cells. Thus, an important issue is to optimize both
light in-coupling and light trapping to obtain a higher efficiency of thin film solar cells.
The design, development, and test of new solar cell models is very time consuming.
Therefore suitable simulation techniques are needed to analyze the optical properties
of thin-film solar cells.
A new approach to increase the optical efficiency of thin film solar cells is to insert silver
nano-particles (see [2] and [3]) in the layer of silicon. The aim of the research project is to
analyze why such an approach increases the efficiency of the solar cells. To this end,
numerical simulations of the incoming optical wave in the thin film solar cell are needed. Such
a simulation requires large and small scale simulations by a suitable simulation tool.
Funding source: Deutscher Akademischer Austauschdienst (DAAD)
Project leader:
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE)
Project leader:
Im Verbundvorhaben KOMET soll ein modular aufgebauter Festkörperlaser entwickelt werden, der radial polarisiertes Licht hoher Strahlqualität emittiert, wodurch erhebliche Effizienzvorteile bei der Anwendung (schneiden und bohren) zu erwarten sind. Im Rahmen der Entwicklung dieses Lasers sollen neue Algorithmen zur numerischen Simulation dieses Lasertyps entwickelt werden.
Funding source: Bayerische Forschungsstiftung
Project leader:
Optical technologies are one of the key technologies of the 21st century. The appli- cations of these technologies range from medicine to information and communica- tion technology and from environmental technology to manufacturing technology. The progress in these technologies often depends on the possibility to predict the behavior of light by simulations of optical waves. However Maxwell equations are very difficult to solve for such kind of applications. Since many wavelengt- hs of …
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The SKALB project is sponsored by the German Federal Ministry of Education and Research (BMBF). Its goal is the efficient implementation and further development of flow solvers based on the lattice Boltzmann method to allow large-scale simulation with complex multi-physics on petascale class computers. The lattice Boltzmann method is well accepted within the field of computational fluid dynamics (CFD). The main advantage of this numerical method is its simplicity which allows the simulation of…
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE)
Project leader:
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Supercomputer architecture is moving quickly to multi-core and many- core architectures. An additional trend is the increasing use of special purpose accelerators, e.g. in form of graphics cards, the Cell processor, or reconfigu- rable hardware. This has the potential to deliver unprecedented performance at lower cost and reduced power consumption. However, this trend opens many unanswered questions on how these devices can be use effectively in real life supercomputing applications, since these…
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE)
Project leader:
Der Laser ist eine Basiskomponente für eine große Zahl moderner optischer Systeme mit wichtigen Einsatzfeldern in der verarbeitenden Industrie, der Medizin und der Informationstechnik. Aufgrund der wirtschaftlichen Bedeutung dieser Anwendungsgebiete gehört die Lasertechnik zu den zukunftsorientierten Schlüsseltechnologien. Die Beherrschung dieser Technik wird die Wettbewerbsfähigkeit wichtiger Branchen wie Maschinenbau, Optik und Elektronik, sowie Kommunikations- und Medizintechnik entscheidend beei…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
In developed nations vascular diseases are a major public health issue. The LSS is computing the haemodynamics in weakened blood vessels, in particular aneurysms, in cooperation with the Clinic for Neuroradiology in Erlangen, the Institute of Fluid Mechanics and the Chair for Pattern Recognition. The simulation is done using a Lattice Boltzmann method, which is adapted to the special geometry. Resulting data like pressure, velocity and shear stress may give information about development and treatment…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Solving problems in present-day simulation is becoming more and more complex. Both the number of physical effects taken into account and the complexity of the associated software development process increase. In order to meet these growing demands, the Chair for System Simulation (LSS) developed the massively parallel and flexible simulation framework waLBerla (widely applicable Lattice Boltzmann solver from Erlangen). Originally, the framework has been centered around the Lattice-Boltzmann method…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
HHG is a multigrid solver for finite elements on unstructured grids. The program takes a coarse input grid and refines it in a structured way. The resulting regular grid structure can be exploited using extremely memory-efficient data structures. This puts simulations of impressive scale into the realms of possibility. On HLRB II at the Leibniz Computing Centre Munich, a linear system of equations with 300 billion unknowns has been solved using 9170 processors.
