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DTSTART;TZID=Europe/Berlin:20241209T090000
DTEND;TZID=Europe/Berlin:20241209T090000
DTSTAMP:20260416T020521
CREATED:20240405T130801Z
LAST-MODIFIED:20240523T073348Z
UID:6997-1733734800-1733734800@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - Process Mining and HPC clusters[:]
DESCRIPTION:Name: Process Mining and HPC clusters \nDate: December 9\, 09.00 am – 01.00 pm\, 2024 \nFormat: Online \nMore Information & Register \n  \n\n  \nDescription\nShort abstract: \nIntegrating process mining (PM) with High-Performance Computing (HPC) clusters involves extracting SLURM-scheduled logs for PM analysis. Our findings indicate that HPC users underutilize SLURM’s capabilities as a Workflow Management System (WfMS)\, missing out on workflow benefits such as error reduction and time efficiency. Guiding users to run jobs with proper interdependencies on SLURM can enhance logging for more effective PM analysis.
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-process-mining-and-hpc-clusters/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES Events,Wiederkehrend
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241209T090000
DTEND;TZID=Europe/Berlin:20241211T173000
DTSTAMP:20260416T020521
CREATED:20240906T090658Z
LAST-MODIFIED:20250218T101314Z
UID:7192-1733734800-1733938200@blog.rwth-aachen.de
SUMMARY:aiXcelerate 2024
DESCRIPTION:in cooperation with \n\n\n\n\n\n\n\n\n\n  \n\nTopic: Machine Learning on NVIDIA GPUs\n\nDescription\nThe annual event aiXcelerate at RWTH Aachen University (NHR4CES@RWTH) is a tuning workshop for HPC users. It comprises lectures that are open to everyone\, and hands-on parts where (invited) groups apply the learned concepts to their own codes. This year\, aiXcelerate covers the topic “Machine Learning (ML) on NVIDIA GPUs” and focuses on using the GPUs of RWTH’s HPC cluster “CLAIX” with frameworks such as PyTorch or Tensorflow. This workshop provides insights to performance analysis and performance tuning of ML codes (and is not an introduction to ML). aiXcelerate will take place with the support of NVIDIA from December 9th to 11th\, 2024. Catering is sponsored by NEC and NVIDIA. \nPresentations (open to everyone)\nThe talks are distributed across the morning sessions of the three days of aiXcelerate. The topic of the first day is “Analyzing Performance of ML Codes” and covers the usage of the automatically-running RWTH performance monitoring system\, as well as the usage of NVIDIA’s Nsight tool and how to find bottlenecks with it. The second day focuses on “Scaling ML Codes across Multiple GPUs/ Nodes”. Here\, approaches with PyTorch (Distributed) and Tensorflow + Horovod are presented to speedup ML codes by using more hardware in parallel. On the third day\, we will look at “Handling Datasets of ML Codes”. We will present the different options for storing and using ML data during runtime (on CLAIX). Furthermore\, the usage of check pointing in ML codes will be introduced to save the application’s state in certain intervals to provide fault tolerance. \nTalks are offered in a hybrid form: The presenters will do their talks in-person on the premises of the IT Center at RWTH Aachen University. Thus\, participants are very welcome to attend the presentations in-person\, too. Additionally\, presentations will be streamed live in online form. Hence\, participants can also attend remotely. Participants need to choose their setup (on-premise or online) during the registration process. \nCode & Tuning Activities (limited seats)\nThe sessions on “Code and Tuning Activities” (see agenda) target at users with their own ML codes (e.g.\, using PyTorch or Tensorflow) and follow the principle of bring-your-own (BYO) code. Participants of these sessions will closely work together with and get support by our HPC/ML experts to\, e.g.