BEGIN:VCALENDAR VERSION:2.0 PRODID:-//IT Center Events - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:IT Center Events X-ORIGINAL-URL:https://blog.rwth-aachen.de/itc-events/en X-WR-CALDESC:Events for IT Center Events REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20220327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20221030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230516T140000 DTEND;TZID=Europe/Berlin:20230516T170000 DTSTAMP:20260531T235043 CREATED:20230315T090249Z LAST-MODIFIED:20230316T124640Z UID:6378-1684245600-1684256400@blog.rwth-aachen.de SUMMARY:[:en]Introduction to Research Software Development with MATLAB[:] DESCRIPTION:Introduction to Research Software Development with MATLAB \nLive Session: Thursday May 16th\, 2 PM – 5 PM (3 hours) \nInstructor: Dr. Thomas Künzel\, The MathWorks Academia Team \nAs a (junior-) scientist you wear many hats. Among many other things you often must be a bit of a software developer to tackle the analytical problems that come up during your projects. In this course we will present concepts and tools for your contribution to collaborative development of research software. We will give you a hands-on introduction to good development practices\, writing clean code and using source-code control with MATLAB. This workshop will give you a running start when it comes to writing maintainable research software. \n  \nTopics \n\nBest practices for collaborative research software development\nHands-on exercises on data analysis: from low-code tools to writing clean code\nUsing the git-integration for source control in MATLAB\nHow to share your MATLAB code with collaborators\n\n   \nWho is this for? \nThis introductory is course is designed for students\, researchers and early career scientists with beginner to intermediate programming experience. \n  \nRegistration\n \nPlease register until May 14th. \n  \nContact \nDr. Thomas Künzel URL:https://blog.rwth-aachen.de/itc-events/en/event/introduction-to-research-software-development-with-matlab/ LOCATION:Online\, Deutschland CATEGORIES:Einmalig,HPC Events ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230517T100000 DTEND;TZID=Europe/Berlin:20230517T113000 DTSTAMP:20260531T235043 CREATED:20230426T131521Z LAST-MODIFIED:20250527T095512Z UID:6490-1684317600-1684323000@blog.rwth-aachen.de SUMMARY:Schulung zum SAM-Tool Mai 2023 [2] DESCRIPTION:This entry is only available in Deutsch. Name: Schulung zum SAM-Tool \n \nVeranstaltungsart: Schulung\n \nDatum: 17. Mai 2023\n \nUhrzeit: 10:00 bis 11:30 Uhr \nOrt: Microsoft Teams\n \nZielgruppe: IT Besteller*innen und Interessierte \n\n\n  \nBeschreibung\nIn der Schulung werden die Grundlagen des SAM-Tools vorgestellt\, um den Nutzenden einen guten Einstieg zu ermöglichen. Die Schulung richtet sich an alle Interessierten des SAM-Tools sowie Bestandskund*innen\, welche seit diesem Jahr das Tool nutzen. \nAlternativer Termin: 9. Mai 2023 von 13:00 bis 14:30 Uhr \n\n  \nAgenda\n1. Grundlagen\n– Aufgaben IT Center vs. Aufgaben Einrichtung\n– A-Modell USU \n2. Software\n– Rohdaten\n– Normalisiertes Inventar\n– Bedarf \n3. Lizenzverwaltung\n– Übersicht der Lizenzen\n– Aktive Lizenzen\n– Wartungslizenzen verknüpfen\n– Netzwerklizenzen (Geräte Beschreibung)\n– Windows OEM\n– Campusteilhabe\n– Compliance generieren\n– Kostenstellen filtern \n5. Verwaltung GUI\n– Spalten ein-/ausblenden\n– Ansichten speichern und abrufen\n– Dashboard erstellen \n6. Zeit für Fragen URL:https://blog.rwth-aachen.de/itc-events/en/event/schulung-zum-sam-tool-2/ LOCATION:Microsoft Teams CATEGORIES:Einmalig ORGANIZER;CN="IT Center":MAILTO:events@itc.rwth-aachen.de END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230525T140000 DTEND;TZID=Europe/Berlin:20230525T160000 DTSTAMP:20260531T235043 CREATED:20230315T090600Z LAST-MODIFIED:20230316T124911Z UID:6380-1685023200-1685030400@blog.rwth-aachen.de SUMMARY:[:en]Low-Code AI with MATLAB[:] DESCRIPTION:Building AI workflows interactively. \nLive Session: Thursday May 25th\, 2 PM – 4 PM (2 hours) \nInstructor: Dr. Kathi Kugler\, The MathWorks Academia Team \nIn this training you will learn how you can apply AI in your field without extensive knowledge in programming. This hands-on session includes a quick recap on the fundamentals of AI and three exercises where you will learn how to classify human activities such as walking\, sitting and lying down\, using MATLAB®\, interactive tools and apps: \n\nAccessing and preprocessing data acquired from a mobile device.