Difference between revisions of "Running Research and Development Projects"

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| '''Funded by''' || EU
 
| '''Funded by''' || EU
 
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| '''Begin''' || t.b.a.
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| '''Begin''' || 15.01.2009
 
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| '''End''' || t.b.a.
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| '''End''' || 14.01.2012
 
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| '''Leader''' || t.b.a.
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| '''Leader''' || Dr. Iring Wasser
 
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| '''Staff''' || t.b.a.
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| '''Staff''' || Prof. Dr.-Ing. Martin Gabi, Prof. Dr. rer. nat. Ernst Rank, [[Univ.-Prof. Dr. Hans-Joachim Bungartz]], Dr. Mihailo Ristic, Prof. Dr. Javier Alvarez del Castillo, Andrej Vrbancic,
 
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| '''Contact person''' || t.b.a.
 
| '''Contact person''' || t.b.a.
 
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| '''Co-operation partner''' ||  t.b.a.
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| '''Co-operation partner''' ||  the German University in Cairo - GUC, Prof. Dr. Milos Nedeljkovic (University of Belgrade), Prof. Dr. Milan Matijevic (University of Kragujevac), Prof. Dr. Dragan Lazic (University of Belgrade), Prof. Dr. Zarko Cojbasic (University of Nis), Prof. Dr. Radivoje (Ministry of Education, Serbia), National Tempus Office Serbia, Dr. Zaljko Despotovic (Institute "Mihajlo Pupin", Serbia), Rectorate of University of Belgrade, Biserka Ilic (Informatika doo, Serbia), Dusan Babic (IvDam Process Control doo, Serbia)
 
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Revision as of 12:25, 3 February 2011

Excellence Initiative: IGSSE

Hardware-oriented Simulation and Computing

Project type IGSSE Project Team
Funded by Excellence Initiative of the German federal and state governments
Begin April 2007
End March 2010
Leader Dr. rer. nat. Michael Bader, Dr. Carsten Trinitis
Staff Csaba Attila Vigh, M.Sc,

Dipl.-Inf. Tobias Weinzierl

Contact person Dr. rer. nat. Michael Bader
Co-operation partner Prof.Dr. Arndt Bode (CeCVDE, TUM-Informatik), Prof. Dr. Markus Schwaiger (BioMedTUM)

Brief description

The recent development of commodity as well as high-performance computers shows that computationally and data intensive tasks can only benefit from the hardware's full potential, if both processor and architecture features are taken into account - from the early algorithmic design up to the final implementation. Evident examples are the limited memory access via a hierarchy of cache memory and the increasingly hybrid and hierarchical design of high-end systems, both complicated by the ongoing trend towards multi- and manycore CPUs, accelerators and other HPSoCs (High Performance Systems on a Chip). Against this background, this proposal focuses on hardware-aware programming in the context of several applications from Science and Engineering:

  • Simulation of fluid flow problems on dynamically adaptive discretisation grids using recursive structured grid generation approaches and space-filling curves for parallelisation and cache-oblivious implementation.
  • Compute- and memory-intensive Boundary Element calculations of electric field and potential distributions in the context of simulation and optimisation of High Voltage Apparatus design. (Group Prof. Bode).
  • Hardware-aware algorithms for image reconstruction in medical imaging. (Group Prof. Schwaiger)


Development of New Methods for the Production of Highly Reactive Polyisobutenes

Project type IGSSE Project Team
Funded by Excellence Initiative of the German federal and state governments
Begin April 2007
End March 2010
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz, Dr. rer. nat. Miriam Mehl
Staff Csaba Attila Vigh, M.Sc

Dipl.-Tech. Math. Tobias Neckel

Contact person Dr. rer. nat. Miriam Mehl
Co-operation partner Prof. Dr. Fritz Kühn (Chemisty, TUM)

