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DTSTART;TZID=Europe/Berlin:20260624T160000
DTEND;TZID=Europe/Berlin:20260624T180000
DTSTAMP:20260227T101257Z
CREATED:20260227T101256Z
LAST-MODIFIED:20260227T101257Z
UID:1859-1782316800-1782324000@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:Seminar Series @16:00-17:00 (hybrid) & HPC Café @17:00-18:00 (on-site) \n\n\n\nSafe the date!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-12/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20260429T160000
DTEND;TZID=Europe/Berlin:20260429T180000
DTSTAMP:20260227T101049Z
CREATED:20260227T101049Z
LAST-MODIFIED:20260227T101049Z
UID:1852-1777478400-1777485600@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:Seminar Series @16:00-17:00 (hybrid) & HPC Café @17:00-18:00 (on-site) \n\n\n\nSafe the date!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-10/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20260325T160000
DTEND;TZID=Europe/Berlin:20260325T180000
DTSTAMP:20251215T100507Z
CREATED:20251215T100506Z
LAST-MODIFIED:20251215T100507Z
UID:1798-1774454400-1774461600@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:Save the Date!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-9/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20260225T160000
DTEND;TZID=Europe/Berlin:20260225T180000
DTSTAMP:20260223T152732Z
CREATED:20251215T100431Z
LAST-MODIFIED:20260223T152732Z
UID:1795-1772035200-1772042400@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:4:00-5:00: Scientific Talk by Surya Kiran Peravali (HSU/UniBw H)Design and Optimization of Nanoparticle Injectors for XFEL Experiments Using Multiscale Simulation MethodsX-ray free-electron lasers (XFELs)\, operated at DESY\, generate extremely intense and ultrashort X-ray pulses that enable imaging of matter at atomic and nanometer length scales. One important application of XFELs is single-particle diffractive imaging (SPI)\, a technique that aims to determine the three-dimensional structure of individual nanoparticles\, viruses\, and biomolecules without the need for crystallization. In SPI experiments\, particles are injected into the XFEL beam in free flight\, and diffraction patterns are recorded before X-ray pulse destroys the sample\, a concept known as diffraction before destruction. A central challenge in SPI is sample delivery: The injector must provide a dense\, well-collimated beam of isolated particles with minimal background gas load. Achieving this is non-trivial because the carrier-gas flow inside injector systems spans a wide range of regimes\, from continuum flow at high pressure to highly rarefied conditions near the interaction region. Accurate modeling of such systems therefore requires methods that go beyond classical computational fluid dynamics. In this talk\, a multiscale simulation framework for nanoparticle injector design is presented\, focusing on aerodynamic lens systems (ALS) and their combination with cryogenically cooled buffer-gas cells (BGC). The approach couples continuum Computational Fluid Dynamics (CFD) methods with the Direct Simulation Monte Carlo (DSMC) method\, allowing molecular-scale effects to be resolved only where necessary while retaining computational efficiency elsewhere. The coupled simulation methodology is installed on HSUper and most of the simulations are carried out on this HPC cluster. Special attention is given to particle-gas interaction modeling: Several drag-force formulations are evaluated\, and a relaxation-based correction is introduced to improve particle-trajectory predictions in transitional and rarefied flow regimes. The framework is validated against experimental measurements from ALS\, BGC\, and combined BGC-ALS injectors operated at XFEL facilities. Results show that the hybrid CFD-DSMC approach significantly improves agreement with experiments compared to conventional CFD. In particular\, cryogenic BGC-ALS configurations enhance the focusing of protein-sized nanoparticles by reducing thermal velocities and Brownian motion\, leading to improved beam collimation and injector performance. Overall\, this work demonstrates how multiscale simulations can guide the design and optimization of injector systems for XFEL-based SPI\, enabling higher hit rates and more reliable structural imaging of nanoscale objects. \n\n\n\n5:00-6:00: HPC Café with Hauke Preuß (HSU/UniBw H) as an expert for HSUper Administration\, Slurm & Job Management \n\n\n\nWhat is the HPC Café?At the HPC Café\, we offer you practical support in aspects of High Performance Computing and related fields – using a peer-to-peer approach. This means you can bring your specific questions\, whether they’re about software\, code optimization\, or parallelization as well as specific questions regarding ANSYS\, GNU\, User Spack – you name it. We will help you directly or connect you with other researchers facing similar challenges. \n\n\n\nOur offer is open to all user groups – whether you’re a beginner or an advanced user. Even if you are reading about HPC for the first time and you are interested in more information\, the HPC Café is just the right space for you to connect with people working in this field.  \n\n\n\nStop by\, bring your challenges\, and let’s find solutions together!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-8/
LOCATION:H1\, room 202\, Holstenhofweg 85\, Hamburg\, 22043\, Germany
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20260128T160000
DTEND;TZID=Europe/Berlin:20260128T180000
DTSTAMP:20251215T100345Z
CREATED:20251215T100345Z
LAST-MODIFIED:20251215T100345Z
UID:1792-1769616000-1769623200@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:Save the Date!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-7/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20251217T160000