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The development of efficient tools to calculate the electronic structure of molecules as well as extended systems on an ab initio level greatly enlarged the importance of theoretical simulation methods for fields like new materials research, catalysis or nanotechnology.
The majority of modern computer codes for large-scale systems are based on the expansion of electronic wavefunctions and densities in terms of plane waves. However, since some of the necessary integrals are evaluated in Fourier…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
This research project focuses on the development of the pe physics engine. pe is an advanced C++ framework for the simulation of rigid, completely undeformable bodies with arbitrary shape. pe offers both collision solvers for physically accurate simulations as well as fast solvers suitable for computer games. The major focus of pe are large-scale and massively parallel rigid body simulations with up to several billion interacting rigid bodies. The currently largest simulation with 28 billion non-spherical…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The reconstruction of the bioelectric field in the human brain from non-invasive measurements like electroencephalographic recordings (EEG) has the potential to become a powerful tool in neurology.
From a mathematical point of view, the reconstruction can be considered as an inverse problem, which can be solved by repeated numerical simulations of the potential distribution, that we call forward problem, for assumed dipolar current sources in the brain.
The sources to be localized during…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
To get high performance in numerical applications, characteristics of the executing platform have to be considered. The number of cores per CPU are likely to further increase, and heterogeneous, accelerated architectures to establish, but even reconfigurable units are possible. We therefore investigate and develop performance optimization techniques on modern and alternative hardware, like for instance multicore systems, GPGPUs, and other accelerator architectures.
Funding source: DFG / Schwerpunktprogramm (SPP)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Much of what one refers to as geological activity of the Earth is due to the fact that heat is transported from the interior of our planet to the surface in a planetwide solid-state convection in the Earth’s mantle. For this reason, the study of the dynamics of the mantle is critical to our understanding of how the entire planet works. Processes from earthquakes, plate tectonics, crustal evolution to the geodynamo are governed by convection in the mantle. Without a detailed knowledge of Earth‘s int…
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The production of nanoscaled particles with specific characeristics is crucial for many applications. To improve understanding of the properties of such aggregates in fluid suspensions we use the Lattice Boltzmann method. This allows us to determine basic parameters for single aggregates, like the drag force. More complex problems like the breaking in shear flow or further agglomeration of the molecules can also be simulated this way.
Our approach requires the incorporation of boundary …
Funding source: Deutsche Forschungsgemeinschaft (DFG)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Fluids with free surfaces are not only important in various situations during everyday life, e.g. when pouring water into a glass, but also for many productions processes like casting or foaming. This project uses the free surface algorithm developed in the course of the FreeWIHR project, where it is used to simulate the foaming of liquid metals, with the target of adapting and optimizing it for additional applications as computer graphics and nano-technology.
Due to its computational …
Funding source: DFG-Einzelförderung / Forschungsstipendium (EIN-SFOR)
Project leader:
Die Implementierung von numerischen Algorithmen zur Lösung von partiellen Differentialgleichungen kostet viel Zeit und ist insbesondere dann schwierig, wenn eine sehr effiziente Implementierung und eine Parallelisierung notwendig ist. Mit Hilfe von Expression Templates können numerische Algorithmen wesentlich einfacher effizient implementiert und parallelisiert werden. Gezeigt wurde dies in der Bibliothek ExPDE, mit der partielle Differentialgleichungen mit linearen Finiten Elementen…
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
In the last few years methods, cellular automata (CA) became increasingly popular to simulate the physical phenomena that have to be considered when developing and manufacturing new materials. Among these phenomena are the formation of grain structures or dendrites during solidification. A special CA called Lattice Gas or Lattice Boltzmann Method (LBM) is perfectly suited for modeling flows in complex and time- dependent geometries as they are encountered in the context of metal foams or of composite…
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
During the KONWIHR supported project Par-EXPDE a library for the numerical treatment of partial differential equations has been developed. This library stands out by its user- friendlyness whereas the therewith created programs are very efficient regarding the execution speed thanks to the use of so-called Expression Templates. In addition, it provides a user-transparent parallelisation for the execution on high performance computers or clusters of workstations.
The aim of the project is…
Project leader: , ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The goal of the Flownoise project is the simulation of flow-induced sound (noise). Flow induced noise is a very common phanomenon in the industrialised world, examples of noise pollution sources are fans, cars, trains and planes.
