https://indico.scc.kit.edu/event/668/overview
The goal of this workshop is to convey advanced knowledge in the area of machine learning and its practical application. In this context, practical exercises are solved with IBM PowerAI. The Power9 architecture has the advantage of increased memory bandwidth compared with the X86 one and allows for a high-performance connection to NVIDIA V100 GPUs via NVLink 2.0.
Concepts examined in the workshop include:
Data Preparation
Hardware Acceleration
Distributed Deep Learning
Large Model Support
Elastic Distributed Training
Auto Machine Learning (H2O Driverless AI)
Auto Deep Learning (PowerAI Vision)
Data Science in Enterprise Environments (processes, roles and software)
basics of programming, ideally python
rudimentary mathematical and statistical knowledge
The workshop will be held at Campus North in the SCC building 449. The best way to get there, is to take the KIT Shuttle, which starts at 08:00 or 08:30 at Campus South and stay until KIT-CN H5 "Karlsruher Allee". We will open the room in time for the people arriving with the earlier shuttle, but the workshop will really get going only, when the 08:30 shuttle arrives.