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DTSTART;TZID=Europe/Berlin:20231026T130000
DTEND;TZID=Europe/Berlin:20231026T170000
DTSTAMP:20260506T130228
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
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DTSTART;TZID=Europe/Berlin:20231026T160000
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DTSTAMP:20260506T130228
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
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