Brief description

Polyisobutene are used in industry in large amounts. Depending on their molecular weight, they are required for rubber production or applied as adhesives, e.g.. More than 100,000 t of highly reactive polyisobutene are produced per year. Thus, efficiency and environmental compatibility are very important tasks. However, to achieve a high qulity and good productivity, all known production methods require reaction temperatures far below 0 degree celsius and solvents such as methylenchloirde, dichlormethane, or ethene. Recently, a new type of catalysts was developed at TUM (Lst. für Anorganische Chemie), that allows the production of highly reactive polyisobutene at ambient temperature and in solvents free from chlorine. The tasks of this group are to transfer this method developed on the laboratory scale to the scale of a production reactor, the detection of the underlying chemical reaction mechanisms, and, finally, the further improvement of the method. To reach these tasks, we will exploit synergies between chemistry and informatics by combining methods of experimental chemistry (reaction mechanisms, testing of other catalysts, heterogeneous catalysis, etc.) and scientific computing (examination and optimization of the cooling of the exothermic reactions, flow and transport processes).


Distributed stochastic simulation for the hydroelastic analysis of very large floating structures

Project type IGSSE Project Team
Funded by Excellence Initiative of the German federal and state

governments

Begin Oktober 2008
End September 2011
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz, Dr. rer. nat. Miriam Mehl
Staff Bernhard Gatzhammer, M.Sc, Dipl.-Inf. Marion Bendig
Contact person Dr. rer. nat. Miriam Mehl
Co-operation partner Prof.Dr. Ernst Rank, Dr. Ralf-Peter

Mundani, PD Dr. Alexander Düster, Prof. PhD Chien Ming Wang (Singapur), SOFiSTiK AG (Oberschleißheim)

Brief description

Very large floating structures (VLFS) are more and more employed by a number of countries in creating land space from the ocean. These “swimming islands” are of pontoon-type and benefit from high stability, low manufacturing costs, and easy maintenance. Owing to their much larger dimensions in length than in depth, the VLFS are relatively flexible and, thus, VLFSs have to be robustly designed against wave-induced deformations and stresses. As such a reliability analysis involves many uncertainties, efficient methods have to be developed that allow for both the modelling of uncertain behaviour and the handling of the computational complexity. In this project, the main objective focuses on the development and implementation of a prototype for the hydroelastic analysis of VLFS. Therefore, stochastic finite elements are subject of choice for the planned reliability analysis over huge sets of different structural properties, while sophisticated techniques of modern grid computing should tackle the computational problem of such complex parameter studies.

Excellence Initiative: IAS

The Institute for Advanced Study (IAS) of Technische Universität München is the centerpiece of TUM’s institutional strategy to promote top-level research in the so-called Excellence Initiative by the German federal and state governments.

HPC - Tackling the Multi-Challenge

Project type IAS focus group
Funded by Excellence Initiative of the German federal and state and governments
Begin 2010
End 2013
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff Miriam Mehl
Contact person Miriam Mehl
Co-operation partner Prof. George Biros (Georgia, USA), Prof. Jan Vierendeels (Ghent, Belgium), Markus Hegland (Canberra, Australia)

Brief description

High-performance computing (HPC) is a thriving cross-sectional research field of utmost relevance in science and engineering. Actually, scientific progress is more and more depending on insight gained by computational research. With the increased technological potential, however, the requirements are growing, too – which leads to several computational challenges, which are all related to some “multi-X” notion: multi-disciplinary, multi-physics, multi-scale, multi-dimensional, multi-level, multi-core. This focus group will primarily address the three topic multi-physics (mp), multi-dimensional (md), and multi-core (mc).
The interplay of these three subtopics is straightforward: Both mp and md are among the usual suspects that need and, thus, drive HPC technology and mc; mp frequently appears in the context of optimisation or parameter identification or estimation – thriving topics of current md research; and present as well as future mc technology is inspired by algorithmic patterns, as provided by mp and md. Hence, it is not only reasonable to address mp, md, and mc in an integral way, it is essential, and this IAS focus group offers the unique chance of doing this at a very high international level.


Excellence Initiative: MAC@IGSSE

The Munich Centre of Advanced Computing (MAC) is a research consortium which has been established at TUM to bundle research activities related to computational science and engineering (CSE) as well as high-performance computing (HPC) - across disciplines, across departments, and across institutions. In MAC, seven of TUM's departments and other Munich research institutions (Ludwig-Maximilians-Universität, Max-Planck insititutes, the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities) as well as TUM's international partners such as KAUST, the King Abdullah University of Science and Technology, join their forces to ensure the sustainable usage of current and future HPC architectures for the most relevant and most challenging CSE applications.


