CANCELLED: 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:

• 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.

Certificates of attendance for

• Introduction to GNU/Linux and SSH (or comparable previous knowledge)
• at least one of Introduction to the LRZ HPC Infrastructure or Introduction to the LRZ Compute Cloud (or comparable previous knowledge)
• Using Python at LRZ (or comparable previous knowledge)

All participants are expected to bring their own laptops.

J. Albert-von der Gönna (LRZ)