Participants will be introduced to AMD's Instinct GPU portfolio and ROCm software ecosystem. The course will introduce the configuration of an AMD-based ML environment, along with the use of TensorFlow and PyTorch frameworks in conjunction with AMD GPUs. Exercises for participants will provide hands-on experience with the basics of using ROCm tools. The content will also include an introduction to performance profiling tools for AMD GPUs.
This course provides training in distributed Machine Learning.
Article about the course.
After this course, participants will
Online course Organizer: HLRS, University of Stuttgart, Germany
21. Jan 2021 13:30
21. Jan 2021 18:30
Online
Englisch
Basis
Daten in HPC / Deep Learning / Maschinelles Lernen
Big Data
Deep Learning
Maschinelles Lernen
Zurück zur Liste
Familiarity with TensorFlow and Pytorch will be a plus. Tutorial to explore prior to the course: "Learn and use ML" section: www.tensorflow.org/tutorials, a "Deep Learning with PyTorch" section: pytorch.org/tutorials, and a Python tutorial. In suggested prereading (videos and resources below) you will find more AMD material.
Please make sure to have a functioning working environment and remote access for interactive portions of the training prior to the course. In case of questions, please contact the course organizer (see below).
Learn more about course curricula and content levels.
Derek Bouius (AMD), Will Wang (AMD), and Pak Lui (AMD)
This course will be provided using Microsoft Teams. All times are CET.
13:30 - 14:00 Login and Microsoft Teams setup
14:00 - 14:15 Welcome - HLRS, AMD
14:15 - 14:45 Instinct and ROCm product overview
14:45 - 15:30 ROCm basics
15:30 - 15:35 Pause
15:35 - 16:35 Machine learning with AMD GPUs
16:35 - 16:45 Pause
16:45 - 17:45 Additional ROCm topics
17:45 - 17:50 Pause
17:50 - 18:20 GPU performance profiling
18:20 - 18:30 Closing
Registration is closed.
If the course is full, then please register to the waiting list, so that we can inform you when we can provide a second run of this course.
This course is free of charge.
HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012. HLRS is also member of the Baden-Württemberg initiative bwHPC-C5. This course is not part of the PATC curriculum and is not sponsored by the PATC program.
This workshop is part of the collaboration between AMD and the Horizon-2020 Centre of Excellence EXCELLERAT. AMD is an EXCELLERAT Interest Group. See also the EXCELLERAT Service Portal for more information.
Rolf Rabenseifner phone 0711 685 65530, rabenseifner(at)hlrs.de Khatuna Kakhiani phone 0711 685 65796, kakhiani(at)hlrs.de Lorenzo Zanon phone 0711 685 63824, zanon(at)hlrs.de
http://www.hlrs.de/training/2021/DL2-AMD
https://www.hlrs.de/training/ and https://www.hlrs.de/training/overview/
März 10 - 12, 2025