Efficient Parallel Strategies in Computational Modelling of Materials

Project type Förderprogramm ”Bayern exzellent”: Munich Centre of Advanced Computing (MAC)
Funded by Bavarian state government, Technische Universität München
Begin 2008
End 2012
Leader Prof. Dr. Dr. h.c. Notker Rösch
subproject: Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff Martin Roderus
Contact person Martin Roderus
Co-operation partner Prof. Dr. Dr. h.c. Notker Rösch, Prof. Dr. Arndt Bode, Prof. Dr. Michael Gerndt, Prof. Dr. Heinz-Gerd Hegering

Brief description

The project will develop a new paradigm for the parallelisation of density functional theory (DFT) methods for electronic structure calculations and implement this new strategy. Advanced embedding techniques will account for environment effects (e.g. solvent, support) on a system, which requires a strong modularisation of the DFT approach, facilitating task specific parallelisation, memory management, and low-level optimisation. Efficiency will be further increased by dynamical adaptation of varying resource usage at module level and pooling of applications.


A High-End Toolbox for Simulation and Optimisation of Multi-Physics PDE Models

Project type Förderprogramm ”Bayern exzellent”: Munich Centre of Advanced Computing (MAC)
Funded by Bavarian state government, Technische Universität München
Begin 2008
End 2012
Leader Prof. Dr. Michael Ulbrich
subproject: Univ.-Prof. Dr. Hans-Joachim Bungartz, Dr. rer. nat. Miriam Mehl
Staff Janos Benk, M.Sc
Contact person Dr. rer. nat. Miriam Mehl
Co-operation partner Prof. Dr. Michael Ulbrich, Prof. Dr. Martin Brokate, Prof. Dr. Ernst Rank, Prof. Dr. Ronald Hoppe (Augsburg)

Brief description

The project aims at bundling forces to overcome conceptional drawbacks of current simulation software and to make a big step towards a future generation of simulation and optimisation tools for complex systems. The goal is to develop a rapid prototyping HPC software platform for both simulation and optimisation. The design will be hierarchical, with high performance components on all levels, ranging from problem formulation via discretisation to numerics and parallelisation. Work will be interwoven with theoretical investigations of innovative numerical algorithms.


A Scalable Infrastructure for Computational Steering

Project type Förderprogramm ”Bayern exzellent”: Munich Centre of Advanced Computing (MAC)
Funded by Bavarian state government, Technische Universität München
Begin 2008
End 2012
Leader Prof. Dr. Rüdiger Westermann
subproject: Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff N.N.
Contact person N.N.
Co-operation partner Prof. Dr. Rüdiger Westermann, Prof. Bernd Brügge, Ph.D., Prof. Dr. Ernst Rank, Prof. Dr.-Ing. Wolfgang Wall

Brief description

The goal of this project is to design and prototype a scalable infrastructure for computational steering. It will be targeted for the computational engineering domain, which allows to leverage existing cooperative developments as a starting point and to use real-world data that is representative in size, modality, and structure to what is available in other scientific areas like geology or biology. The infrastructure implements a processing pipeline ranging from scalable data processing workflows to interactive visualisation and human-computer interaction in virtual and augmented reality environments.

Excellence Initiative: MAC@KAUST

Simulation of CO2 Sequestration

Project type Strategic Partnership with the King Abdullah University of Science and Technology (KAUST)]
Funded by KAUST
Begin 2009
End 2013
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff Michael Lieb
Contact person Univ.-Prof. Dr. Hans-Joachim Bungartz
Co-operation partner Prof. Dr. Dr.-Ing. habil. Arndt Bode (Computer Architecture), Prof. Dr. Martin Brokate (Numerical Mathematics and Control Theory), Prof. Dr. Drs. h.c.Karl-Heinz Hoffmann (Numerical Mathematics and Control Theory), Prof. Dr.-Ing. Michael Manhart (Hydromechanics), Prof. Dr. Michael Ulbrich (Mathematical Optimisation)

Brief description

The goal of this project is to design and investigate novel approaches to modelling and simulation of CO2 sequestration processes, in particular in the context of enhanced oil recovery. The project will involve both fine-grain simulations - with all related aspects from multi-phase schemes via numerical algorithmics to high-performance computing issues - and homogenization approaches to efficiently capture the fine-grain effects on the macro-scale. For that, groups with expertise in flow physics, mathematical modelling, numerical analysis, numerical algorithmics, optimisation and inverse problems, and high-performance computing and HPC systems join their forces. Topics addressed will cover multi-scale modelling and homogenisation, fully-resolved pore-scale simulation, constrained optimisation of the sequestration process, enhanced numerics and parallelisation, and HPC implementation.