DTEND;TZID=Europe/Berlin:20251217T180000
DTSTAMP:20251210T085754Z
CREATED:20251020T120154Z
LAST-MODIFIED:20251210T085754Z
UID:1770-1765987200-1765994400@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:16:00-17:00: Scientific Talk by Laura Linder (HSU/UniBw H) \n\n\n\nFEM Simulation of TPMS Gyroid under multiaxial-loading: a comparison of solids and different shell elements \n\n\n\nDue to a range of factors\, including climate change\, raw material shortages\, increasing demand for comfort\, and cost considerations\, lightweight construction has become a key focus in industries such as automotive\, aviation\, and defence. \n\n\n\nTriply Periodic Minimal Surface (TPMS) structures\, like the Gyroid\, are a type of sheet-based metamaterial distinguished by the interaction between their geometric design and the intrinsic properties of the material they are made of. Their mathematically defined topology\, along with favourable mechanical performance and thermal conductivity\, has attracted growing interest in recent research [1]. Sheet-based metamaterials provide superior mechanical properties compared to strut-based metamaterials\, making them particularly valuable for lightweight construction and impact-resistant applications [2]. However\, not all applications can be adequately assessed through experiments alone due to constraints like time\, cost\, material availability and feasibility. In these cases\, simulations become a critical tool for evaluating performance. Simulations offer the advantage of providing detailed insights into the behaviour of materials and structures under various loading conditions without the need for costly and time-consuming experiments. However\, the accuracy and reliability of these simulations are highly dependent on many factors among them: the material parameters used and the choice of element types. \n\n\n\nElement types play a crucial role in FEM simulations. In the context of TPMS structures\, simulations may require the use of both shell elements and solid elements depending on the specific requirements of the model. Shell elements are often used to represent thin-walled structures\, such as the surfaces of the TPMS Gyroid\, and are beneficial in capturing bending and stretching behaviours with fewer degrees of freedom. These elements are computationally efficient\, especially when modelling large-scale structures. In contrast\, solid elements are used to model the volumetric behaviour of materials and are typically employed when a more accurate representation of internal stress distributions\, strain\, and failure modes is necessary. Solid elements provide more a higher level of detail\, especially in areas where load concentrations or complex geometries are present. \n\n\n\nTo ensure the accuracy of the simulations\, it is essential to compare the results obtained from both types of elements with experimental data. This comparison helps to validate the simulation models and refine the boundary conditions\, ensuring that the predictions made by the FEM simulations are as close to real-world behaviour as possible and helps for a better understanding of the performance of TPMS Gyroid structures. The use of both shell and solid elements within FEM allows for a comprehensive analysis\, leveraging the benefits of each element type to capture both the global behaviour and localized details of TPMS structures. \n\n\n\n[1] Surjadi\, J.U.\, Gao\, L.\, Du\, H.\, Li\, X.\, Xiong\, X.\, Fang\, N.X. and Lu\, Y. (2019) Adv. Eng. Mater.\, 21: 1800864 \n\n\n\n[2] N. Novak\, O. Al-Ketan\, L. Krstulović-Opara\, R. Rowshan\, R. K. Abu Al-Rub\, M.Vesenjak\, Z. Ren. \n\n\n\n\n\n\n\n17:00-18:00: HPC Café with Vahid Jafari (HSU/UniBw H) \n\n\n\nWhat is the HPC Café?At the HPC Café\, we offer you practical support in aspects of High Performance Computing and related fields – using a peer-to-peer approach. This means you can bring your specific questions\, whether they’re about software\, code optimization\, or parallelization as well as specific questions regarding ANSYS\, GNU\, User Spack – you name it. We will help you directly or connect you with other researchers facing similar challenges. \n\n\n\nOur offer is open to all user groups – whether you’re a beginner or an advanced user. Even if you are reading about HPC for the first time and you are interested in more information\, the HPC Café is just the right space for you to connect with people working in this field.  \n\n\n\nStop by\, bring your cup of coffee and your challenges\, and let’s find solutions together!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-5/
LOCATION:H1\, room 308\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20251126T160000
DTEND;TZID=Europe/Berlin:20251126T180000
DTSTAMP:20251020T120218Z
CREATED:20251020T120203Z
LAST-MODIFIED:20251020T120218Z
UID:1769-1764172800-1764180000@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:16:00-17:00: Scientific Talk by Kevin Lüdemann (GDWG Göttingen) \n\n\n\nThe HPC Skill Tree\, design\, current content\, and how to work with it \n\n\n\n17:00-18:00: HPC Café with Jose Escobar (HSU/UniBw H)
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-6/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20251029T160000
DTEND;TZID=Europe/Berlin:20251029T180000
DTSTAMP:20251020T120410Z
CREATED:20251020T113932Z
LAST-MODIFIED:20251020T120410Z
