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DTSTART;VALUE=DATE:20221002
DTEND;VALUE=DATE:20221008
DTSTAMP:20260415T155417
CREATED:20220919T093427Z
LAST-MODIFIED:20220919T095117Z
UID:6092-1664668800-1665187199@blog.rwth-aachen.de
SUMMARY:Training: Processing and Analyzing Micrographs with Artificial Intelligence
DESCRIPTION:Name: Training: Processing and Analyzing Micrographs with Artificial Intelligence\n \nEvent type: Workshop\n \nDate: October 2 to 7\, 2022\n \nFormat: Hybrid\n \nTarget Audience: HPC users\n \nContact Person: Setareh Medghalchi \n*More information* \n \n\n  \nDesciption  \nHigh performance materials like steels typically possess a heterogeneous microstructure. Owing to this fact\, their properties exceed those of the individual components but collection of image data requires observation and analysis of relatively large areas to capture the heterogeneity reliably. High resolution scanning electron microscopy serves as a tool to unravel many of the physical mechanisms of deformation from the sub-micron to the millimeter scale. On the other hand\, collection\, and analysis of high resolution image data from large areas requires laborious efforts and considerable amount of time\, which is why it is not yet performed routinely. \nHowever\, new image analysis-based tools in conjunction with the application of deep learning convolutional neural networks (CNN) allows us to handle these data collected from large areas. \nIn this workshop\, we will go through several image analysis techniques using python libraries step by step within jupyter notebooks. In this way\, we will introduce the participants to examples of statistical information about specific features of the real microstructures which can be obtained with these methods\, including microstructural information like phase fraction and also insights into deformation mechanisms from damage site detection and classification.
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-processing-and-analyzing-micrographs-with-artificial-intelligence/
LOCATION:Hybrid
CATEGORIES:Einmalig
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:20221018T090000
DTEND;TZID=Europe/Berlin:20221018T130000
DTSTAMP:20260415T155417
CREATED:20220919T095056Z
LAST-MODIFIED:20220919T120008Z
UID:6102-1666083600-1666098000@blog.rwth-aachen.de
SUMMARY:[:de]Training: Process Mining and Scientific Workflows running on the HPC cluster[:en]Training: Process Mining and Scientific Workflows Running on the HPC cluster[:]
DESCRIPTION:Name: Training: Process Mining and Scientific Workflows running on the HPC cluster \nEvent type: Workshop \nDate: October 18\, 2022\n \nTime:  9am – 1pm \nFormat: Online\n \nTarget Audience: HPC users\n \nContact Person: Zahra Sadeghibogar \n*More information* \n \n\n  \nDesciption  \nThe goal of process mining is to turn event data into insights and actions. On the other side\, there exist scientific workflows running on HPC clusters. \nNow\, how can we combine process mining and scientific workflows running on HPC clusters? The first idea is „Process mining on logs of execution of scientific workflows on HPC“. Process mining on previous executions of a workflow on an HPC system can be used to deduce certain parallel execution parameters such as the number of tasks\, number of cores\, dedicated memory\, etc. So\, here we can provide valuable insights and offer optimization ideas for running the tasks on the HPC cluster. \nCurrently\, based on the analysis of the extracted event log\, there is limited usage of SLURM as the workflow management system\, which means that only a small fraction of accounts declare interdependencies between tasks. So here comes the second idea\, which is implementing a workflow engine that runs workflow steps (jobs) on SLURM with correct interdependencies. The third idea could be enabling efficient and distributed execution of process mining operators on HPC clusters. That is to allow users to run process mining workflows on an HPC cluster. \n\n  \nAgenda \n8:45 – 9:00\nWelcome \n9:00 – 9:30\nTalk 1: Introduction to Process Mining \n9:30 – 10:00\nTalk 2: Introduction to HPC challenges to process mining \n10:00 – 10:30\nTalk 3: Introduction to scientific workflows and workflow management systems \n10:30 – 11:00\nBreak \n11:00 – 11:30\nTalk 3: The first idea: Process mining on logs of execution of scientific workflows on HPC \n11:30 – 12:00\nTalk 4: The second idea: Building a workflow engine to run workflow steps on the HPC cluster with correct interdependencies \n12:00 – 12:30\nDiscussion \n12:30 – 12:45\nConclusion
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-process-mining-and-scientific-workflows-running-on-the-hpc-cluster/
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:20221018T100000
DTEND;TZID=Europe/Berlin:20221018T160000
DTSTAMP:20260415T155417
CREATED:20220919T095743Z
LAST-MODIFIED:20220919T115950Z
UID:6104-1666087200-1666108800@blog.rwth-aachen.de
SUMMARY:Training: Parallelization in OpenFOAM for HPC Deployment
DESCRIPTION:Name: Training: Parallelization in OpenFOAM for HPC Deployment \nEvent type: Workshop \nDate: October 18\, 2022\n \nTime:  10am – 4pm \nFormat: Online\n \nTarget Audience: HPC users\n \nRequirements (required knowledge/experience):  \nThe participants are required to have a working operation system (Linux) and the most recent version of OpenFOAM installed. For more details and instructions\, please refer to \n\nhttps://develop.openfoam.com/Development/openfoam/-/blob/master/doc/Build.md\nhttps://develop.openfoam.com/Development/openfoam/-/wikis/precompiled/\nhttps://www.openfoam.com/documentation/system-requirements\n\nTo take full advantage of the course offering it would be advisable to have a standing knowledge of using Linux\, as it is used for all exercises. Basics in C++ programming will be required for some of the exercises as well as some insights into CFD theory (finite volume method\, basic concepts of discretization). \nContact Person: Mohammed Elwardi Fadeli and Dr. Holger Marschall \n*More information* \n \n\n  \nDesciption  \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.