Virtual Arabia

Project type Strategic Partnership with the King Abdullah University of Science and Technology (KAUST)]
Funded by KAUST
Begin 2009
End 2013
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff N.N.
Contact person Univ.-Prof. Dr. Hans-Joachim Bungartz
Co-operation partner Prof. Dr. Dr.-Ing. habil. Arndt Bode (Computer Architecture), Prof. Gudrun Klinker, Ph.D. (Augmented Reality), Prof. Dr. Ernst Rank (Computation in Engineering), Prof. Dr. Rüdiger Westermann (Computer Graphics & Visualization)

Brief description

The goal of this project is to develop a virtual environment for the interactive visual exploration of Saudi Arabia. In contrast to virtual globe viewers like Google Earth, this environment will allow the user to look both above and underneath the earth surface in an integrated way. It will, thus, provide interactive means for the visual exploration of 3D geological structures and dynamic seismic processes as well as atmospheric processes and effects or built or planned infrastructure. The specific techniques required to support such functionality will be integrated into a generic infrastructure for visual computing. The project will cooperate with the KAUST 3D Modelling and Visualisation Centre and the KAUST Computational Earth Sciences Centre.

DFG: Numerical Aspects of the Simulation of Quantum Many-body Systems

Project type QCCC project
Funded by Quantum Computing, Control and Communication (QCCC)
Begin January 2008
End December 2011
Leader Univ.-Prof. Dr. Thomas Huckle
Staff Dipl.-Math. Konrad Waldherr
Contact person Univ.-Prof. Dr. Thomas Huckle
Co-operation partner Dr. Thomas Schulte-Herbrueggen (Chemistry, TUM)

Brief description

In the last years a growing attention has been dedicated to many body quantum systems from the point of view of quantum information. Indeed, after the initial investigation of simple systems as single or two qubits, the needs of understanding the characteristics of a realistic quantum information device leads necessary to the study of many body quantum systems. These studies are also driven by the very fast development of experiments which in the last years reach the goal of coherent control of a few qubits (ion traps, charge qubits, etc...) with a roadmap for further scaling and improvement of coherent control and manipulation techniques. Also, new paradigm of performing quantum information tasks, such as quantum information transfer, quantum cloning and others, without direct control of the whole quantum system but using our knowledge of it has increased the need of tools to understand in details the behaviour of many body quantum system as we find them in nature. These new goals of the quantum information community lead to an unavoidable exchange of knowledge with other communities that already have the know-how and the insight to address such problems; for example the condensed matter, computational physics or quantum chaos communities. Applying known techniques and developing new ones from a quantum information perspective have already produced fast and unexpected developments in these fields. The comprehension of many body quantum systems ranging from few qubits to the thermodynamical limit is thus needed and welcome not only to develop useful quantum information devices, but it will lead us to a better understanding of the quantum world. Reference: Computations in Quantum Tensor Networks

BMBF: HPC Software for Scalable, Parallel Hardware

The two following BMBF projects were established within the BMBF call "HPC Software for Scalable, Parallel Hardware" in 2008.


Highly Scalable Eigenvalue Solvers for Petaflop Applications (ELPA)

Website of the project

Project type BMBF-Projekt; "HPC Software für skalierbare Parallelrechner"
Funded by BMBF
Begin 2008
End 2012
Leader Rechenzentrum Garching, Dr. Hermann Lederer
Staff Thomas Auckenthaler, Univ.-Prof. Dr. Michael Bader, Univ.-Prof. Dr. Hans-Joachim Bungartz, Univ.-Prof. Dr. Thomas Huckle
Contact person Thomas Auckenthaler
Co-operation partners Rechenzentrum Garching (Dr. H. Lederer),
Bergische Universität Wuppertal, Lehrstuhl für Angewandte Informatik (Prof. A. Frommer, Prof. B. Lang),
Fritz-Haber-Institut, Berlin, Abt. Theorie (Prof. M. Scheffler, Dr. V. Blum),
Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig, Abt. Komplexe Strukturen in Biologie und Kognition (Prof. J. Jost),
IBM Deutschland GmbH