UID:1765-1761753600-1761760800@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:16:00-17:00: Scientific Talk by Philipp Marienhagen (HSU/UniBw H) \n\n\n\nThermodynamic properties of quantum fluids: Path integral Monte Carlo simulations of helium and neon using ab initio potentials \n\n\n\nThe accurate theoretical prediction of thermodynamic properties of atoms and molecules with small mass such as helium and neon requires the consideration of quantum effects of the nuclei. Path integral simulations\, based on Feynman’s formulation of quantum mechanics\, provide a method to treat nuclei quantum-mechanically within a classical simulation without uncontrolled approximations. We have recently derived equations for all relevant thermodynamic properties for the path integral framework. With the derived expressions\, thermodynamic properties such as the speed of sound or Joule-Thomson coefficient can now be calculated fully incorporating quantum effects without uncontrolled approximations. \n\n\n\nSimulations are performed for neon and helium using highly accurate ab initio potentials accounting for both pairwise and non-additive three-body interactions. We validate our method for both fluids on the supercritical 80 K isotherms and observe an excellent agreement with recent\, precise experimental speed-of-sound data as well as the reference equations of state confirming our approach. With the developed framework it is possible to predict thermodynamic properties in regions of the phase diagram with only limited or less accurate experimental data such as in the liquid phase of neon\, for which we perform extensive simulations. \n\n\n\n17:00-18:00: HPC Café with Ruben Horn (HSU/UniBw H)What is the HPC Café?At the HPC Café\, we offer you practical support in aspects of High Performance Computing and related fields – using a peer-to-peer approach. This means you can bring your specific questions\, whether they’re about software\, code optimization\, or parallelization as well as specific questions regarding ANSYS\, GNU\, User Spack – you name it. We will help you directly or connect you with other researchers facing similar challenges. \n\n\n\nOur offer is open to all user groups – whether you’re a beginner or an advanced user. Even if you are reading about HPC for the first time and you are interested in more information\, the HPC Café is just the right space for you to connect with people working in this field.  \n\n\n\nStop by\, bring your cup of coffee and your challenges\, and let’s find solutions together!
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-4/
LOCATION:H1\, room 308\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250625T160000
DTEND;TZID=Europe/Berlin:20250625T180000
DTSTAMP:20250623T141900Z
CREATED:20250422T082401Z
LAST-MODIFIED:20250623T141900Z
UID:1692-1750867200-1750874400@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:16:00-17:00: Scientific Talk by Guillaume De Nayer (HSU/UniBw H): Impact of Extreme Weather on Civil Engineering Structures: High-Fidelity Fluid-Structure Interaction Simulations \n\n\n\nDue to climate change\, extreme weather events – such as strong wind gusts – are becoming increasingly significant in the design of modern civil engineering structures. Lightweight and thin-walled structures are especially vulnerable to wind-induced loads and can be severely damaged or even destroyed. Therefore\, it is essential to develop and evaluate numerical simulation methods suited for such fluid-structure interaction (FSI) problems.An FSI problem typically consists of three components: the fluid domain\, the structural domain\, and the coupling between them. For structures exposed to outdoor conditions\, the surrounding airflow ishighly turbulent and must be modeled with sufficient accuracy. To address this\, the large-eddy simulation (LES) technique is employed. Furthermore\, novel methods for generating wind gusts within numerical simulations were developed and rigorously tested.On the structural side\, a collaboration with experts from the Technical University of Munich (TUM) enabled the use of a specialized solver for highly deformable membrane-like structures. The coupling between fluid and structure is implemented in a fully two-way manner. The approach was applied to two classical structural designs. Detailed analyses were conducted on the resulting flow phenomena\, structural deformations\, and the induced internal stresses. \n\n\n\n17:00-18:00: HPC Café with Hauke Preuß (HSU/UniBw H): Expert for Slurm / CBRZ Administration
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-3/
LOCATION:H1\, room 109\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250521T160000
DTEND;TZID=Europe/Berlin:20250521T180000
DTSTAMP:20250507T055918Z
CREATED:20250422T082126Z
LAST-MODIFIED:20250507T055918Z
UID:1690-1747843200-1747850400@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:16:00-17:00 Scientific Talk by Ruben Horn (HSU/UniBw H) GreenHPC: An overview and practical guideDemand for HPC is growing across scientific fields\, leading to growing energy demand. To minimize ecological impact of their work\, and since it is not unlikely that future systems will implement billing based on energy consumption\, users should be aware of and aiming to improve the energy efficiency.In this talk\, we give a general introduction to GreenHPC and GreenIT more broadly and present steps users can take on HSUper and other clusters to improve energy efficiency. Furthermore\, we include some concrete examples from previous and outlook towards future work on making HPC more sustainable. \n\n\n\n\n\n\n\n17:00-18:00 HPC Café with Sebastian Eilermann (HSU/UniBw H) Peer Guidance & User Collaboration\, Focus: AI/ML on HSUper and ISCC
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data-2/
LOCATION:H1\, room 108\, Holstenhofweg 85\, Hamburg\, 22043\, Germany
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20250424T160000
DTEND;TZID=Europe/Berlin:20250424T180000
DTSTAMP:20250422T081608Z
CREATED:20250422T081547Z
LAST-MODIFIED:20250422T081608Z
UID:1687-1745510400-1745517600@www.hsu-hh.de
SUMMARY:Seminar Series & HPC Café: Computation & Data
