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X-WR-CALDESC:Events for IT Center Events
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231102T130000
DTEND;TZID=Europe/Berlin:20231102T170000
DTSTAMP:20260723T025006
CREATED:20230928T130749Z
LAST-MODIFIED:20230928T133813Z
UID:6639-1698930000-1698944400@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation[:]
DESCRIPTION:Name: CFD Training Series: Introduction to Turbulence Modeling and Numerical Implementation \nDate: November 02\, 2023 \n \nTime: 1.00 pm – 5.00 pm \nFormat: online \nMore Information \n  \n\n  \nDescription\nShort abstract: \n\n\nIn this course\, the introduction to the structural properties of various turbulence modeling concepts (RANS\, LES\, and Hybrid RANS/LES) including associated equations will be given. In addition to the presentation\, the corresponding computational setup including pre-processing\, simulation implementation\, and post-processing for some illustrative flow configurations will be provided based on the open-source CFD software OpenFOAM. \n\n\n  \nClick here to register
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-turbulence-modeling-and-numerical-implementation/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231102T140000
DTEND;TZID=Europe/Berlin:20231102T150000
DTSTAMP:20260723T025006
CREATED:20230317T143039Z
LAST-MODIFIED:20230317T145223Z
UID:6413-1698933600-1698937200@blog.rwth-aachen.de
SUMMARY:[:en]HPC Consultation Hour #25[:]
DESCRIPTION:We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here\, we give you the opportunity to ask any HPC related question\, e.g. about: \n\nCluster usage\nParallel Programming\nPerformance analysis and optimization of self-written codes\nWorkflow optimization (e.g. job management and data processing)\nEfficient usage of systems and software\nSoftware installation and usage\nApplication for compute time on larger systems (tier 2 and 1)\n\nWe will not prepare any slides since this a pure Q&A session. \nIn order to join the Zoom meeting\, you can use the following link: \nhttps://rwth.zoom.us/j/91453505636\nMeeting-ID: 914 5350 5636\nKenncode: 690220
URL:https://blog.rwth-aachen.de/itc-events/en/event/hpc-consultation-hour-25/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Consultation Hour,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2021/09/NewHPC_Consultation_Hour_2-3pm2-e1633003215902.jpg
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231106T100000
DTEND;TZID=Europe/Berlin:20231106T160000
DTSTAMP:20260723T025006
CREATED:20230928T131331Z
LAST-MODIFIED:20240405T120907Z
UID:6642-1699264800-1699286400@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: Parallelization in OpenFOAM for HPC Deployment[:]
DESCRIPTION:Name: Parallelization in OpenFOAM for HPC Deployment \nDate: November 06\, 2023 & November 16\, 2023\n \nTime: 10am – 4pm \nFormat: Online Flipped Classroom focusing on hands-on training \nMore Information \n  \n\n  \nDescription\nShort abstract: \n\n\nOpenFOAM is an open source\, mature and established C++ library for computational continuum mechanics (CCM) including Computational Fluid Dynamics (CFD). For leveraging its full potential\, it is crucial to efficiently use the high-performance computing (HPC) resources on modern distributed-memory parallel computer architectures. This must be based on a sound understanding of parallelization in OpenFOAM and HPC techniques available. \nThe training will be concerned with introducing the participants to the different concepts of parallelization\, along with code examples for illustration. Moreover\, we will provide hands-on exercises to further deepen and solidify the transferred knowledge. The participants will further gain an overview over the distinct techniques and dedicated tools involved to run a massively parallel computation using OpenFOAM\, as well as over ongoing HPC-related activities in research and development. \n\n\n  \nClick here to register
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-parallelization-in-openfoam-for-hpc-deployment/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231109T090000
DTEND;TZID=Europe/Berlin:20231110T130000
DTSTAMP:20260723T025006
CREATED:20230830T154026Z
LAST-MODIFIED:20240405T120918Z
UID:6626-1699520400-1699621200@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: Introduction to Machine Learning and Deep Learning[:]
DESCRIPTION:Name: Introduction to Machine Learning and Deep Learning \nDate: November 09\, 2023 & November 10\, 2023\n \nTime: 9 a.m to 1 p.m. \nFormat: Online \nMore Information \n  \n\n  \nDescription\nShort abstract:  \nNot only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a data-driven way\, but also the scientific community has many use-cases in which ML/DL are useful\, e.g. to discover hidden patterns or replace computationally heavy simulations with data-driven  approaches. The participants will learn how to design ML-models by themselves and will learn about possible pitfalls when applying ML in the real  world. \n  \nClick here to register\n 
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-introduction-to-machine-learning-and-deep-learning/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231109T130000
DTEND;TZID=Europe/Berlin:20231109T170000
DTSTAMP:20260723T025006
CREATED:20230928T131538Z
LAST-MODIFIED:20240405T120804Z