\, analyze the performance of their codes\, to tune the performance of their codes\, to scale their codes across multiple GPUs\, or to improve data handling of their codes. \nCode and tuning activities are scheduled for all three days of the aiXcelerate workshop to have sufficient time to work on the BYO codes. They start after the presentations in the late morning session and continue throughout the remainder of the day. Since participants will work together with our experts\, this part can only be attended in-person and on-premise. \nThis part focuses on ML users working on the RWTH HPC cluster CLAIX. We (will) invite ML users with suitable compute time projects on CLAIX. Nevertheless\, other interested people are also welcome to register for this part of the workshop. However\, since seats are limited\, we reserve the right to only accept certain projects/ users for this workshop part. \nRequirements\nTo make good use of the time with our HPC/ML experts\, it is necessary that… \n\n … the brought code is already running on CLAIX (software & hardware environment).\n… a (test) dataset is available that (a) runs on one or few GPUs for a short time (e.g.\, few minutes) and (b) still captures the performance profile of a regular dataset by triggering the same production parts of the application.\n… all needed data is already transferred to one of the CLAIX’ file systems (HOME\, WORK\, HPCWORK).\n… at least one developer of the targeted application registered. Several people using the same application is also possible (please register separately).\n\nSupport\nThe HPC/ML experts will work together with the participants (ML developers). Our experts are from the HPC team of the IT Center (NHR4CES@RWTH) and will be kindly supported by the HPC and ML expert Fabian Berressem from NVIDIA. \nOrganization\n\nThere is no workshop fee.\nPresentations will be given in English. Slides will be available during or after the event (see “Course Material” below).\nPresentations are presented in hybrid form (see above). Please choose your setup during the registration process.\nCode activities are in-person on-premise only.\nPresentations and code activities focus on using the GPUs of RWTH’s HPC cluster “CLAIX”.\nNote: This is not an introduction to machine learning! We assume that you have already knowledge on ML and want to focus on performance analysis and tuning.\nNeeded and gained skills are mentioned below.\n\nDate & Venue\nDate: December 9th – December 11th\, 2024\nVenue: IT Center of RWTH Aachen University\, Kopernikusstr. 6\, 52074 Aachen\, seminar rooms 3 + 4 (or online via Zoom/Webex) \nRegistration\nRegistration link (via our NHR4CES website): https://eveeno.com/aixcelerate24 \nDuring the registration\, please specify whether you want to participate in-person or online. We need this information to organize sufficient seating and catering\, and send the participation information to the corresponding participants. Please also withdraw your registration in the registration system using the link that you got in your confirmation e-mail (or let us know) if you cannot attend anymore. Thanks! \nRegistration closing date: November 25th\, 2024 Registration is closed\n \nAgenda\nAgenda is subject to slight changes. \nAnalyzing Performance of ML Codes\nDay 1: Monday\, December 9th\, 2024\n\n\n\nTime\nTopic\nSpeaker\n\n\nOrganization\n\n\n9:00 – 9:05\nWelcome\nSandra Wienke (RWTH)\n\n\n9:05 – 9:20\nApplication for Compute Time at RWTH Aachen University\nTim Cramer (RWTH)\n\n\nPerformance Analysis of ML Codes\n\n\n9:20 – 9:50\nVerifying GPU Performance with the RWTH Job Monitoring\n* slides\n* recording of presentation (on YouTube)\nChristian