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DTSTART;TZID=Europe/Berlin:20240507T140000
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DTSTAMP:20260808T080535
CREATED:20240416T122148Z
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UID:7018-1715090400-1715101200@blog.rwth-aachen.de
SUMMARY:[:en] Parallel Computing with MATLAB on the CLAIX Cluster[:]
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 second part of the Parallel Computing with MATLAB series focuses on walking users through accessing the cluster\, setting up a cluster profile\, and submitting sample jobs.  FastX is used to launch MATLAB interactively\, where users are shown how to set job submission arguments before running both single node and multi node jobs.  Users will follow along and submit various CPU-only jobs before discussion moves to using GPUs. Additionally\, users will learn how to debug and troubleshoot if any errors appear. \nWorkshop Series\n\nParallel Computing with MATLAB\nParallel Computing with MATLAB on the CLAIX Cluster (this course)\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\nDamian Pietrus (MathWorks)\n\nCourse level\n\nIntermediate\n\nTarget audience\n\nMATLAB users interested in scaling to HPC\nExisting HPC users of the  interested in parallel MATLAB\n\nPrerequisites\n\n\n\nBasic MATLAB familiarity\nExisting Account on the CLAIX cluster of RWTH Aachen University\nMATLAB Client and Parallel Toolbox installed on your local Workstation/Laptop\nNetwork Access to CLAIX (Networks external to RWTH Aachen University may need VPN Access)\n\n\n\nGained skills\n\nHow to configure MATLAB to submit jobs to the CLAIX cluster\nThe MATLAB job submission workflow\nJob optimization and tuning\nUsing GPUs with MATLAB\nTroubleshooting job submission techniques\nBest practices for rehosting code onto the cluster\n\nRegistration\nJetzt anmelden » \nCourse Material\n\n2_Parallel-Computing-Workshop-Part-II_CLAIX.pdf\n2_Parallel-Computing-Workshop-Part-II_CLAIX.zip\n\nCooperation Partners
URL:https://blog.rwth-aachen.de/itc-events/en/event/parallel-computing-with-matlab-on-the-claix-cluster-2024/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,HPC.NRW,MathWorks
ORGANIZER;CN="HPC.NRW":MAILTO:training@hpc.nrw
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240514T140000
DTEND;TZID=Europe/Berlin:20240514T170000
DTSTAMP:20260808T080535
CREATED:20240416T124016Z
LAST-MODIFIED:20240521T123307Z
UID:7022-1715695200-1715706000@blog.rwth-aachen.de
SUMMARY:[:en]Introduction to Research Software Development 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. \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 third part of the Parallel Computing with MATLAB series 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. \nWorkshop Series\n\nParallel Computing with MATLAB\nParallel Computing with MATLAB on the CLAIX Cluster\nIntroduction to Research Software Development with MATLAB (this course)\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\nIntermediate\n\nTarget audience\n\nStudents\, researchers and early career scientists\n\nPrerequisites\n\nBasic MATLAB familiarity\nSome first experience in scientific programming. If you do not know what a function is\, this course may not be well suited for you.\nYour MathWorks-Account\n\nGained skills\n\nWhat is Research Software Development? What changes when others may use your code – as opposed to writing some code only for yourself?\nThe concepts and ideas behind “Clean Code” and the activity of refactoring code\nWriting and Using Unit Tests to improve code maintainability\nUsing git as a local source control system. Understanding branches.\nReproducible code environments\n\nRegistration\nJetzt anmelden » \nCourse Material\n\n3_IntroductionToRSDWithMATLAB_hpcnrw.pdf\n3_IntroductionToRSDWithMATLAB_hpcnrw.zip\n\nCooperation Partners
URL:https://blog.rwth-aachen.de/itc-events/en/event/introduction-to-research-software-development-with-matlab-2/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,HPC.NRW,MathWorks
ORGANIZER;CN="HPC.NRW":MAILTO:training@hpc.nrw
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240521T140000
DTEND;TZID=Europe/Berlin:20240521T170000
DTSTAMP:20260808T080535
CREATED:20240416T124100Z
LAST-MODIFIED:20240523T075006Z
UID:7025-1716300000-1716310800@blog.rwth-aachen.de
SUMMARY:[:en]AI for Predictive Maintenance[:]
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. \nArtificial intelligence (AI) is rapidly becoming a critical component of many engineering systems and disciplines today. In the field of predictive maintenance\, AI is being used to design and develop smarter ways to perform anomaly detection\, identify faults\, and estimate remaining useful life of machines. In this forth part of the Parallel Computing with MATLAB series you will write and execute code examples in MATLAB Online – entirely in the browser – to learn and explore how to apply principles of AI to predictive maintenance: machine learning\, deep learning\, feature extraction\, and domain-specific data processing. \nWorkshop Series\n\nParallel Computing with MATLAB\nParallel Computing with MATLAB on the CLAIX Cluster\nIntroduction to Research Software Development with MATLAB\nAI for Predictive Maintenance (this course)\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. Kathi Kugler (MathWorks)\n\nCourse level\n\nBeginner to Intermediate\n\nTarget audience\n\nHPC/AI users\nHPC/AI developers\nUsers interested in predictive maintenance\n\nPrerequisites\n\nBasic MATLAB familiarity (If you feel insecure\, we recommend completing the self-pace online course MATLAB Onramp (ca. 2 hours) before the workshop)\nYour MathWorks-Account\n\nGained skills\n\n\n\nFamiliarizing yourself with MATLAB Online and AI tools with an introductory example that trains a machine learning model to classify faults.\nExploring how to extract features in the time and frequency domains\, and rank them to obtain the most relevant features to train your AI model\nDiving deep into an advanced\, predictive maintenance workflow that covers anomaly detection and remaining useful life estimation.\n\n\n\nRegistration\nJetzt anmelden » \nCourse Material\n\n4_-AI-for-Predictive-Maintenance-HPC-NRW-Handout.pdf\nExercise material on Github\n\nCooperation Partners
URL:https://blog.rwth-aachen.de/itc-events/en/event/ai-for-predictive-maintenance/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,HPC.NRW,MathWorks
ORGANIZER;CN="HPC.NRW":MAILTO:training@hpc.nrw
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