BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IT Center Events - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20230419T130000
DTEND;TZID=Europe/Berlin:20230419T153000
DTSTAMP:20260605T204333
CREATED:20230327T162853Z
LAST-MODIFIED:20240405T123851Z
UID:6476-1681909200-1681918200@blog.rwth-aachen.de
SUMMARY:[:en]Introduction to interactive HPC with JupyterHub[:]
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. \nThis workshop will showcase the HPC JupyterHub service. \nAgenda\n\nIntroduction to JupyterHub @ RWTH (20 minutes)\nDemo (40 minutes)\nQ & A Session  (30 minutes)\n\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/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20230420T140000
DTEND;TZID=Europe/Berlin:20230420T150000
DTSTAMP:20260605T204333
CREATED:20220518T131330Z
LAST-MODIFIED:20230317T144832Z
UID:6037-1681999200-1682002800@blog.rwth-aachen.de
SUMMARY:[:en]HPC Consultation Hour #19[:]
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-19/
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:20230427T160000
DTEND;TZID=Europe/Berlin:20230427T170000
DTSTAMP:20260605T204333
CREATED:20230324T075352Z
LAST-MODIFIED:20230328T084243Z
UID:6436-1682611200-1682614800@blog.rwth-aachen.de
SUMMARY:[:en]Machine Learning Consultancy Hour #2[:]
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-2/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES: Machine Learning Consultancy Hour
END:VEVENT
END:VCALENDAR