DESCRIPTION:Scientific Talk (4:00 PM to 5:00 PM): Julio Gutiérrez (HSU) \n\n\n\nStudy of nozzle influence on aerosol deposition (AD) by using 3D CFD simulationsIn aerosol deposition\, fine ceramic powders in sizes of less than typically 5 μm are deposited as a coating at room temperature. Aerosol deposition must be performed under a vacuum to apply such fine powders and avoid bow shock effects. According to experimental results\, coating formation by aerosol deposition only occurs if particle velocities exceed a material-specific threshold velocity. Thus\, knowledge of attained particle velocities over acceleration in the nozzle and under the expansion into a vacuum is essential for deriving conditions for successful deposition. In the present study\, 3D-CFD simulations were used to investigate the key geometrical variables in powder acceleration. Three different nozzle geometries were investigated: a convergent nozzle\, a convergent-divergent nozzle\, and a convergent nozzle followed by a constant cross-section toward the exit. In addition\, these three nozzle geometries were optimized to maximize the particle impact velocity. The results show that the convergent-divergent nozzle supplies the highest particle velocities within this comparison. The particle velocities attained by the other nozzles are substantially lower but could be improved by geometry. \n\n\n\nHPC Café (5:00 PM to 6:00 PM): Piet Jarmatz (HSU)\n\n\n\nImmediately after the talk\, the HPC Café will take place. \n\n\n\nWhat is the HPC Café? The goal of this new format is peer-to-peer learning within the community. At each session\, an expert from the discipline will be present and available to answer questions. All target groups are warmly invited – both those with prior knowledge in the field of HPC or related disciplines and those who are just starting out.This collaborative exchange aims to discuss direct questions and application issues in the field of HPC and related disciplines\, and to jointly search for solutions. Feel free to bring your questions and concerns as well as a laptop and a cup of coffee with you. \n\n\n\nThis time\, the expert Piet Jarmatz (Head of HPC Lab) from the Chair of High Performance Computing will be available to answer your questions and discuss with you in a peer-to-peer format.
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-hpc-cafe-computation-data/
LOCATION:H1\, room 109\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241030T160000
DTEND;TZID=Europe/Berlin:20241030T180000
DTSTAMP:20241016T125118Z
CREATED:20241016T125024Z
LAST-MODIFIED:20241016T125118Z
UID:1542-1730304000-1730311200@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Katharina Goldberg (HSU) – Legal Introduction to the AI ActThe AI Act (Regulation (EU) 2024/1689) was adopted by the European Parliament and the Council on 13 June 2024. This regulation was preceded by many years of preparation\, discussions and lobbying by various interest groups. The result is a 144-page regulation that does not convince all legal experts and is currently the subject of much debate in specialist circles.This presentation will provide an overview of the basic regulatory structure of the AI Act\, its (future) areas of application\, the legal consequences of categorising AI systems into the various risk groups and the new players for AI governance created by the AI Act.The term “AI system” will be discussed first. The regulation has created a new definition here\, which will be used in all EU member states in the future to define technical systems. In addition\, the AI Regulation refers to the European standardization organizations CEN\, CENELEC and ETSI\, which will be responsible for formulating technical standards for the use of AI in the future. From a legal perspective\, this is problematic because it means that important (definitional) decisions are taken away from the democratic legislator and entrusted to expert bodies.For the regulation of the different types of AI\, the regulation distinguishes between AI applications with an unacceptable risk\, which are generally prohibited\, and those of different risk categories\, which are generally permitted. The prohibited category includes AI applications that manipulate human behaviour\, use real-time remote biometric identification in public places and are used for social scoring. AI applications are on the other hand permitted in different graded risk categories: High-risk applications\, General-purpose AI\, Limited Risk AI and Minimal Risk AI. The use of AI in these risk groups is subject to graduated requirements (risk-based approach). The presentation will present these distinctions and outline their legal consequences.A new governance structure for AI in the EU will also be created. Future actors are the AI Office\, the European Artificial Intelligence Board\, the Advisory Forum and the Scientific Panel of Independent Experts. The member states must also appoint competent national authorities. The presentation will also address the tasks of these actors. \n\n\n\n\n\n\n\nFelix Gehlhoff – Working on the Edge: Harnessing AI at the Frontier of Professional InnovationsThis presentation delves into the expanding role of AI across various professional and creative domains. The discussion will cover the broad capabilities and potential risks of integrating AI into modern practices. Key points will include the “jagged frontier” of AI’s capabilities\, advocating for a proactive exploration of AI applications to fully leverage its potential while being mindful of its limitations. The analogy of treating AI like a person will be highlighted\, emphasizing AI’s proficiency in language-based tasks and its implications for educational contexts. This perspective invites us to reconsider how AI can facilitate active and engaging learning opportunities.