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-parallelization-in-openfoam-for-hpc-deployment/
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:20221019T090000
DTEND;TZID=Europe/Berlin:20221020T130000
DTSTAMP:20260415T155417
CREATED:20220919T103343Z
LAST-MODIFIED:20220919T115935Z
UID:6108-1666170000-1666270800@blog.rwth-aachen.de
SUMMARY:Training: Introduction to Machine Learning & Deep Learning
DESCRIPTION:Name: Training: Introduction to Machine Learning & Deep Learning \nEvent type: Workshop \nDate: October 19 to 20\, 2022\n \nTime: 9am – 1pm (2×4 Hours\, 3 hours of presentation\, 4 hours of hands-on live exercises\, and a discussion) \nFormat: Online\n \nTarget Audience: ML/DL beginners\, Scientists who want to apply ML methods\n \nCapacity: Unlimited \nRequirements (required knowledge/experience): Laptop and a working internet connection \nContact Person: Zahra Sadeghibogar and Jonas Seng \n*More information* \n \n\n  \nDesciption  \nNot only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a datadriven 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. \nThis workshop will introduce the basics of ML and DL in a theoretical and practical way with the State of Art technologies. 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\n  \nAgenda  \nDay 1 – October 19\, 2022 \n9:00 – 9:15\nWelcome \n9:15 – 9:35\nSetup \n9:35 – 10:00\nData Preparation (Presentation) \n10:00 – 10:30\nData Preparation (Hands On) \n10:30 – 10:45\nBreak \n10:45 – 11:15\nRandom Forests (Presentation) \n11:15 – 11:45\nRandom Forests (Hands On) \n11:45 – 12:15\nGeneralized Linear Models (Presentation) \n12:15 – 12:45\nGeneralized Linear Models (Hands On) \n12:45 – 13:00\nWrap Up \n\nDay 2 – October 20\, 2022  \n9:00 – 9:15\nWelcome \n9:15 – 9:45\nNeural Networks (Presentation) \n9:45 – 10:15\nNeural Networks (Hands On) \n10:15 – 10:45\nHyperparameter Tuning (Presentation) \n10:45 – 11:15\nHyperparameter Tuning (Hands On) \n11:15 – 11:30\nBreak \n11:30 – 12:00\nPitfalls of Neural Networks (Presentation) \n12:00 – 12:10\nWrap Up \n12:10 – 13:00\nDiscussion & Feedback
URL:https://blog.rwth-aachen.de/itc-events/en/event/training-introduction-to-machine-learning-deep-learning/
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:20221019T130000
DTEND;TZID=Europe/Berlin:20221019T143000
DTSTAMP:20260415T155417
CREATED:20220926T111755Z
LAST-MODIFIED:20240405T123909Z
UID:6134-1666184400-1666189800@blog.rwth-aachen.de
SUMMARY:[:en]Introduction to interactive HPC with JupyterHub at RWTH Aachen University[:]
DESCRIPTION:Abstract\nThe HPC JupyterHub service at the RWTH Aachen Univerity 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 introduce the HPC JupyterHub service and offer an interactive demo. There will also be a discussion section to explore new use cases. \nNote that the contents of this second training will be identical to the one already held this September. \nAgenda\n\nIntroduction to JupyterHub @ RWTH (20 minutes)\nInteractive Demo (40 minutes)\nQ & A Session  (30 minutes)\n\nFormat\nOnline via Zooom. \nTarget Audience\nHPC\, Simulation Software and Machine Learning users. \nRequirements\nHPC and VPN account at the RWTH for the interactive demo. \nCapacity\nUnlimited for the presentation\, and 96 for the interactive demo. \nContact Person\nAlvaro Frank a.frank@itc.rwth-aachen.de \nRegistration\nRWTH Single Sign-On (SSO) \nRegistration for RWTH externals \nRegistration closing date: October 17th\, 2022