UID:6647-1699534800-1699549200@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: CFD Training Series: Introduction to Finite Element Methods for Flow Problems[:]
DESCRIPTION:Name: CFD Training Series: Introduction to Finite Element Methods for Flow Problems \nDate: November 09\, 2023 \n \nTime: 1.00 pm – 5.00 pm \nFormat: Online \nMore Information \n  \n\n  \nDescription\nShort abstract: \n\n\nIn this course\, we cover various techniques to solve fluid flow problems using the finite element method. The course consists of a combination of presentations and hands-on coding exercises in which the various techniques are discussed and implemented within a basic finite element solver using Matlab. \n\n\n  \nClick here to register
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-finite-element-methods-for-flow-problems/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231109T140000
DTEND;TZID=Europe/Berlin:20231110T180000
DTSTAMP:20260723T025006
CREATED:20230830T153110Z
LAST-MODIFIED:20240405T120923Z
UID:6619-1699538400-1699639200@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: Machine Learning in Combustion[:]
DESCRIPTION:Name: Machine Learning in Combustion \nDate: November 09 & 10\, 2023\n \nTime: 2 pm – 6 pm \nFormat: Online \nMore Information \n  \n\n  \nDescription\nShort abstract: \nBig data and Machine Learning (ML) are driving comprehensive economic and social transformations and are rapidly becoming a core technology for scientific computing\, with numerous opportunities to advance different research areas\, such as combustion modeling. The combination of combustion applications with ML has been already applied to several Computational Fluid Dynamics (CFD) configurations and is a promising research direction with the potential to enable the advancement of so far unsolved problems\, thanks to the ability of deep models to learn in a hierarchical manner with little to no need for prior knowledge. However\, this approach presents a paradigm shift to change the focus of CFD from time-consuming feature detection to in-depth examinations of relevant features\, enabling deeper insight into the physics involved in complex natural processes. \nThis training is designed to provide basic background on machine learning applications\, highlighting some of the areas of the highest potential impact. Emerging ML areas that are promising for combustion modeling\, such as reduced-order modeling advancements\, versatile neural network architectures developments\, as well as some potential limitations\, will be discussed. The workshop aims to gather different research groups\, providing a venue to exchange new ideas\, discuss challenges\, and expose this new research field to a broader community. \n  \nClick here to register\n 
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-machine-learning-in-combustion/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231115T130000
DTEND;TZID=Europe/Berlin:20231115T143000
DTSTAMP:20260723T025006
CREATED:20231113T115045Z
LAST-MODIFIED:20240405T123839Z
UID:6675-1700053200-1700058600@blog.rwth-aachen.de
SUMMARY:[:en]Introduction to the HPC JupyterHub at the RWTH[:]
DESCRIPTION:Abstract\nThe HPC JupyterHub service at the RWTH allows all eligible users of the RWTH Compute Cluster to utilize the existing compute hardware interactively with the use of Jupyter Notebooks. This HPC JupyterHub provides customization of Profiles with a variety of programming kernels\, software packages\, and hardware definitions. This workshop will showcase the HPC JupyterHub service. \nTarget Audience\nNew HPC JupyterHub users: HPC\, Simulation Software and Machine Learning users. \nRequirements\nHPC and VPN account at the RWTH for the interactive demo. \nRegistration\nRegistration
URL:https://blog.rwth-aachen.de/itc-events/en/event/introduction-to-the-hpc-jupyterhub-at-the-rwth/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231116T130000
DTEND;TZID=Europe/Berlin:20231116T170000
DTSTAMP:20260723T025006
CREATED:20230928T132028Z
LAST-MODIFIED:20240405T120758Z
UID:6650-1700139600-1700154000@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems[:]
DESCRIPTION:Name: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems \nDate: November 16\, 2023 \n \nTime: 1.00 pm – 5.00 pm \nFormat: Online \nMore Information \n  \n\n  \nDescription\nShort abstract: \n\n\nIn this course\, we cover the main building blocks to solve fluid flow problems using the Discontinuous Galerkin (DG) method. The course consists of a combination of presentations and hands-on exercises in which a simple DG flow solver is implemented and run on some test cases within our open-source code framework BoSSS. \n\n\n  \nClick here to register
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-discontinuous-galerkin-methods-for-flow-problems/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/08/NHR4CES_CMYK.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231116T140000
DTEND;TZID=Europe/Berlin:20231116T150000
DTSTAMP:20260723T025006
CREATED:20230317T143247Z
LAST-MODIFIED:20230317T145249Z
UID:6415-1700143200-1700146800@blog.rwth-aachen.de
SUMMARY:[:en]HPC Consultation Hour #26[:]