\nApplying clustering to the unlabeled data using the Cluster Data Live Editor Task\nClassifying the labeled data using two apps: Classification Learner app and the Deep Network Designer app\n\nAt the end of the workshop\, you will be able to design and train different machine learning and deep learning models without extensive programming knowledge. You will also learn how to automatically generate code from the interactive workflow. This will not only help you to reuse the models without manually going through all the steps but also to learn programming or advance your coding skills. \nTo participate in this workshop\, you will need a MathWorks® account. \n  \nWho is this for? \nThe training is for students and researchers who want to get started with Artificial Intelligence in MATLAB and leverage interactive workflows. This training will enable you to solve simple classification and regression problems in MATLAB. \n  \nRegistration \nPlease register until May 23rd. \n  \nContact \nDr. Kathi Kugler URL:https://blog.rwth-aachen.de/itc-events/en/event/low-code-ai-with-matlab/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230525T160000 DTEND;TZID=Europe/Berlin:20230525T170000 DTSTAMP:20260531T235043 CREATED:20230324T075509Z LAST-MODIFIED:20230328T084255Z UID:6438-1685030400-1685034000@blog.rwth-aachen.de SUMMARY:[:en]Machine Learning Consultancy Hour #3[:] 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-3/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour,Wiederkehrend END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230606T140000 DTEND;TZID=Europe/Berlin:20230606T153000 DTSTAMP:20260531T235043 CREATED:20230315T090944Z LAST-MODIFIED:20230316T124859Z UID:6382-1686060000-1686065400@blog.rwth-aachen.de SUMMARY:[:en]Deep Learning with Images in MATLAB[:] DESCRIPTION:Flipped Classroom: Online Training & Live Session \nOnline Training: Self-paced\, approximately 2 hours \nLive Session: Tuesday June 6th\, 2 PM – 3:30 PM (90 minutes) \nInstructor: Dr. Franziska Albers\, The MathWorks Academia Team \n  \nIn this training you will learn how to apply deep learning in MATLAB using image classification as an example. \nWe will use a flipped classroom style: you will work through the online course “Deep Learning Onramp” on your own and afterwards we will meet for a live session. \nThe online course covers: \n\nBasic idea of deep learning\nBasics of convolutional neural networks\nHow to make predictions with pretrained networks\nHow to manage collections of image data\nHow to perform transfer learning to fine-tune a pretrained network with your own data\n\nIn our live session we will: \n\nDiscuss your questions\nDiscuss how to build a convolutional neural network from scratch\nUse a convolutional neural network for regression\nDiscuss how you can learn more – so you can tackle your own deep learning projects in MATLAB\n\nPrerequisites \nYou will need a MathWorks account and some basic MATLAB skills to join this training. You are expected to complete the Deep Learning Onramp before joining the live session. The onramp takes approximately two hours to complete. \nWho is this for? \nThe training is for students and researchers who want to get started with deep learning in MATLAB. This training will enable you to solve simple classification and regression problems in MATLAB. \nRegistration \nPlease register until June 4th. \n  \nContact \nDr. Franziska Albers