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DTSTART;TZID=Europe/Berlin:20240430T130000
DTEND;TZID=Europe/Berlin:20240430T170000
DTSTAMP:20260504T052045
CREATED:20240416T105241Z
LAST-MODIFIED:20240416T105241Z
UID:7043-1714482000-1714496400@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - Efficient HPC implementation for Lagrangian particle tracking[:]
DESCRIPTION:Name: Efficient HPC implementation for Lagrangian particle tracking \nDate: 30.04.2024 1.00 pm – 5.00 pm; \nFormat: hybrid \nMore Information & Register \n  \n\n  \nDescription\n\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 available via online live stream.\n\nInformation about SDL Fluids
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-efficient-hpc-implementation-for-lagrangian-particle-tracking/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES Events,Wiederkehrend
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DTSTART;TZID=Europe/Berlin:20240430T140000
DTEND;TZID=Europe/Berlin:20240430T170000
DTSTAMP:20260504T052045
CREATED:20240408T142708Z
LAST-MODIFIED:20240521T124316Z
UID:7004-1714485600-1714496400@blog.rwth-aachen.de
SUMMARY:[:en]Parallel Computing with MATLAB[:]
DESCRIPTION:We are excited to announce the continuation of the successful collaboration between HPC.NRW and MathWorks for the third consecutive year\, offering a comprehensive series of four workshops designed to empower researchers\, engineers\, and scientists. This unique series aims to enhance skills in high-performance computing (HPC)\, software development for research\, and artificial intelligence (AI) with MATLAB. \nThe first part of the Parallel Computing workshops focuses on parallel computing with MATLAB on the desktop.  The host introduces the concept of parallel computing and briefly covers optimizing code before diving into parallelism in MATLAB and common programming constructs such as parfor (including optimization and performance considerations)\, parfeval\, and parsim.  Next\, scaling options are introduced with discussion about GPUs and clusters/clouds and the workflow of submitting to these resources.  Throughout this part of the workshop\, users will complete hands-on exercises alongside the instructor as concepts are introduced in a special MATLAB Online classroom. \nWorkshop Series\n\nParallel Computing with MATLAB (this course)\nParallel Computing with MATLAB on the CLAIX Cluster\nIntroduction to Research Software Development with MATLAB\nAI for Predictive Maintenance\n\nOrganization\n\nThere is no seminar fee.\nPresentations will be given in English. Slides will be available after the event.\nThis is an online event and will be held in Zoom. Links are sent to registered attendees with the registration confirmation.\nYou can/must register per topic\, i.e.\, for each workshop separately.\n\nSpeaker\n\nDr. Thomas Künzel (MathWorks)\n\nCourse level\n\nBeginner to intermediate\n\nTarget audience\n\nStudents\, researchers and scientists with increasing computational demands\n\nPrerequisites\n\nBasic MATLAB familiarity\nYour MathWorks-Account\n\nGained skills\n\nUnderstanding of the philosophy of MATLABs parallel computing language\nApply MATLABs high-level parallel computing language constructs\nKnowledge of how to use NVIDIA GPUs for computation in MATLAB\nRunning synchronous and asynchronous parallel computations with MATLAB\nSolving Big-Data problems with MATLAB\n\nRegistration\nPlease register here \nCourse Material\n\n1_ParallelComputing1_hpcnrw.pdf\n1_ParallelComputing1_hpcnrw.zip\n\nCooperation Partners
URL:https://blog.rwth-aachen.de/itc-events/en/event/parallel-computing-with-matlab-2024/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,HPC.NRW,MathWorks
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