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data/
LOCATION:H1\, room 110\, Holstenhofweg 85\, Hamburg\, HH\, 22043\, Germany
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240424T160000
DTEND;TZID=Europe/Berlin:20240424T180000
DTSTAMP:20240421T135704Z
CREATED:20240421T135703Z
LAST-MODIFIED:20240421T135704Z
UID:1469-1713974400-1713981600@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 24.04.2024\, 16:00-18:00
DESCRIPTION:Location:on-site: complex room 1006digital: MS Teams (link shared via e-mail) \n\n\n\nFabian Dethof: Simulating “semi-guided” elastic wave propagation in concrete – understanding Impact Echo dataThe usage of low-frequency signals and easy data acquisition make Impact Echo a widely applied NDT method in the field of civil engineering ever since its introduction in the 80’s. However\, the physical principle of the method was not fully understood until 2005. Numerical simulations are used to better understand acquired datasets and improve data evaluation by introducing new evaluation procedures and using existing machine learning methods. \n\n\n\nLizzie Neumann: Confounder-adjusted Covariances of System Outputs and Applications to Structural Health MonitoringAutomated damage detection is integral to structural health monitoring (SHM) systems. However\, changes in the data result not only from damage but also from environmental or operational influences. Consequently\, it is necessary to determine the confounding factors and remove their effects from the measurements or extracted features. Methods used so far\, however\, neglect potential changes in higher-order statistical moments\, although the output covariances are essential for generating reliable diagnostics for damage detection. We propose an approach that explicitly quantifies changes in the covariance using conditional covariance matrices\, and we apply the method toreal-world bridge data. Our results show that temperature changes affect the covariances of sensor measurements and natural frequencies. By combining our new approach with standard methodsfor damage detection\, we can generate more reliable diagnostic values and fewer false alarms. 
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-24-04-2024-1600-1800/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240327T160000
DTEND;TZID=Europe/Berlin:20240327T180000
DTSTAMP:20240311T140350Z
CREATED:20240311T140349Z
LAST-MODIFIED:20240311T140350Z
UID:1395-1711555200-1711562400@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 27.03.2024\, 16:00-18:00
DESCRIPTION:Locationon-site: Mensa Room 0001digital: MS Teams (link shared via e-mail) \n\n\n\nSebastian Brandstäter (UniBw M): Sensitivity Analysis for Biomechanical Models \n\n\n\nRuben Horn (HSU): Energy Efficiency of Molecular(-Continuum) Simulations
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-27-03-2024-1600-1800/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240228T160000
DTEND;TZID=Europe/Berlin:20240228T180000
DTSTAMP:20240214T151548Z
CREATED:20240205T094810Z
LAST-MODIFIED:20240214T151548Z
UID:1382-1709136000-1709143200@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 28.02.2024\, 16:00-18:00
DESCRIPTION:Location: Mensa-Room 0001; digital participation (link shared via e-mail) \n\n\n\nAli Khalifa: Neural Network-Based Multiscale Modeling of Deagglomeration due to Wall Impact and CollisionsPredicting the evolution of micron-sized particle system  in fluid flows is crucial for natural processes and industrial applications like pharmaceuticals. Fully-resolved simulations are costly due to scale variations. Hence\, data-driven approaches offer an attractive alternative. This study enhances an Euler-Lagrange method with neural-network models for deagglomeration from collisions and wall impacts\, integrated into LES-based simulations. Tested in various turbulent flows\, such as funnel-duct dispersers and bend pipes\, this approach provides cost-effective predictions. \n\n\n\nDenis Kramer: Designing Functional Materials: Dream\, Predict\, Synthesise\, Characterise\, Repeat
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-28-02-2024-1600-1800/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240131T040000
DTEND;TZID=Europe/Berlin:20240131T060000
DTSTAMP:20240117T121613Z
CREATED:20240117T121518Z
LAST-MODIFIED:20240117T121613Z
UID:1345-1706673600-1706680800@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 31.01.2024\, 16:00-18:00
DESCRIPTION:Location: Mensa-Room 0001; digital participation (link shared via e-mail) \n\n\n\nVolker Gravemeier: A Multiphysics Computational Method for Coupled Simulations of Tribological Systems \n\n\n\nA novel multiphysics computational method for thermal elastohydrodynamic lubrication and results obtained from applying it to tribological systems will be presented. It enables detailed insights beyond the ones having been achievable to date. For such systems\, it is typically both mandatory and challenging to consider all nonlinear effects of the physical fields as well as their mutual interactions. Only this way\, it is ensured that one obtains reliable predictive simulation results eventually. \n\n\n\nJan L. Augustin: SmartShip: AI-Driven Maritime Rescue – Enhanced Readiness and Detection in Search Operations \n\n\n\nThe SmartShip project merges AI capabilities in two critical areas for maritime rescue. First\, it employs an advanced multimodal camera system\, utilizing deep learning for precise detection of boats and individuals in distress. Second\, it integrates anomaly detection models analyzing sensor time-series data to ensure the constant readiness of rescue cruisers. This dual approach supports rapid deployment and efficient rescue operations\, epitomizing the synergy of AI and maritime safety.