This project investigates the noise generation due to turbulent (air) flow. The challenge lies in the coupling of the existing solvers for the flow and the acoustic wave propagation respectively. In constrast to the better understood case of fluid-structure interaction…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The use of PDEs in image processing is internationally a recent field of research. The project deals with the development of a multigrid framework for variational approaches in image processing. As applications we consider e.g. optical flow to estimate motion in image sequences, image inpainting for noise reduction, error correction or compression of video data, non-rigid image registration of medical data sets or tomographic image reconstruction.
In that cases multigrid techniques can be…
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The BEO project creates a software environment to simulate high temperature processes in 3D. The key aspects are object oriented Software-design to enable the further development and extension of the package. In a first step heat conduction and radiation are taken into account. The simulation of the heat conduction is based on a Finite Element Method on unstructured meshes. To cope with the enormous computational effort for the global 3D Simulation it is possible to use "distributed memory" parallel…
Funding source: Bayerisches Staatsministerium für Umwelt und Gesundheit (StMUG) (bis 09/2013)
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The project included the mathematical modelling of natural attenuation processes in the subsurface and the extension of a software tool for complex reactive multicomponent processes in the framework of mixed hybrid and conforming finite elements. New parameter identification methods allow the parametrization of unknown functions or a formfree optimization, and help to overcome the dilemma of missing data in complex models. Work included instationary 3D simulations and scenarios of contaminated s…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Inverse problems are broadly characterized by their use of mathematical models for determining unknown system inputs, sources, parameters and/or states from observed system outputs and responses. This is the reverse of the typical, forward solution process wherein all system inputs, sources and parameters are known and mathematical models are used to predict the outputs and states.
An important class of inverse problems are those found in bioelectric field imaging. This model based analysis…
Project leader:
The goal of the project is the parallelisation and porting of the finite element program EXPDE to the Federal Top-Level Computer. EXPDE is a flexible finite element multigrid solver which works on semi-unstructured grids. It has been successfully used to solve nonlinear heat conduction, elasticity, transport and Stokes problems.
This program is to be ported to the Hitachi SR8000 in close collaboration with the gridlib project. Vital importance is attached to the development of innovative…
Project leader:
Für die in der Deskriptiven Komplexitätstheorie (oder Endlichen Modelltheorie) verwendeten Logiken (wie DTC, TC, Fixpunktlogiken, Logiken zweiter Stufe, Logiken mit verallgemeinerten Quantoren, etc.) gibt es keine finitären Kalküle, die die allgemeingültigen Sätze generieren; schon für FOL gibt es keinen finitären Kalkül, der alle Sätze liefert, die in allen endlichen Modellen wahr sind.
Dennoch existieren meistens Kalküle mit infinitären Regeln, die genau die (im Endlichen) allgemeingültigen Sätze der be…
Funding source: Deutsche Forschungsgemeinschaft (DFG)
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Die Geschwindigkeit, mit der moderne Rechnerarchitekturen arithmetische Operationen durchführen können, übertrifft bei weitem die Geschwindigkeit, mit der die benötigten Daten vom Speicher dem Prozessor zugeführt werden können. Es wird häufig versucht, dieses Problem durch die Verwendung von schnellen Zwischenspeichern (Caches) zu umgehen. Um allerdings die Cache-Hierarchien möglichst effizient auszunutzen, müssen die numerischen Algorithmen an die Architektur angepasst werden. Das Ziel…
Project leader: ,
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
The combination of state of the art numerical methods such as multigrid und multilevel methods with high performance computers makes it possible to tackle problem sizes in the TerraByte range. The pre- and postprocessing of such data sets are high performance computing tasks in their own right. The main aim of this project is the development of a grid management software that will provide a common platform for both simulation and visualization methods. The grid management has to support unstructured…
Project leader:
Prof. Dr. Ulrich Rüde
Professor im Ruhestand
Thema des Projektes ist die Genauigkeit numerischer Methoden für die Konvektions-Diffusions-Gleichung und die Navier-Stokes-Gleichungen. Die untersuchten Methoden beruhen auf Extrapolation und der Konstruktion spezieller numerischer Quadraturformeln. Da eine effiziente Methode auch schnelle Löser benötigt, werden im Projekt auch Mehrgitter, kaskadische Algorithmen und adaptive Methoden behandelt.