Wassermann (RWTH)\n\n\n9:50 – 10:20\nCoffee Break\n\n\n10:20 – 11:20\nPerformance Analysis on GPUs with Nsight Systems\nFabian Berressem (NVIDIA)\n\n\nCode Activities (on-premise only)\n\n\n11:20 – 12:30\nCode Activities (BYO Code: Tuning with Experts)\n\n\n12:30 – 13:30\nLunch Break\n\n\n13:30 – 15:00\nCode Activities (BYO Code: Tuning with Experts)\n\n\n15:00 – 15:30\nCoffee Break\n\n\n15:30 – 17:30\nCode Activities (BYO Code: Tuning with Experts)\n\n\n\n\nScaling ML Codes across Multiple GPUs/ Nodes\nDay 2: Tuesday\, December 10th\, 2024\n\n\n\nTime\nTopic\nSpeaker\n\n\n9:00 – 9:05\nWelcome\nSandra Wienke (RWTH)\n\n\n9:05 – 9:15\nMulti-GPU Setup on CLAIX\n* slides\n* recording of presentation (on YouTube)\n* examples (see below)\nJannis Klinkenberg (RWTH)\n\n\n9:15 – 10:00\nUsing ‘PyTorch Distributed’\n(see examples below)\nFabian Berressem (NVIDIA)\n\n\n10:00 – 10:30\nUsing Tensorflow and Horovod\n* slides\n* recording of presentation (on YouTube)\n* examples (see below)\nJannis Klinkenberg (RWTH)\n\n\n10:30 – 11:00\nCoffee Break\n\n\nCode Activities (on-premise only)\n\n\n11:00 – 12:30\nCode Activities (BYO Code: Tuning with Experts)\n\n\n12:30 – 13:30\nLunch Break\n\n\n13:30 – 15:00\nCode Activities (BYO Code: Tuning with Experts)\n\n\n15:00 – 15:30\nCoffee Break\n\n\n15:30 – 17:30\nCode Activities (BYO Code: Tuning with Experts)\n\n\n\n\nHandling Datasets of ML Codes\nDay 3: Wednesday\, December 11th\, 2024\n\n\n\nTime\nTopic\nSpeaker\n\n\n9:00 – 9:05\nWelcome\nJannis Klinkenberg (RWTH)\n\n\n9:05 – 10:00\nStorage and I/O Options on CLAIX\n(see examples below)\nDominik Viehhauser (RWTH)\, Jannis Klinkenberg (RWTH)\n\n\n10:00 – 10:15\nCheckpointing of ML Codes\n(see examples below)\nDominik Viehhauser (RWTH)\n\n\n10:15 – 10:45\nCoffee Break\n\n\nCode Activities (on-premise only)\n\n\n10:45 – 12:30\nCode Activities (BYO Code: Tuning with Experts)\n\n\n12:30 – 13:30\nLunch Break\n\n\n13:30 – 15:00\nCode Activities (BYO Code: Tuning with Experts)\n\n\n15:00 – 15:30\nCoffee Break\n\n\n15:30 – 17:30\nCode Activities (BYO Code: Tuning with Experts)\n\n\n\n\nCourse Material\n\nExamples for all three days (zip archive)\nPlease find the slides linked in the agenda.\nYouTube playlist of available recordings\n\nSkills\nCourse level: beginner to intermediate \nTarget audience: \n\nML users\nML developers\n\nPrerequisites: \n\nBasic knowledge of GPU hardware architectures\nKnowledge of machine learning models (that are important for you)\nKnowledge of how to use those models\, e.g.\, with PyTorch or Tensorflow\nBasic knowledge of parallelism\n\nGained skills: \n\nKnowledge of automatic performance monitoring on the RWTH HPC cluster\nUsage of the Nsight Systems tool to analyze performance of GPU codes\nUsage of techniques to run ML codes on multiple GPUs or multiple nodes\nKnowledge of various data storage options and their advantages and disadvantages for ML codes\n\nSponsoring\nCatering is sponsored by \n\n\n\n\n\n\n\n\n​
URL:https://blog.rwth-aachen.de/itc-events/en/event/aixcelerate-2024/
CATEGORIES:aiXcelerate,HPC Events
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2022/09/NHR4CES_RGB.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20241219T140000
DTEND;TZID=Europe/Berlin:20241219T150000
DTSTAMP:20260416T020521
CREATED:20231227T091649Z
LAST-MODIFIED:20240617T112645Z
UID:6735-1734616800-1734620400@blog.rwth-aachen.de
SUMMARY:[:en]HPC Consultation Hour #39[:]
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 \nin cooperation with
URL:https://blog.rwth-aachen.de/itc-events/en/event/hpc-consultation-hour-39/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Consultation Hour,HPC Events
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
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