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-31-01-2024-1600-1800/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231213T160000
DTEND;TZID=Europe/Berlin:20231213T180000
DTSTAMP:20231212T141804Z
CREATED:20231009T174607Z
LAST-MODIFIED:20231212T141804Z
UID:1213-1702483200-1702490400@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 13.12.2023\, 16:00-18:00
DESCRIPTION:Valentina Pessina (UniBw M): Modeling Rarefied and Continuous High Angle-of-Attack Hypersonic. Reentry into Martian Atmosphere with Open-Source Software \n\n\n\nMaximilian Maigler (UniBw M): Coupled PIC-DSMC and Molecular Dynamics Modeling of Radio-Frequency. Gridded Ion Thruster Erosion \n\n\n\n \n\n\n\nJoining the event online will be possible via MS Teams: https://teams.microsoft.com/l/meetup-join/19:Vp54PUGbuDskc_Y5YooVbR5uKIY-BPuzvyxZtSeGg5Q1@thread.tacv2/1668524366704?context=%7B%22Tid%22:%225832f73f-b0fa-45a0-80d9-7e32bd7fa822%22\,%22Oid%22:%226003e630-5d1e-4ccb-a8ab-e5d81b1bf8b1%22%7D
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-13-12-2023-1600-1800/
LOCATION:Container Building C2/S2 (near  Grandplatz)\, room 113-115\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231129T160000
DTEND;TZID=Europe/Berlin:20231129T180000
DTSTAMP:20231024T122808Z
CREATED:20231009T180306Z
LAST-MODIFIED:20231024T122808Z
UID:1218-1701273600-1701280800@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 29.11.2023\, 16:00-18:00
DESCRIPTION:Therese Rosemann & Yannis Schumann (HSU): Digital  Competences and Digital Learning Behavior in Higher Education – Generation of individualized Feedback in a Longitudinal Study (DigiTaKS* and hpc.bw) \n\n\n\nSergej Grednev (HSU): Prediction of Structure-Property Relationships in Cellular Materials
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-29-11-2023-1600-1800/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231025T160000
DTEND;TZID=Europe/Berlin:20231025T180000
DTSTAMP:20231025T143054Z
CREATED:20231009T180448Z
LAST-MODIFIED:20231025T143054Z
UID:1220-1698249600-1698256800@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data on Wed\, 25.10.2023\, 16:00-18:00
DESCRIPTION:Link to eventLink for online participation
URL:https://www.hsu-hh.de/hpccp/event/seminar-series-computation-data-on-wed-25-10-2023-1600-1800/
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230525T160000
DTEND;TZID=Europe/Berlin:20230525T180000
DTSTAMP:20230515T143415Z
CREATED:20230515T143415Z
LAST-MODIFIED:20230515T143415Z
UID:1024-1685030400-1685037600@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Gerhard Wellein: Application Knowledge Required: Performance Modeling for Fund and Profit \n\n\n\nGerhard Wellein is a Professor for High Performance Computing at the Department for Computer Science of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and holds a PhD in theoretical physics from the University of Bayreuth. He is a member of the board of directors of the German NHR-Alliance which coordinates the national HPC Tier-2 infrastructures at German universities. As a member of the scientific steering committees of the Leibniz Supercomputing Centre (LRZ) and the Gauss-Centre for Supercomputing (GCS) he is organizing and surveying the compute time application process for national HPC resources. Gerhard Wellein has more than twenty years of experience in teaching HPC techniques to students and scientists from computational science and engineering\, is an external trainer in the Partnership for Advanced Computing in Europe (PRACE) and received the “2011 Informatics Europe Curriculum Best Practices Award” (together with Jan Treibig and Georg Hager) for outstanding teaching contributions. His research interests focus on performance modelling and performance engineering\, architecture-specific code optimization\, novel parallelization approaches and hardware-efficient building blocks for sparse linear algebra and stencil solvers. \n\n\n\nAxel Klawonn: What can machine learning be used for in domain decomposition methods? \n\n\n\nProf. Dr. Axel Klawonn heads the research group on numerical mathematics and scientific computing at the Universität zu Köln. The group works on the development of efficient numerical methods for the simulation of problems from computational science and engineering. This comprises the development of efficient algorithms\, their theoretical analysis\, and the implementation on large parallel computers with up to several hundreds of thousands of cores. A special focus in the applications is currently on problems from biomechanics/medicine\, structural mechanics\, and material science. The research is in the field of numerical methods for partial differential equations and high performance parallel scientific computing\, including machine learning.
