Seminar

In the frames of the seminar, participants will learn about the tools for machine and deep learning at modern Intel architectures. There will be a short theoretical introductory lecture on Intel solutions for artificial intelligence and a workshop on using neuron network with Intel® optimized DL Frameworks as well as on distributed training of neural networks on platforms with Intel Xeon Scalable 2nd generation.
Seminar is organized by the LIT Group for Heterogeneous Computing and the Intel and RSC companies.
Programme of the seminar:
2:00-2.30 PM – Introductory lecture: “What machine learning can do at the moment. The role of supercomputers. Theoretical introduction to models, problems, and basic algorithms of machine and deep learning.”
Speakers: Oksana Streltsova (JINR LIT), Igor Odintsov (RSC), Alexey Stadnik (LIT JINR)
2:30-3:15 PM – Lecture: “Intel solutions for tasks of artifical intelligence”
Speaker: Dmitry Sivkov (Intel)
3:15-3:30 PM – Lecture: “DL Boost neural network computing acceleration on Intel Xeon Scalable 2nd generation platforms (Cascade Lake)”
Speaker: Dmitry Sivkov (Intel)
3:30-4:00 PM – Coffeebreak
4:00-5:00 PM – Workshop: “Application of neural networks with Intel optimized DL Frameworks, quantization for int8”
Speaker: Dmitry Sivkov (Intel)
5:00-6:00 PM – Workshop: “Distributed training of neural networks on platforms with Intel Xeon Scalable 2nd generation (Cascade Lake)”
Speaker: Dmitry Sivkov (Intel)