URL:https://blog.rwth-aachen.de/itc-events/en/event/introduction-to-interactive-hpc-with-jupyterhub-at-rwth-aachen-university/
LOCATION:Online\, Deutschland
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221020T090000
DTEND;TZID=Europe/Berlin:20221020T150000
DTSTAMP:20260415T155417
CREATED:20221006T115854Z
LAST-MODIFIED:20221006T115937Z
UID:6142-1666256400-1666278000@blog.rwth-aachen.de
SUMMARY:MATLAB Day 2022
DESCRIPTION:Name: MATLAB Day 2022\n \nEvent type:Information event\n \nDate: October 20\, 2022\n \nTime: 9am – 3pm \nLocation: Hybrid – SuperC and Zoom\n \nLanguage: Englisch \nTarget group: Students\, teachers and researchers of RWTH Aachen University \n \nFor registration and further information (accessible from the RWTH network or VPN) \n\n  \nHighlights \n\n\n\n\n\n\nMATLAB Master Class: Automatic C Production Code Generation\nCurrent applications at RWTH in research and teaching\nLectures from the institutes: AMT\, CATS\, i11\, IBF\, IRT\n\n\n\n\n\n 
URL:https://blog.rwth-aachen.de/itc-events/en/event/matlab-day-2022/
LOCATION:Hybrid
CATEGORIES:Einmalig
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221020T140000
DTEND;TZID=Europe/Berlin:20221020T150000
DTSTAMP:20260415T155417
CREATED:20220518T122419Z
LAST-MODIFIED:20220518T122419Z
UID:6023-1666274400-1666278000@blog.rwth-aachen.de
SUMMARY:[:en]HPC Consultation Hour #13[:]
DESCRIPTION:We offer an open HPC consultation hour on a regular basis. This will take place online 4-weekly. 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-13/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Consultation Hour,HPC Events,Wiederkehrend
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:20221021T130000
DTEND;TZID=Europe/Berlin:20221021T170000
DTSTAMP:20260415T155417
CREATED:20220919T104002Z
LAST-MODIFIED:20220919T104042Z
UID:6110-1666357200-1666371600@blog.rwth-aachen.de
SUMMARY:[:de]CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking[:en]CFD Training Series: Efficient HPC Implementation for Lagrangian Particle Tracking[:]
DESCRIPTION:Name: CFD Training Series: Efficient HPC Implementation for Lagrangian Particle Tracking \nEvent type: Workshop \nDate: October 21\, 2022\n \nTime: 1pm – 5pm \nFormat: tbd\n \nTarget Audience: tbd\n \nRequirements (required knowledge/experience): tbd \nContact Person: Thomas Hösgen \n*More information* \n \n\n  \nDesciption  \ntbd \n\n  \nAgenda  \ntbd
URL:https://blog.rwth-aachen.de/itc-events/en/event/cfd-training-series-efficient-hpc-implementation-for-lagrangian-particle-tracking/
CATEGORIES:Einmalig,HPC Events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20221028T130000
DTEND;TZID=Europe/Berlin:20221028T170000
DTSTAMP:20260415T155417
CREATED:20220919T105123Z
LAST-MODIFIED:20220919T105123Z
UID:6112-1666962000-1666976400@blog.rwth-aachen.de
SUMMARY:CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems
DESCRIPTION:Name: CFD Training Series: Introduction to Discontinuous Galerkin Methods for Flow Problems \nEvent type: Workshop \nDate: October 28\, 2022\n \nTime: 1pm – 5pm \nFormat: Online\n \nTarget Audience: HPC users\n \nContact Person: Dr. Martin Smuda \n*More information* \n \n\n  \nDesciption  \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.
URL:https://blog.rwth-aachen.de/itc-events/en/event/cfd-training-series-introduction-to-discontinuous-galerkin-methods-for-flow-problems/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
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