URL:https://www.hsu-hh.de/hpccp/event/cd2305/
LOCATION:Container Building C2/S2 (near  Grandplatz)\, room 113-115\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230427T150000
DTEND;TZID=Europe/Berlin:20230427T163000
DTSTAMP:20230427T103730Z
CREATED:20230417T072244Z
LAST-MODIFIED:20230427T103730Z
UID:1010-1682607600-1682613000@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Philipp Marienhagen: Calculation of equation-of-state data in many-particle systems consisting of hard-anisotropic particles \n\n\n\nYannis Schumann: Distinguishing Molecular Tumor Subgroups Using Deep Learning
URL:https://www.hsu-hh.de/hpccp/event/cp2304/
LOCATION:Container Building C2/S2 (near  Grandplatz)\, room 113-115\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230330T143000
DTEND;TZID=Europe/Berlin:20230330T160000
DTSTAMP:20230330T123433Z
CREATED:20230119T093907Z
LAST-MODIFIED:20230330T123433Z
UID:522-1680186600-1680192000@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Frederike Vogel (HSU/Statistics and Data Science): Supervised learning for analyzing movement patterns in a virtual reality experiment \n\n\n\nMarcel Eckert (HSU/Computer Engineering): How FPGAs can speed up algorithms by 2 examples
URL:https://www.hsu-hh.de/hpccp/event/cd2303/
LOCATION:H1\, room 308\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230223T143000
DTEND;TZID=Europe/Berlin:20230223T160000
DTSTAMP:20230215T192315Z
CREATED:20230119T093632Z
LAST-MODIFIED:20230215T192315Z
UID:517-1677162600-1677168000@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Nils Margenberg (HSU/Numerical Mathematics): Hybrid Finite Element/Deep Neural Networks Methods for Accelerating Fluid-Dynamics SimulationsLouis Viot (HSU/High Performance Computing): New developments within the Macro/Micro Coupling software MaMiCo for highly parallelized multiscale flow simulation
URL:https://www.hsu-hh.de/hpccp/event/cd2302/
LOCATION:H1\, room 308\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230126T143000
DTEND;TZID=Europe/Berlin:20230126T160000
DTSTAMP:20230215T192432Z
CREATED:20230119T094108Z
LAST-MODIFIED:20230215T192432Z
UID:525-1674743400-1674748800@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Chaitanya Kandekar (HSU/Structural Analysis): A Thermo-hydro-mechanical modelling for concrete under fire loads \n\n\n\nMaria Krantz (HSU/Computer Science in Mechanical Engineering): Generating Data for the Training of Machine Learning Algorithms for CPPS \n\n\n\n\n\n\n\nThe link for online participation is shared via the seminar newsletter.
URL:https://www.hsu-hh.de/hpccp/event/cd2301/
LOCATION:H1\, room 308\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221215T143000
DTEND;TZID=Europe/Berlin:20221215T160000
DTSTAMP:20230203T092346Z
CREATED:20221115T094853Z
LAST-MODIFIED:20230203T092346Z
UID:149-1671114600-1671120000@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Bernd Flemisch (Universität Stuttgart): The open-source simulator DuMux – experiences and practices from 15 years of development \n\n\n\nDuMux is a free and open-source simulator for flow and transport processes in and around porous media written in C++. Its main intention is to provide a sustainable and consistent framework for the implementation and application of porous media model concepts and constitutive relations.To this day\, 25 versions of DuMux have been released with contributions by over 70 people\, mainly located at but not restricted to the Department of Hydromechanics and Modelling of Hydrosystems at the University of Stuttgart. In this talk\, we want to give an overview of the organizational aspects of DuMux: the development and maintenance process\, software quality assurance\, documentation\, tutorials and the integration of new developers. \n\n\n\n\n\n\n\nPowei Huang (Eidgenössische Technische Hochschule Zürich): Reactive transport modeling in aqueous environments using the Nernst-Planck formulation \n\n\n\nIn this seminar\, we discuss the validity of applying the Nernst-Planck (NP) equation to model the transport of ionic species. We compare the simulation results of the NP model to the commonly used single-diffusivity model and benchmark the NP model with reaction-driven flow experiments. Our results show that the NP model is relevant for modeling reactive transport processes with an intricate interplay between diffusion\, reaction\, electromigration\, and density-driven convection.
URL:https://www.hsu-hh.de/hpccp/event/cd2212/
LOCATION:H1\, room 205\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221124T143000
DTEND;TZID=Europe/Berlin:20221124T160000
DTSTAMP:20230203T092353Z
CREATED:20230119T090442Z
LAST-MODIFIED:20230203T092353Z
UID:493-1669300200-1669305600@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Christian Brandlhuber (21 strategies GmbH): Battlefield superiority by enhanced tactics. AI for tactical decision sequences and emergence \n\n\n\nArtificial intelligence is already playing an increasingly important role in the timely evaluation of sensor data and is thus making a significant contribution to improving situational awareness. Future systems\, however\, will go far beyond the ability of pure evaluation and will be able to independently develop tactical behaviour in order to always be one step ahead of the opponent through the intelligent use of their own resources. The lecture presents the possibilities of tactical AI systems that develop emergent behaviour (also called context-aware/consequence-sensitive 3rd wave AI by DARPA) in the areas of Markov decision processes and multi-agent learning based on current results from the dtec.bw project Ghostplay. \n\n\n\n\n\n\n\nAlexander Popp (UniBW M): Scalable computational kernels and linear solvers for FEM-based computational contact mechanics \n\n\n\nTargeting simulations on parallel hardware architectures\, this seminar talk presents scalable computational kernels and linear solvers for mortar finite element methods in computational contact mechanics. Mortar methods enable a variationally consistent imposition of coupling conditions at high accuracy but come with considerable numerical effort and cost. We identify bottlenecks in parallel data layout and domain decomposition that hinder an efficient evaluation and solution and propose a set of computational strategies to restore optimal parallel communication and scalability.
