CANCELLED: Intel® AI HPC Workshop #2: Deep Learning Module
Date: | Thursday, April 16th, 2020, 13:30-17:00 |
---|---|
Location: | LRZ Building, Garching/Munich, Boltzmannstr. 1, LRZ Hörsaal |
Contents: |
The demand of using Deep Learning techniques in many scientific domains is rapidly emerging and the requirements for large compute and memory resources is increasing. One of the consequences is the need of the high-performance computing capability for processing and inferring the valuable information inherent in the data. The Leibniz Supercomputing Centre (LRZ) has recently installed its new high-end system, SuperMUC-NG. Based on Intel® technology, it targets among others also workloads at the crossroads of AI and HPC. In this session you will learn various optimization methods to improve the runtime performance of Deep Learning algorithms on Intel® architecture. We cover how to accelerate the training of deep neural networks with TensorFlow, thanks to the highly optimized Intel® Deep Neural Network Library (DNNL). We also demonstrate techniques on how to leverage deep neural network training on multiple nodes on an HPC cluster. Schedule:
14:30 – 15:00 Hands On Session
15:00-15:15 Coffee Break 15:15-16:30 Deep Learning – Optimized inference instances
15:30 - 17:00 Hands On Session
|
Prerequisites: |
Basic knowledge of Python. Certificates of attendance for
All participants are expected to bring their own laptops. |
Language: | English |
Contact: |
J. Albert-von der Gönna (LRZ) Trainers will be announced soon. |
Registration: | Via the LRZ registration form. Please choose course HIDL1S20. |
Material: | available soon |