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Title: NHR4CES Community Workshop 2023 – Machine Learning in Computational Fluid Dynamics Event type: Workshop Date & Time: February 28, 2023, 1.30pm - 5.30pm and March 1, 2023, 9.00am - 1.30pm Format: Online Contact: office@nhr.tu-darmstadt.de Contact persons: Jonas Seng, Dr. Martin Smuda and Ludovico Nista Registration *More information* Desciption Big data and Machine Learning (ML) […]
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Name: Landesweiter Technologieworkshop Veranstaltungsart: Workshop Datum: 28.02.2023 Uhrzeit: 10:00 - 11:30 Uhr Ort: Zoom Zielgruppe: IdM Fachexpert*innen von Hochschulen in NRW Beschreibung Im ersten landesweiten Technologieworkshop von IDM.nrw liegt der inhaltliche Fokus auf den folgenden Themen: Grouper Keycloak privacyIDEA Ansiedlung 2. Faktor Umfrage: Technologielandschaft in NRW |
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This introduction provides basic information about high-performance computing (HPC) at the RWTH Aachen University's IT Center for different target groups and needs. It is the basis for the follow-up event PPCES 2023. It is focused on CLAIX-2018 the cluster that has been installed end of 2018 and extended in 2019 at the RWTH Aachen University's […] |
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Since CentOS 7, the Linux Operating System of CLAIX, is outdated, and since CentOS Linux 8 reached End Of Life (EOL), we have to shift to a new Linux distribution. We have selected Rocky Linux 8.7, which is also Red Hat Enterprise compatible. Going hand in hand with this change, we also prepared the shift […] |
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Since CentOS 7, the Linux Operating System of CLAIX, is outdated, and since CentOS Linux 8 reached End Of Life (EOL), we have to shift to a new Linux distribution. We have selected Rocky Linux 8.7, which is also Red Hat Enterprise compatible. Going hand in hand with this change, we also prepared the shift […] |
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Parallel Programming in Computational Engineering and Science (PPCES) 2023 About PPCES This one week event will continue the tradition of previous annual week-long events that take place in Aachen every spring since 2001. We will cover the basics of parallel programming using OpenMP and MPI in Fortran and C/C++ and a first step towards performance […] |
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Since CentOS 7, the Linux Operating System of CLAIX, is outdated, and since CentOS Linux 8 reached End Of Life (EOL), we have to shift to a new Linux distribution. We have selected Rocky Linux 8.7, which is also Red Hat Enterprise compatible. Going hand in hand with this change, we also prepared the shift […] |
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Since CentOS 7, the Linux Operating System of CLAIX, is outdated, and since CentOS Linux 8 reached End Of Life (EOL), we have to shift to a new Linux distribution. We have selected Rocky Linux 8.7, which is also Red Hat Enterprise compatible. Going hand in hand with this change, we also prepared the shift […]
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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: Cluster usage Parallel Programming Performance analysis and optimization of self-written codes Workflow optimization (e.g. job management and data processing) Efficient usage of systems and […] |
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Name:Drittes IDM.nrw Forum Veranstaltungsart: Informationsveranstaltung Datum: 22.03.2023 Uhrzeit: 09:00 - 12:00 Uhr Ort: Zoom Zielgruppe: IdM Mitarbeitende von Hochschulen in NRW Beschreibung In dem virtuellen Forum werden die aktuellen Ergebnisse aus den IDM.nrw-Arbeitspaketen Zentrale Personengruppen, Evaluierung von Technologien und Gemeinsame Attribute thematisiert. Zudem werden Zwischenergebnisse zu den Use Cases präsentiert. In Breakout Rooms gibt […]
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Since CentOS 7, the Linux Operating System of CLAIX, is outdated, and since CentOS Linux 8 reached End Of Life (EOL), we have to shift to a new Linux distribution. We have selected Rocky Linux 8.7, which is also Red Hat Enterprise compatible. Going hand in hand with this change, we also prepared the shift […] |
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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 […] |
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