ONLINE: Intel® AI HPC Workshop #1: Machine Learning Module

The use of data analytics techniques, such as Machine Learning and Deep Learning, has become the key for gaining insight into the incredible amount of data generated by scientific investigations (simulations and observations). It is crucial for the scientific community to incorporate these new tools in their workflows to take advantage of these increasingly large and complex datasets.

In this workshop we will provide an overview on the most known machine learning algorithms for supervised and unsupervised learning. With small example codes we show how to implement such algorithms using the Intel^® Distribution for Python*, and which performance benefit can be obtained with minimal effort from the developer perspective.

Schedule:

9:00 - 10:30

• Deep Learning 101 – Introduction to Convolutional Neural Networks with TensorFlow
• Intel’s Hardware and Software directions for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)
• Hardware Accelerated Deep Learning instructions and implementations
• DL Boost
• VNNI instructions

10:30 - 11:00 Coffee break

11:00 - 12:30 Hands On Session

• Performance optimized Python
  • Hands-on Labs with Python focus on Classical Machine Learning examples and algorithms
  • Distributed Machine Learning with Daal4py

Basic knowledge of Python

Participation (or comparable previous knowledge) in

• Introduction to GNU/Linux and SSH
• Introduction to the LRZ HPC Infrastructure

Ravi Panchumarthy (Intel®), G Anthony Reina (Intel®)

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