URL:https://blog.rwth-aachen.de/itc-events/en/event/deep-learning-with-images-in-matlab/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230615T140000 DTEND;TZID=Europe/Berlin:20230615T150000 DTSTAMP:20260531T235043 CREATED:20230317T142015Z LAST-MODIFIED:20230317T145000Z UID:6403-1686837600-1686841200@blog.rwth-aachen.de SUMMARY:[:en]HPC Consultation Hour #20[:] 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-20/ 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:20230620T100000 DTEND;TZID=Europe/Berlin:20230620T120000 DTSTAMP:20260531T235043 CREATED:20230428T133624Z LAST-MODIFIED:20230428T134354Z UID:6505-1687255200-1687262400@blog.rwth-aachen.de SUMMARY:[:de]Landesweiter MFA Workshop [:] DESCRIPTION:This entry is only available in Deutsch. Name: Landesweiter MFA Workshop \n \nVeranstaltungsart: Workshop\n \nDatum: 20.06.2023\n \nUhrzeit: 10:00 – 12:00 Uhr \nOrt: Virtuell\n \nZielgruppe: Interessierte Mitarbeitende der Hochschulen in NRW \nZur Anmeldung \n\n\n  \nBeschreibung\nWir berichten über das Thema Mehr-Faktor-Authentifizierung an Hochschulen und legen dabei Wert auf die organisatorischen Aspekte.\nInteressierte Personen können sich über die Projektwebseite von IDM.nrw anmelden. URL:https://blog.rwth-aachen.de/itc-events/en/event/landesweiter-mfa-workshop/ LOCATION:Online\, Deutschland CATEGORIES:Einmalig ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2023/04/idm-nrw_Kooperationsvorhaben_Logo_CMYK.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230629T160000 DTEND;TZID=Europe/Berlin:20230629T170000 DTSTAMP:20260531T235043 CREATED:20230324T075724Z LAST-MODIFIED:20230328T084305Z UID:6440-1688054400-1688058000@blog.rwth-aachen.de SUMMARY:[:en]Machine Learning Consultancy Hour #4[:] 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-4/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230706T150000 DTEND;TZID=Europe/Berlin:20230706T160000 DTSTAMP:20260531T235043 CREATED:20230621T104225Z LAST-MODIFIED:20250527T095254Z UID:6514-1688655600-1688659200@blog.rwth-aachen.de SUMMARY:RWTHjupyter Community Treffen Juli 2023 DESCRIPTION:This entry is only available in Deutsch. Name: RWTHjupyter Community Treffen\n \nVeranstaltungsart: Informationsveranstaltung\n \nDatum: 06. Juli 2023\n \nUhrzeit: 15:00 – 16:00 Uhr \nOrt: \nZoom \nhttps://rwth.zoom.us/j/62491910328?pwd=aG1BUjlyUXRycFpIN2VCWVlyaE55QT09 \nMeeting-ID: 624 9191 0328\nKenncode: 393451 \nZielgruppe: RWTHjupyter Nutzende und Interessierte \n \nKosten: Kostenfrei \nAnmeldung: nicht erforderlich \n\n  \nBeschreibung \nSeit Sommer 2021 finden regelmäßig RWTHjupyter Community Treffen statt mit dem Zweck des Austauschs zwischen Nutzer/innen\, Entwickler/innen und Betreiber/innen dieser interaktiven Rechenplattform. Versprochener Vorteil der Community ist\, gemeinsam im Zusammenspiel der Interessen den Service voranzutreiben und den Austausch zwischen den beteiligten Personen zu organisieren. \n \nIn diesem nächsten Community Treffen sollen die aktuellen Entwicklungen rund um RWTHjupyter vorgestellt werden.\nAlle Interessierte und alle Nutzende des Services sind herzlich zu diesem Treffen eingeladen. \n\n  \nAgenda \n15:00 bis 16:00 Uhr \nAgenda: \n\nInfos zu aktuellen Entwicklungen\nVorstellung geplantes NRW-weites JupyterHub Angebot (Uni Münster)\n\n\n  \nVeranstaltungsunterlagen\n\nHier finden Sie die Dokumente für die Veranstaltung: \nFolien der Veranstaltung \nJupyterHub.NRW URL:https://blog.rwth-aachen.de/itc-events/en/event/rwthjupyter-community-treffen-3/ LOCATION:Zoom CATEGORIES:Einmalig ATTACH;FMTTYPE=image/png:https://blog.rwth-aachen.de/itc-events/files/2022/01/RWTHjupyter_Logo.png ORGANIZER;CN="IT Center":MAILTO:events@itc.rwth-aachen.de END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230712T130000 DTEND;TZID=Europe/Berlin:20230712T143000 DTSTAMP:20260531T235043 CREATED:20230706T144100Z LAST-MODIFIED:20240405T123934Z UID:6522-1689166800-1689172200@blog.rwth-aachen.de SUMMARY:[:en]Introduction to interactive HPC with 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\nHPC\, 