Brief description

The ELPA project will develop highly scalable solvers for Eigenvalue problems. Primary goal will be the design and implementation of a highly scalable direct Eigensolver for large, dense, symmetric matrices. Integration of the respective code into a respective library is planned. In addition, the use of iterative solvers for specific Eigenproblems will also be investigated.


Innovative HPC-Methoden und Einsatz für hochskalierbare Molekulare Simulation (IMEMO)

Project type BMBF-Projekt; "HPC Software für skalierbare Parallelrechner"
Funded by BMBF
Begin 2008
End 2012
Leader Prof. Dr.-Ing. Michael Resch, HLRS, Universität Stuttgart
Staff Martin Buchholz, Ekaterina Elts, M.Sc, Wolfgang Eckhardt, Univ.-Prof. Dr. Michael Bader, Univ.-Prof. Dr. Hans-Joachim Bungartz
Contact person Martin Buchholz
Co-operation partners Institut für Techno- und Wirtschaftsmathematik (ITWM) an der Fraunhofer Gesellschaft (Dr. Franz-Josef Pfreundt),
Höchstleistungsrechenzentrum (HLRS) der Universität Stuttgart (Prof. Dr.-Ing. Michael Resch),
Lehrstuhl für Thermodynamik (LTD) an der Universität Kaiserslautern (Prof. Dr.-Ing. Hans Hasse),
Lehrstuhl für Thermodynamik und Energietechnik (ThEt) an der Universität Paderborn (Prof. Dr.-Ing. Jadran Vrabec)

Brief description

Within the IMEMO project, our SCCS group will develop efficient algorithms for the parallelisation of large-scale molecular simulations. One of the main questions is the dynamical load balancing in settings where strong imbalances occur, such as during condensation processes, where the distribution of molecules in different parts of the computational domain will vary over several orders of magnitude. A further important focus is the development of hierarchical parallel algorithms on highly parallel clusters of manycore processors.

BMBF: Program Math

Non-Linear Characterization and Analysis of FEM Simulation Results for Motor-Car Components and Crash Tests (SIMDATA-NL)

Project type BMBF support program: Mathematics for innovations in the Industrial and Service Sectors
Funded by BMBF
Begin July 2010
End June 2013
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff Benjamin Peherstorfer, M.Sc, Dr. rer. nat. Dirk Pflüger
Contact person Dr. rer. nat. Dirk Pflüger
Co-operation partner Prof. Dr. Michael Griebel (INS, Bonn)

Prof. Dr. Claudia Czado (Mathematical Statistics, TU München), Dr. Jochen Garcke (Institute of Mathematics, TU Berlin), Clemens-August Thole, Prof. Dr. Ulrich Trottenberg (SCAI, St. Augustin), AUDI AG, PDTec AG, Volkswagen AG

Brief description

The project aims at the extraction of the (few) effective dimensions in high-dimensional simulation data in the context of automotive design. Linear methods, like the principal component analysis, alone are not sufficient for many of those applications due to significant non-linear effects. Therefore, they will be complemented by methods that are able to resolve nonlinear relationships, especially by means of sparse grid discretizations.

EU: DEISA DECI 7 - DiParTS

Project type HPC/Grid Project
Funded by DEISA
Begin July 2010
End April 2011
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz, Dr. rer. nat. Tobias Weinzierl
Staff Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger
Contact person Dr. rer. nat. Tobias Weinzierl
Co-operation partner Dr.-Ing. Ionel Muntean (TU Cluj-Napoca), King Abdullah University of Science and Technology (KAUST)

