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DTSTART;TZID=UTC:20250414T093000
DTEND;TZID=UTC:20250613T170000
DTSTAMP:20260416T052223
CREATED:20250226T193708Z
LAST-MODIFIED:20250226T193733Z
UID:2925-1744623000-1749834000@eurocc-netherlands.nl
SUMMARY:Command Line and DelftBlue Basics
DESCRIPTION:CLI101: Unlock the Power of Linux and DelftBlue\nAre you ready to dive into the world of Linux and high-performance computing? Whether you’re a complete beginner or looking to sharpen your skills\, this one-day course is designed to give you a solid foundation in using the Linux command line and shell environment\, with a special focus on utilizing the power of our DelftBlue supercomputer. \nWhat You’ll Learn\n\nLinux Command Line Basics: Start from scratch and learn the essential commands and techniques to navigate and manipulate the Linux shell environment.\nFile Management: Understand how to create\, move\, and modify files and directories\, crucial for efficient workflow.\nScripting Fundamentals: Gain a hands-on introduction to shell scripting to automate tasks and improve efficiency.\nHigh Performance Computing (HPC): Learn how to apply your new skills to access and use DelftBlue.\n\n\n \n\n\nMany thanks for an excellent session! After today\, DelftBlue is not a black box for me anymore. \n― Claudiu Forgaci \, Assistant Professor of Urban Design \n\n\n\n \nWhy You Should Join\n\nMaster the Linux Command Line: Learn to navigate\, manage\, and optimize Linux systems like a pro—skills that are essential for any tech-driven career.\nHarness HPC with SLURM: Discover how to run complex computations on supercomputers using SLURM\, the industry-standard workload manager trusted by researchers worldwide.\nHands-on learning: Interactive sessions with real-world examples.\nNo Experience? No Problem! This course is perfect for newcomers to Linux and HPC. We start from the basics and guide you step-by-step to confidently running your programs on DelftBlue.\n\n\n \nProgramme\n09:30 – 09:45 Introduction\n09:45 – 10:45 Part 1: Basic file operations and file editing\n10:45 – 11:00 Break\n11:00 – 12:30 Part 2: Working with remote systems \n12:30 – 13:30 Lunch \n13:30 – 14:30 Part 3: Creating scripts\n14:30 – 14:45 Break\n14:45 – 17:00 Part 4: Install and run your own scripts on a remote system \nOne day course \n25 max. participants \nTeachers:\nJ. Wallaart\nD. Palagin \nCosts:\n€50\,- \n€25\,- for BSc and MSc students. \nincluding lunch and course materials\, free for DCSE members. \nLocation:\nPenguinlab\, EWI B36.HB.2.130 \nPrerequisites:\nBasic knowledge and experience with handling files in Windows explorer or MacOS finder is assumed. \nNote:\nThis course is organized in the computer lab of the Mathematics department. You will log in to a prepared environment that contains all files needed for the in-class exercises. \n(Running Linux on your own laptop is much encouraged\, but you cannot use your own equipment for this course.) \n\nSign up
URL:https://eurocc-netherlands.nl/calendar/command-line-and-delftblue-basics/
LOCATION:TU Delft Library\, Prometheusplein 1\, Delft\, Netherlands
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250612T093000
DTEND;TZID=UTC:20250612T170000
DTSTAMP:20260416T052223
CREATED:20250226T195125Z
LAST-MODIFIED:20250226T195149Z
UID:2937-1749720600-1749747600@eurocc-netherlands.nl
SUMMARY:Machine learning using PyTorch on DelftBlue
DESCRIPTION:Sign upThis course introduces machine learning on the DelftBlue supercomputer\, blending theory with hands-on practice. Participants will learn to manage dependencies\, handle large datasets\, optimize GPU performance\, and scale deep learning models using PyTorch. \nAt the end of the day\, you should be able to \n– Understand the basic setup of a supercomputer and identify bottlenecks in ML applications.\n– Run PyTorch examples on CPUs and GPUs on DelftBlue\, assessing performance and resource requirements.\n– Optimize workflows to efficiently utilize a single GPU\, including LLM examples.\n– Scale a deep learning workflow for distributed training across GPUs. \n## Prerequisites\n– Python\n– Command line and DelftBlue basics\n– Experience with machine learning workflows (e.g.\, PyTorch) \n## Content level \n– 30% Beginner (Connecting to DelftBlue\, dependency management\, basics of Slurm)\n– 50% Intermediate (Handling datasets\, optimizing ML workflows)\n– 20% Advanced (Large models on small GPUs\, scaling with Fabric) \nOne day course \n30 max. participants \nTeachers:\nA. Ahmed\nS. Wacker \nCosts:\n€100\,- \n€25\,- for BSc and MSc students. \nincluding lunch and course materials\, free for DCSE members. \nLocation:\nPenguinlab\, EWI B36.HB.2.130 \nPrerequisites:\nCommand line and DelftBlue basics\nPython\nBasic knowledge of ML algorithms \nNote:\nThis course is organized in the computer lab of the Mathematics department. Exercises will be carried out on DelftBlue.\nYou can either bring your own laptop or use one of the lab computers as a terminal.
URL:https://eurocc-netherlands.nl/calendar/machine-learning-using-pytorch-on-delftblue/
LOCATION:TU Delft Library\, Prometheusplein 1\, Delft\, Netherlands
CATEGORIES:Training
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250612T130000
DTEND;TZID=UTC:20250612T170000
DTSTAMP:20260416T052223
CREATED:20250512T190043Z
LAST-MODIFIED:20250512T190336Z
UID:3164-1749733200-1749747600@eurocc-netherlands.nl
SUMMARY:Introduction to Deep Learning
DESCRIPTION:Would you like to learn the theoretical and practical basics about Deep Learning? \n\n\n\n\n\nSign up\n\n\n\n\n\n\nIn the course\, you’ll learn how deep neural networks work and how they are optimised. During our hands-on sessions you will have the opportunity to work on our high-performance systems and train neural networks to solve an image classification problem. We’ll cover various neural network architectures: from a basic fully connected network\, to a convolutional neural network and variational auto-encoders (time permitting). \nWhat you will learn\nIn this course you will learn to \n\nUnderstand how a neuron and neural network works\nUnderstand how a neural network is trained\nExplore the effect of hyperparameters on neural network performance\nWork with a high-level machine learning API (Keras)\n\nFor whom\nEveryone interested in deep learning\, but with no (or little) current experience & knowledge. \nTopics\n\nNeural network: basics\n\nHow does a neuron work?\nFully connected networks\nTraining/optimising a neural network\n\n\nConvolutional neural networks (CNNs)\n(Variational) Auto-Encoders\n\nPrerequisites\n\nPython\nBasics of linear algebra\nBasic statistics\n\n\n\n\n\n\n\n\n\nSign up now Introduction to Deep Learning\n\n\n\n\n\n12 Jun 2025\n\n13:00–17:00\n\nAmsterdam Science Park\, Building LAB 42\, Room L3.36
URL:https://eurocc-netherlands.nl/calendar/introduction-to-deep-learning-3/
LOCATION:Amsterdam Science Park\, Science Park 904\, Amsterdam\, 1098XH\, Netherlands
CATEGORIES:Training
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