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-interactive-hpc-with-jupyterhub-at-the-rwth-3/ LOCATION:Online\, Deutschland CATEGORIES:Einmalig,HPC Events ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230720T140000 DTEND;TZID=Europe/Berlin:20230720T150000 DTSTAMP:20260531T235043 CREATED:20230317T142446Z LAST-MODIFIED:20230317T145104Z UID:6405-1689861600-1689865200@blog.rwth-aachen.de SUMMARY:[:en]HPC Consultation Hour #21[:] 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-21/ 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:20230727T160000 DTEND;TZID=Europe/Berlin:20230727T170000 DTSTAMP:20260531T235043 CREATED:20230324T075827Z LAST-MODIFIED:20230328T084315Z UID:6442-1690473600-1690477200@blog.rwth-aachen.de SUMMARY:[:en]Machine Learning Consultancy Hour #5[:] 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-5/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230817T140000 DTEND;TZID=Europe/Berlin:20230817T150000 DTSTAMP:20260531T235043 CREATED:20230317T142633Z LAST-MODIFIED:20230317T145131Z UID:6407-1692280800-1692284400@blog.rwth-aachen.de SUMMARY:[:en]HPC Consultation Hour #22[:] 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-22/ 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:20230831T160000 DTEND;TZID=Europe/Berlin:20230831T170000 DTSTAMP:20260531T235043 CREATED:20230324T080209Z LAST-MODIFIED:20230328T084335Z UID:6444-1693497600-1693501200@blog.rwth-aachen.de SUMMARY:[:en]Machine Learning Consultancy Hour #6[:] 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-6/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20230904 DTEND;VALUE=DATE:20230907 DTSTAMP:20260531T235043 CREATED:20230816T110357Z LAST-MODIFIED:20230816T110424Z UID:6611-1693785600-1694044799@blog.rwth-aachen.de SUMMARY:[:de]MATSE-Ersti-Veranstaltung 2023[:] DESCRIPTION:This entry is only available in Deutsch. Name: MATSE-Ersti-Veranstaltung 2023\n \nVeranstaltungsart: intern\n \nDatum: 04. und 06. September 2023\n \nUhrzeit: ganztägig \nOrt: IT Center \n \nZielgruppe: neue MATSE-Auszubildende sowie ältere MATSE-Jahrgänge \n\n  \nBeschreibung\nAm 04. September 2023 werden die neuen MATSE-Auszubildenden am IT Center offiziell begrüßt. Nach der Begrüßung und Einführung in die MATSE-Ausbildung\, findet die MATSE-Rallye statt\, um nicht nur die Wege und Räume im IT Center kennenzulernen\, sondern auch um die ersten Kontakte untereinander zu knüpfen\, während man gemeinsam Aufgaben und Rätseln lösen kann. \nMit der Einführung in die MATSE Dienste und der Vorstellung der Möglichkeiten und Bedienung des Organisationstools für die MATSE Ausbildung geht die Veranstaltung am 06. September 2023 weiter. Nach der Siegerehrung der Gewinner*innen der MATSE-Rallye\, werden gemeinsam mit den neuen Auszubildenden\, den älteren MATSE-Jahrgängen\, den Ausbilder*innen\, der MATSE-Ausbildungsverwaltung und dem Organisationsteam bei einem Grillevent in entspannter Atmosphäre gefeiert. \nDer ausführliche Nachbericht kann anschließend im IT Center Blog nachgelesen werden. URL:https://blog.rwth-aachen.de/itc-events/en/event/matse-ersti-veranstaltung-2023/ LOCATION:IT Center\, Kopernikusstraße 6\, Aachen\, NRW\, 52074\, Deutschland CATEGORIES:Einmalig ATTACH;FMTTYPE=image/png:https://blog.rwth-aachen.de/itc-events/files/2022/09/Matse_Ausbildung-Logo_inside.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230920T100000 DTEND;TZID=Europe/Berlin:20230920T120000 DTSTAMP:20260531T235043 CREATED:20230822T083532Z LAST-MODIFIED:20230922T123358Z UID:6615-1695204000-1695211200@blog.rwth-aachen.de SUMMARY:[:de]RWTH Adminrunde September 2023[:] DESCRIPTION:This entry is only available in Deutsch. Name: RWTH Adminrunde September 2023\n \nVeranstaltungsart: Informationsveranstaltung\n \nDatum: 20. September \n \nUhrzeit: 10:00 bis 12:00 Uhr \nOrt: Microsoft Teams\n \nZielgruppe: Admins der RWTH Aachen und alle weiteren Interessierten \n\n\n  \nBeschreibung\nDie nächste Adminrunde findet am Mittwoch\, den 20. September 2023 von 10.00 – 12.00 Uhr