2023-05-16 CANCELLED AI Training Series - Intel AI Workshop - Accelerated Deep Learning (hdta8s23)
Course | CANCELLED AI Training Series - Intel AI Workshop - Accelerated Deep Learning |
Number | hdta8s23 |
Available places | 96 |
Date | 16.05.2023 – 16.05.2023 |
Price | € 0.00 |
Location | HYBRID: ONLINE/LRZ Boltzmannstr. 1 85748 Garching near Munich |
Room | Kursraum 2 |
Registration deadline | 09.05.2023 23:59 |
education@lrz.de |
Contents
This workshop will concentrate on the latest developments in Deep Learning. Participants will explore the optimisations made to Deep Learning frameworks like Tensorflow and PyTorch, and how these optimisations are integrated into their stock versions. Additionally, attendees will learn how to use Intel extensions to enable extra features like mixed-precision and running on Intel dGPU, using Stable Diffusion as an example of how these optimisations can be beneficial. The workshop will also emphasise inference optimisation tools such as Intel Neural Compressor and OpenVINO, which leverage graph optimisations and/or quantisation to accelerate Deep Learning inference.
Introduction to AI and Intel Software for AI:
- A short history of AI
- Current status of Machine Learning and Deep Learning
- Latest development in Deep Learning
- Overview of Hardware and Software by Intel
Optimise the foundations of Deep Learning:
- Optimisations of the Deep Learning Frameworks
- Use mixed precision and Intel dGPU using the Intel Extensions
Optimise Stable Diffusion with Intel
An overview of Uncertainty Estimation techniques in AI
Introduction to Neural Network Optimisation Techniques
- Compression and Optimisation Techniques Using the Intel Neural Compressor
- Graph optimisations using OpenVINO
AI-driven multiphysics HPC applications on Intel architecture
Prerequisites
- Basic knowledge of Python
- AI Training Series: Orientation Session (or comparable previous knowledge)
Hands-On
There will be only demos.
Language
English
Lecturers
Intel AI experts
Prices and Eligibility
The course is open and free of charge for academic participants from Germany.
Registration
Please register with your official e-mail address to prove your affiliation.
Withdrawal Policy
See Withdrawal
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No. | Date | Time | Leader | Location | Room | Description |
---|---|---|---|---|---|---|
1 | 16.05.2023 | 10:00 – 16:00 | Johannes Albert-von der Gönna | HYBRID: ONLINE/LRZ | Kursraum 2 | Lecture |