DESCRIPTION:We offer an open HPC consultation hour on a regular basis. This takes place every 3rd Thursday of the month. Here\, we give you the opportunity to ask any HPC related question\, e.g. about: \n\nCluster usage\nParallel Programming\nPerformance analysis and optimization of self-written codes\nWorkflow optimization (e.g. job management and data processing)\nEfficient usage of systems and software\nSoftware installation and usage\nApplication for compute time on larger systems (tier 2 and 1)\n\nWe will not prepare any slides since this a pure Q&A session. \nIn order to join the Zoom meeting\, you can use the following link: \nhttps://rwth.zoom.us/j/91453505636\nMeeting-ID: 914 5350 5636\nKenncode: 690220
URL:https://blog.rwth-aachen.de/itc-events/en/event/hpc-consultation-hour-26/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Consultation Hour,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2021/09/NewHPC_Consultation_Hour_2-3pm2-e1633003215902.jpg
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231121T130000
DTEND;TZID=Europe/Berlin:20231122T170000
DTSTAMP:20260723T025006
CREATED:20230928T132458Z
LAST-MODIFIED:20240405T120723Z
UID:6655-1700571600-1700672400@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: Data-Driven Healthcare: Leveraging Visualization and Data Management for Digital Patient Studies[:]
DESCRIPTION:Name: Data-Driven Healthcare: Leveraging Visualization and Data Management for Digital Patient Studies \nDate: November 21\, 2023 & November 22\, 2023 \n \nTime: 1.00 pm – 5.00 pm \nFormat: Online \nMore Information \n  \n\n  \nDescription\nShort abstract: \n\n\nIn today’s rapidly advancing medical landscape\, data has become an invaluable asset\, empowering healthcare professionals and researchers to make informed decisions\, derive insights\, and develop innovative solutions. However\, coping with the sheer volume and complexity of data while ensuring security and privacy aspects is a daunting task. To harness the full potential of this data-rich environment\, effective visualization techniques and robust data management strategies have emerged as indispensable tools. \n\n\nThis NHR4CES workshop seeks to shed light on how professionals and researchers can effectively leverage visualization and data management to tackle current and emerging challenges\, supporting medical experts in their daily work\, research\, and improving communication on and with patients. Researchers and users from different domains are invited to exchange and discuss ideas alongside a program filled with presentations by professionals of different fields as well as panel discussion. \n\n\n  \nClick here to register
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-data-driven-healthcare-leveraging-visualization-and-data-management-for-digital-patient-studies/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/08/NHR4CES_CMYK.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231123T130000
DTEND;TZID=Europe/Berlin:20231123T170000
DTSTAMP:20260723T025006
CREATED:20230928T132706Z
LAST-MODIFIED:20240405T120036Z
UID:6658-1700744400-1700758800@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES: CFD Training Series: Introduction to Kernel-based approximation methods with applications to fluid dynamics[:]
DESCRIPTION:Name: CFD Training Series: Introduction to Kernel-based approximation methods with applications to fluid dynamics \nDate: November 23\, 2023 \n \nTime: 1.00 pm – 5.00 pm \nFormat: hybrid \nMore Information \n  \n\n  \nDescription\nShort abstract: \n\n\nWhen data is provided in an unstructured format or is high-dimensional\, classical interpolation or approximation schemes as Finite-Element Methods (FEM) struggle to be accurate and efficient. An alternative is provided by kernel-based approaches in the Reproducing Kernel Hilbert space (RKHS) framework. Common applications range from support vector machines in context of machine learning to reconstruction of image data. In this course\, we will introduce the framework for kernel-based approximation schemes and discuss how one can implement them efficiently. At the end we will look at possible applications of kernel-based methods in context of fluid dynamics and particle methods. \n\n\nClick here to register online\nClick here to register on site
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-introduction-to-kernel-based-approximation-methods-with-applications-to-fluid-dynamics/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/08/NHR4CES_CMYK.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20231130T160000
DTEND;TZID=Europe/Berlin:20231130T170000
DTSTAMP:20260723T025006
CREATED:20230324T081013Z
LAST-MODIFIED:20230328T084415Z
UID:6450-1701360000-1701363600@blog.rwth-aachen.de
SUMMARY:[:en]Machine Learning Consultancy Hour #9[:]
DESCRIPTION:Machine Learning (ML) methods are being used frequently in research these days. However\, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the environment in which they can be deployed. \nTo support researchers from fields other than ML\, the CSG Data Science provides regular Consultancy Hours where researchers can pitch their specific ML-related problems to us. \nBased on the pitch our team will support the presenters afterwards in a consultative manner. \nIn order to join the Zoom meeting\, you can use the following link: \nhttps://tu-darmstadt.zoom.us/j/68557734988?pwd=aVc1S0hMczNwVC9mS3ZIajd0UDJ2Zz09
URL:https://blog.rwth-aachen.de/itc-events/en/event/machine-learning-consultancy-hour-9/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour,Wiederkehrend
END:VEVENT
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