Brief description

The DiParTS project (Distributed Particle Transport Simulation in a Grid-like HPC CFD Environment) numerically studies particles dispersed in non-stationary fluids within tube-like geometries on the micro-scale, where the fluid and, as a consequence, the particles are stimulated by an oscillating pressure. The particles’ long-time behaviour due to the pressure oscillations, i.e. their averaged movement on the long-term time-scale, allows us to draw conclusions, for example, on the causes of particle sedimentary deposition and centrifugal particle separation in several applications, as the particles exhibit a drift along the stimulation amplitude. Here, classical fluid-structure interaction phenomena interplay with Brownian motion and particle-wall interaction. In a preceding DEISA project, we already studied simplified experimental setups on the short-time time-scale. Despite some promising and interesting insights from a fluid-dynamics point of view, the full simulation of the situation described above however proved to be far from solvable with today’s computing power. Due to this proposal, we nevertheless will broaden the horizon of computability, as we switch from a fully coupled system to an approach where the fluid simulation without particles on an extremely fine spatial and temporal resolution is cut into small time intervals, these chunks of computational challenges are deployed to supercomputers, and the fluid fields are coarsened spatially before the supercomputer streams the data back to the scientist’s local workstation where it is post-processed, i.e. the Brownian motion and the particles’ effect are remotely added to the flow field after the fluid dynamics time step has terminated. The extreme computing power spent on this waterfall process – in particular on the fine-scale fluid dynamics simulation – will yield new insights on the long-time behaviour of the overall simulation setup, while the approach is validated simultaneously by a comparison of a fully-coupled fluid-interaction setting with the decoupled simulation for several small time steps.

Official DEISA webpage

EU: Tempus CANDI

Project type EU Tempus Project
Funded by EU
Begin January 2010
End December 2013
Leader University Vienna
Staff Univ.-Prof. Dr. Hans-Joachim Bungartz, Univ.-Prof. Dr. Ernst W. Mayr, Univ.-Prof. Dr. Helmut Seidl, Dr. rer. nat. Tobias Weinzierl
Contact person Dr. rer. nat. Tobias Weinzierl
Co-operation partner see official webpage

Brief description

The CANDI project will develop both the infrastructure for e-Learning / Retraining, and the skills necessary to transfer existing courses and curricula to an e-Learning environment. The project is set up in a way to address multiple problems simultaneously:

  • Most obviously, CANDI will help to educate large numbers of students. Additional costs for the infrastructure will be modest, since no new buildings are necessary, existing teaching \ personnel can be employed, and only modest investment in computer infrastructure is necessary.
  • CANDI will help to narrow the gap between the education level in central universities and the provinces.
  • CANDI will train the local university staff in systematic and effective use of e-Learning, presentation technology, and related didactic skills. Existing e-Learning approaches we saw in Central Asia mostly involve electronic versions of course notes on the internet.
  • Importantly, CANDI will use e-Learning not only to teach students, but also to teach university staff, in particular at institutions in provincial cities. In fact, e-Learning will also become the main medium to teach e-Learning skills.
  • CANDI will support the retraining of industry staff. On the other hand, CANDI will also open opportunities for industry to deliver applied courses and lectures to a university audience.
  • CANDI will employ cheap open source solutions for e-Learning. In addition to these direct effects, CANDI will also have important positive indirect effects on universities and industries in Uzbekistan and Kazakhstan:
  • CANDI will have a pilot phase where existing courses from European partners will be transferred into the e-Learning framework. Since these courses will reflect the state of the art in their respective areas (mostly Computer Science, Chemistry, Computational Science, Soft Skills), they will by their nature improve the quality of the curricula inside and outside of e-Learning.
  • The establishment of standardized e-learning courses facilitates the convergence of different academic systems, and thus the possibility of a credit transfer system.
  • CANDI will improve the English and soft skill knowledge of all participants, thereby improving the ability of Central Asian staff to achieve sustainability by international grants.
  • By building the competence for e-Learning, CANDI will also contribute to the knowledge base in software engineering and programming in Uzbekistan and Kazakhstan.

