Workshop on Artificial IntelligenceThursday, December 06, 2018
10:00h to 16:30h IT Center, RWTH Aachen University,Kopernikusstrasse 6 / Seminarraum 003
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Introduction
Artificial intelligence (AI) technology like Machine learning (ML) and Deep learning (DL) are today more and more used to solve a wide range of use cases.
The HPC cluster at RWTH can be used for applications using various AI methods.
This workshop gave the participants an overview on AI covering different methods like classical ML and DL, and introduced the use of DL on (Intel) CPU based HPC cluster. The presentations were rounded-up by live demos.
Mr Stephan Gillich (Dir. AI and Technical Computing GTM EMEA, Intel Deutschland GmbH) and his colleagues Atanas Atanasov and Sarosh Quraishi (Technical Solution Specialists, Intel Deutschland GmbH) were complemented by experts from the HPC Team of the IT Center of RWTH Aachen University.
Agenda
- 10:00 – 10:45 Welcome, RWTH goals and specific interests (RWTH) – slides1, slides2
- 10:45 – 12:00 AI overview and deep learning frameworks on a cluster (Intel) – slides
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- We will cover a few fundamental things on AI and the various techniques like ML and DL and take a closer look at how we can help customers on their AI journey
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- 12:00 – 13:30: lunch break
- 13-30 – ~15:30: Faster ML and DL with optimised frameworks (Intel)
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- After first introducing libraries and tool for classical Machine Learning and Analytics and Deep Learning, we will mainly cover and demonstrate technical best practices for faster time to solution, including scale-out training leveraging the performance of multiple datacenter nodes – slides
- demo/hands-on – slides
- After first introducing libraries and tool for classical Machine Learning and Analytics and Deep Learning, we will mainly cover and demonstrate technical best practices for faster time to solution, including scale-out training leveraging the performance of multiple datacenter nodes – slides
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- 15:30 – 15:45 Coffee Break
- 15:45 – 16:30 Inference solutions. (Intel)
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- The Inference side of deep learning using an optimized framework setup including the OpenVINO™ (Open Visual Inference & Neural network Optimization) – slides
- The Inference side of deep learning using an optimized framework setup including the OpenVINO™ (Open Visual Inference & Neural network Optimization) – slides
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- 16:30 – 17:00 Q&A (all)
Prerequisites and your Preparation
Participants from RWTH Aachen University were welcome, but also participants from other universities or industrial companies.
The presentations were given in English.
Course Material
Welcome – C. Terboven (pdf, 0.7 MB)
Introduction – M. Widmer (pdf , 4MB)
Slides of the morning session (pdf, 6 MB)
Optimized-Frameworks (pdf, 4.7 MB)
Slides for the afternoon hands-on session (pdf, 1.5 MB)
OpenVINO-Deep-Dive (pdf, 1,7 MB)
Lab Sources (GigaMove Download Link to zip file (11 MB) – until Jan 24, 2019 ) expired!!
Registration
The seminar room is of limited capacity, therefore allocation is on a first come, first served basis.
The workshop was fully booked !
Please contact Paul Kapinos (hpcevent@itc.rwth-aachen.de) if you have trouble to port your application to the HPC Cluster.
The workshop was on December 06. 2018 from 10:00h to ~16:30h.
Attendance of the course was free of charge and supported by our sponsors. All other costs (e.g. travel, hotel) were at own expenses.
Links to other Tuning Events
- Nehalem Tuning Workshop 2009
- HPC Tuning Workshop 2010
- aiXcelerate – HPC Tuning Workshop 2011
- aiXcelerate – HPC Tuning Workshop 2012
- aiXcelerate – HPC Tuning Workshop 2013
- aiXcelerate – HPC Tuning Workshop 2014
- aiXcelerate – HPC Tuning Workshop 2015
- aiXcelerate – HPC Tuning Workshop 2016
- aiXcelerate – HPC Tuning Workshop 2017
- aiXcelerate – HPC Tuning Workshop 2018
Feedback
After the event we will ask you to provide your feedback. You will find a link to the web form here.
Travel Information
If required, please make your own hotel reservation.You can find some popular hotels listed here. You may find a complete list of hotels on the web pages of the Aachen Tourist Service. We recommend that you try to book a room in the “Novotel Aachen City“, ” Mercure am Graben” or “Aachen Best Western Regence” hotels. These are adequate hotels with reasonable prices at a walking distance (20-30 minutes) to the IT Center through the old city of Aachen. An alternative is the hotel “IBIS Aachen Marschiertor” which is close to the main station, which is convenient if you are travelling by train and also want to commute to the IT Center by train (3 trains per hour, 2 stops)
Trains between Aachen and Düsseldorf stop at “Aachen West” station which is a 5 minutes walk away from the IT Center.
From the bus stop and the train station just walk uphill the “Seffenter Weg”. The first building on the left hand side at the junction with “Kopernikusstraße” is the IT Center.
The weather in Aachen is usually unpredictable. It is always a good idea to carry an umbrella. If you’ll bring one, it might be sunny!
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