This course will introduce the AMD's Instinct™ GPU portfolio and its architecture as the ROCm™ software for Machine Learning including AMD AI performance tools for Multi-GPU and FPGA environment. A brief recap on concepts in ML and AMD AI tools will be complemented with the hands-on exercises in Natural Language Processing, Computer vision etc. application areas, both for training and inference workloads.
Article about the course in 2021.
After this course, participants will
Online course Organizer: HLRS, University of Stuttgart, Germany
Sep 26, 2022 09:30
Sep 27, 2022 16:00
Online
English
Basic
Data in HPC / Deep Learning / Machine Learning
Artificial Intelligence
Big Data
Deep Learning
Machine Learning
Back to list
Familiarity with TensorFlow and Pytorch will be a plus. 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.
Adil Lashab, Essam Morsi, Philipp Samfass and Jens Stapelfeldt (AMD).
All times are CEST.
Day 1
9:30 - 10:00 Drop in to Zoom
10:00 - 16:00 Machine Learning with AMD GPUs and ROCm Software
Day 2
This course is already fully booked.
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.
This course is also provided within the framework of the bwHPC training program. This course is not part of the PATC curriculum and is not sponsored by the PATC program.
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/2022/DL-AMD
See the training overview and the Supercomputing Academy pages.
March 10 - 12, 2025