EU: Tempus Belgrad

Project type EU Tempus Project
Funded by EU
Begin 15.01.2009
End 14.01.2012
Leader Dr. Iring Wasser
Staff Prof. Dr.-Ing. Martin Gabi, Prof. Dr. rer. nat. Ernst Rank, Univ.-Prof. Dr. Hans-Joachim Bungartz, Dr. Mihailo Ristic, Prof. Dr. Javier Alvarez del Castillo, Andrej Vrbancic,
Contact person t.b.a.
Co-operation partner the German University in Cairo - GUC, Prof. Dr. Milos Nedeljkovic (University of Belgrade), Prof. Dr. Milan Matijevic (University of Kragujevac), Prof. Dr. Dragan Lazic (University of Belgrade), Prof. Dr. Zarko Cojbasic (University of Nis), Prof. Dr. Radivoje (Ministry of Education, Serbia), National Tempus Office Serbia, Dr. Zaljko Despotovic (Institute "Mihajlo Pupin", Serbia), Rectorate of University of Belgrade, Biserka Ilic (Informatika doo, Serbia), Dusan Babic (IvDam Process Control doo, Serbia)


DAAD/EU: Accompanying Mobility Measures for the SimLab in Belgrade - SimLab Scholarship Program and Compact Courses

Website of the project

Project type DAAD Programme Academic Reconstruction of South Eastern Europe
Funded by German Academic Exchange Service (DAAD)
Begin February 2002
End December 2010
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff Dr. Ralf-Peter Mundani, Dipl.-Ing. Ioan Lucian Muntean
Contact person Univ.-Prof. Dr. Hans-Joachim Bungartz

SimLab Scholarship program

Seventh SimLab Course on Parallel Numerical Simulation

Additional information


KONWIHR: Computational Steering of Complex Flow Simulations

Project type Kompetenznetzwerk für Technisch-Wissenschaftliches

Hoch- und Höchstleistungsrechnen in Bayern KONWIHR II

Funded by BMBF
Begin 2008
End 2011
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz, Dr. rer. nat. Miriam Mehl
Staff
Contact person Dr. rer. nat. Miriam Mehl
Co-operation partner Prof.Dr. Ernst Rank, Prof. Dr. Michael Manhart, Prof. Dr. Bernd Simeon, Prof. Dr. Peter Rentrop

Brief description

Computational Science and Engineering faces a continuous increase of speed of computers and availability of very fast networks. Yet, it seems that some opportunities offered by these ongoing developments are only used to a fraction for numerical simulation. Moreover, despite new possibilities in computer visualisation, virtual or augmented reality and collaboration models, most available engineering software still follows the classical way of a strict separation of pre-processing, computing and post-processing. In the previous work of the applicants of this proposal, some of the major obstructions for an interactive computation for complex simulation tasks in engineering sciences have been identified and partially removed. These were especially found in traditional software structures, in the definition of geometric models and boundary conditions, and in the often still very tedious work of generating computational meshes. A generic approach for collaborative computational steering has been developed, where pre- and post-processing are integrated with high-performance computing and which supports cooperation of workgroups being connected via the internet. Suitable numerical methods are at the core of this approach such as the Lattice Boltzmann method (LBM) for fluid flow simulation. The proposed project will extend this approach in various directions.


ENB:

Bavarian Graduate School of Computational Engineering (BGCE)

Website of the BGCE

Project type Elite Study Program
Funded by Elite Network of Bavaria
Begin April 2005
End April 2015
Leader Univ.-Prof. Dr. Hans-Joachim Bungartz
Staff Dr. rer. nat. Tobias Neckel, Dipl.-Inf. Marion Bendig
Contact person Dr. rer. nat. Tobias Neckel
Co-operation partner International Master's Program Computational Science and Engineering (TUM)

International Master's Program Computational Mechanics (TUM)
International Master's Program Computational Engineering (U Erlangen)

Brief description

The Bavarian Graduate School of Computational Engineering is an association of the three Master programs: Computational Engineering (CE) at the University of Erlangen-Nürnberg, Computational Mechanics (COME), and Computational Science and Engineering (CSE), both at TUM. Funded by the Elitenetzwerk Bayern, the Bavarian Graduate School offers an Honours program for gifted and highly motivated students. The Honours program extends the regular Master's programs by several academic offers:

  • additional courses in the area of computational engineering, in particular block courses, and summer academies.
  • Courses and seminars on "soft skills" - like communication skills, management, leadership, etc.
  • an additional semester project closely connected to current research

Students who master the regular program with an above-average grade, and successfully finish the Honours program, as well, earn the academic degree "Master of Science with Honours".