per Videokonferenz statt. \nAllgemeine Infos zur RWTH Adminrunde \n\n  \nAgenda\n1. Allgemeine Rahmenbedingungen für Ticket-Tools\n2. Multifaktorauthentifizierung (MFA) für die RWTH\n3. Geplanter Start Webex – Ablösung Jabber\n4. S/MIME-Nutzerzertifikate im ra-portal \n\n\nVeranstaltungsunterlagen\nDie Folien der Sitzung sind im RWTH Intranet zu finden. URL:https://blog.rwth-aachen.de/itc-events/en/event/rwth-adminrunde-september-2023/ LOCATION:Microsoft Teams CATEGORIES:RWTH Adminrunde,Wiederkehrend END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20230921T140000 DTEND;TZID=Europe/Berlin:20230921T150000 DTSTAMP:20260531T235043 CREATED:20230317T142750Z LAST-MODIFIED:20230317T145530Z UID:6409-1695304800-1695308400@blog.rwth-aachen.de SUMMARY:[:en]HPC Consultation Hour #23[:] 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-23/ 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:20230927T160000 DTEND;TZID=Europe/Berlin:20230927T170000 DTSTAMP:20260531T235043 CREATED:20230324T080659Z LAST-MODIFIED:20230925T071809Z UID:6446-1695830400-1695834000@blog.rwth-aachen.de SUMMARY:[:en]Machine Learning Consultancy Hour #7[:] 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-7/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231019T140000 DTEND;TZID=Europe/Berlin:20231019T150000 DTSTAMP:20260531T235043 CREATED:20230317T142905Z LAST-MODIFIED:20230317T145207Z UID:6411-1697724000-1697727600@blog.rwth-aachen.de SUMMARY:[:en]HPC Consultation Hour #24[:] 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-24/ 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:20231026T130000 DTEND;TZID=Europe/Berlin:20231026T170000 DTSTAMP:20260531T235043 CREATED:20230830T154514Z LAST-MODIFIED:20240405T120912Z UID:6630-1698325200-1698339600@blog.rwth-aachen.de SUMMARY:[:en]NHR4CES: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking[:] DESCRIPTION:Name: CFD Training Series: Efficient HPC implementation for Lagrangian particle tracking \nDate: October 26\, 2023 \n \nTime: 1.00 pm – 5.00 pm \nFormat: hybrid \nMore Information \n  \n\n  \nDescription\nShort abstract: \nIn this course\, the basics of Lagrangian point particle methods for the application on HPC systems are covered. The course consists of an introduction to the applied method\, followed by a hands-on exercise using the in-house simulation framework m-AIA. The topics covered are spherical and non-spherical particles and the efficient implementation of point particle methods for the use in HPC. The course will be held in person at the Chair of Fluid Mechanics and Institute of Aerodynamics at RWTH Aachen University in Aachen. The presentations will also be streamed online. \n  \nClick here to register\n  URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-cfd-training-series-efficient-hpc-implementation-for-lagrangian-particle-tracking/ 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:20231026T160000 DTEND;TZID=Europe/Berlin:20231026T170000 DTSTAMP:20260531T235043 CREATED:20230324T080915Z LAST-MODIFIED:20230328T084357Z UID:6448-1698336000-1698339600@blog.rwth-aachen.de SUMMARY:[:en]Machine Learning Consultancy Hour #8[:] 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-8/ LOCATION:Online\, Deutschland CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Berlin:20231102T130000 DTEND;TZID=Europe/Berlin:20231102T170000 DTSTAMP:20260531T235043 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:20260531T235043 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:20260531T235043 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:20260531T235043 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:20260531T235043 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:20260531T235043 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:20260531T235043 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:20260531T235043 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:20260531T235043 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 END:VCALENDAR