URL:https://www.hsu-hh.de/hpccp/event/cd2211/
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221109T110000
DTEND;TZID=Europe/Berlin:20221109T120000
DTSTAMP:20230203T092356Z
CREATED:20230119T085009Z
LAST-MODIFIED:20230203T092356Z
UID:483-1667991600-1667995200@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Matthias Mayr (UniBw M): Sustainable development of multi-level block preconditioners in Trilinos/MueLu \n\n\n\nIn this talk\, we will summarize our developments of scalable multi-level block-preconditioning methods in the framework of Trilinos/MueLu for the efficient solution of multi-physics phenomena. The simulation of such phenomena plays an important role in various disciplines. To efficiently solve the arising linear systems of equations\, the preconditioners can be tailored to coupled problems\, ranging from volume\, mixed-dimensional to interface coupled scenarios.
URL:https://www.hsu-hh.de/hpccp/event/cd2211s/
LOCATION:Aula\, room 2\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221027T143000
DTEND;TZID=Europe/Berlin:20221027T160000
DTSTAMP:20230203T092400Z
CREATED:20230119T083739Z
LAST-MODIFIED:20230203T092400Z
UID:450-1666881000-1666886400@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Andreas Fink (HSU): HPC for Solving Combinatorial Optimization Problems in Logistics: Challenges and Examples \n\n\n\nWhile HPC is established in engineering and science\, this is not yet the case for solving NP-hard combinatorial optimization problems in business administration (e.g. in logistics). Existing optimization methods for such problems often have a sequential flow logic and thus must be adapted. We will discuss if and how mixed-integer mathematical optimization methods and solvers are already able to exploit parallel computing power and we will consider the parallelization of (meta-)heuristic methods. \n\n\n\n\n\n\n\nBenedikt Hein (HSU): Distributed Deep Reinforcement Learning: How a hundred years of experience can be gathered in one day \n\n\n\nOver the past decade\, Deep Reinforcement Learning has received considerable attention in Artificial Intelligence research. Successful training in Deep Reinforcement Learning generally requires millions of interactions with a simulated environment. The massive parallelization of simulated training environments recently enabled the training of an outstanding game AI for the computer game DOTA. This talk presents the techniques\, principles and goals of this kind of parallelization.
URL:https://www.hsu-hh.de/hpccp/event/cd2210/
LOCATION:H1\, room 205\, Holstenhofweg 85\, Hamburg\, 22043
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220630T150000
DTEND;TZID=Europe/Berlin:20220630T160000
DTSTAMP:20230203T092409Z
CREATED:20230119T082851Z
LAST-MODIFIED:20230203T092409Z
UID:475-1656601200-1656604800@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Speakers: Thomas Döbbert and Martin Holters \n\n\n\nTitle: Digital sensor-2-cloud campus platform \n\n\n\nAbstract: Wireless networks support highly flexible manufacturing processes towards the digitization of industrial production (automation). 5G is currently being marketed as universal solution for future wireless communication. However\, also other wireless technologies are beneficial and are offering energy efficient and cost-effective solutions\, even with battery-powered smart sensor devices. In this project\, features of 5G are also combined with IO-Link Wireless (IOLW) with respect to robustness and latency to realize highly demanding safety applications in industrial environments.
URL:https://www.hsu-hh.de/hpccp/event/cd2206/
LOCATION:H1\, Hörsaal 3\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220602T150000
DTEND;TZID=Europe/Berlin:20220602T160000
DTSTAMP:20230203T092412Z
CREATED:20230119T080741Z
LAST-MODIFIED:20230203T092412Z
UID:470-1654182000-1654185600@www.hsu-hh.de
SUMMARY:Seminar Series: Computation & Data
DESCRIPTION:Speaker: Derek Groen from Brunel University London. Derek is a lecturer in simulation and modeling\, and his research is interdisciplinary\, focusing primarily on multiscale modelling and high-performance computing for various applications. \n\n\n\nTitle: Multiscale Migration Modelling using Supercomputers: enabling agent-based modelling forecasts in a world of messy\, inaccessible\, biased and incomplete data \n\n\n\nAbstract: In this talk I will present the multiscale migration modelling approach that we have developed in my group during the EU-funded HiDALGO CoE project (hidalgo-project.eu). The approach aims to forecast where persons displaced abroad by conflict may arrive. This information is useful to NGOs and other humanitarian organizations as it can enable them to prepare refugee camps in advance\, and at the right level of capacity. We apply an agent-based modelling algorithm to construct the simulations\, and have coupled them to a range of other models and data sources (e.g. weather data\, food security data and conflict generators) to try and produce accurate forecasts. Our approach has been validated against data from ~8 different conflicts\, and it is being tested in a collaboration with the Save The Children NGO. Additionally\, it is currently one of the main simulation approaches used in the ITFLOWS project (itflows.eu). \n\n\n\nAs part of this talk\, I will also present some highlights on (a) executing our approach in parallel on large scale supercomputers\, (b) how we can use sensitivity analysis to guide our development directions\, (c) how we try to cope with the imperfect data that is rife in these contexts and (d) how we are currently working on many-objective optimisation algorithms to make automatic camp site selection possible.
URL:https://www.hsu-hh.de/hpccp/event/cd2205/
LOCATION:H1\, Hörsaal 3\, Holstenhofweg 85\, Hamburg\, 22043\, Deutschland
CATEGORIES:Seminar Computation & Data
ORGANIZER;CN="hpc.bw":MAILTO:info-hpc-bw@hsu-hh.de
END:VEVENT
END:VCALENDAR