Intel® Artificial Intelligence Workshop: Enhance Machine Learning Performance with Intel® Software Tools

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). Therefore it is crucial for the scientific community to incorporate these new tools in their workflows, in order to make full use of modern and upcoming data sets.

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

• 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

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

Basic knowledge of Python

Certificates of attendance for

• Introduction to GNU/Linux and the Shell (or comparable previous knowledge)
• Introduction to Working on Remote Systems with 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.

F. Baruffa (Intel®), Shailen Sobhee (Intel®), J. Albert-von der Gönna (LRZ)

Fabio Baruffa is a senior software technical consulting engineer at Intel. He provides customer support in the high performance computing (HPC) area and artificial intelligence software solutions at large scale. Prior to Intel, he has been working as HPC application specialist and developer in the largest supercomputing centers in Europe, mainly the Leibniz Supercomputing Centre and the Max-Plank Computing and Data Facility in Munich, as well as Cineca in Italy. He has been involved in software development, analysis of scientific code and optimization for HPC systems. He holds a PhD in Physics from University of Regensburg for his research in the area of spintronics devices and quantum computing.

Shailen Sobhee is a software Technical Consulting Engineer in the field of Artificial Intelligence at Intel. He is the link between the core engineering team and Intel's customers. As an AI consultant, Shailen assists and trains customers on how to use machine learning and deep learning frameworks that capitalize on highly-optimized mathematical libraries for best performance on Intel hardware. He holds a Master's degree in Computational Science and Engineering from the Technical University of Munich.

Slides 1

Slides 2

Labs

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