Embedded for AMD (Adaptive) SoCs & MPSoCs

NEW | Easy Start ML Application Design Flow

Easy Start

With the application of Machine Learning becoming a common task in consumer appliances as well as in common equipment in the factory field, easily adding such features into advanced products becomes a key element of modern system design flows.

With this course, we utilize Vitis™ AI as a concept to apply own neural network solutions within the FPGAs and embedded architectures of AMD adaptive SoCs. A hands-on review of the basics of neural networks in image processing determines the benefits of inference acceleration. Choosing an application focused approach to derive the requirements of complex neural networks, the acceleration of such massive computation is achieved by means of the Deep Learning Processing Unit (DPU) as a common IP target architecture for any AMD Adaptive SoC family. To map out trained CNNs on platforms with DPUs the Vitis™ AI toolkit is introduced as a powerful tool to translate from various ML toolkits such as PyTorch and TensorFlow. This mapping process quantizes the original float data into efficient fix point representations as used in the DPUs. To run the model operators on the target, the AI compiler creates an executable that can be called from any host application, which may be programmed in Python or C/C++.

To give an overview of the wide range of readily available deployment variants, we will work with the Vitis™ AI library and discuss the supporting pre- and post-processing approaches. Such computational blocks can also be mapped in hardware or computed within the embedded application itself. A final look into the generation of custom platforms using the DPU provides further insight to give a starting point for the own designs.

Course language: German (English possible on request)

Book workshop

Contact

Michael Schwarz

+49 7664 91313-15

michael.schwarz@plc2.de

Details

Applicable technologies

AMD adaptive SoCs

Requirements

Basic knowledge of Python

Duration

2 days

Fee (net per person)

€ 1,700

Inclusive

Training material
Beverages during breaks
Lunch

Agenda

Review of neural networks and deep learning

ML modeling frameworks

Training and inference

Deep Learning Processing Unit in adaptive SoCs platform

Vitis™ AI - quantization and compilation for DPU targets

Embedded applications with DPU-based ML accelerators

Vitis™ AI libraries

Creating a Vitis™ embedded acceleration platform

Dates

NEW | Easy Start ML Application Design Flow

Stuttgart

Oct 23, 2024

Book now

NEW | Easy Start ML Application Design Flow

Munich

Dec 05, 2024

Book now

Available formats for this training

NEW | Easy Start ML Application Design Flow

2 days

€ 1,700

Easy Start

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How can we help?

Contact

Call PLC2

+49 7664 91313-15

Send an e-mail

michael.schwarz@plc2.de

FAQ

01. Can you help me with reserving the room?

If you need a room for a face-to-face course, please contact us. We will support you in choosing suitable accommodation.

02. What times in the day do courses start and end?

Our face-to-face courses start daily at 9 a.m. (CET/CEST) and end at 5 p.m., with two coffee breaks and an extended lunch break. The total course time per day is 6 hours. For online courses, the start is also at 9 a.m. (CET/CEST), but they end at 2:30 p.m.. The total course time per day is 4 and a half hours plus breaks.

03. Are course materials provided?

All participants of paid courses will receive English training materials in electronic or paper form.

04. Will I receive a course certificate?

Each participant of a paid PLC2 course will receive a signed certificate of attendance at the end of the course.

05. Can I pay with Training Credits (TCs)?

Of course, you can also pay for your training using your available TCs (Training Credits). We will then invoice AMD directly. If you do not have sufficient credit for the booked training, the difference can be paid for with an additional payment. The additional charge will be invoiced directly to you.

06. What are the options for payment?

You can pay us via bank transfer or with TCs (Training Credits). Unfortunately, payment via debit, credit card, or PayPal is not possible.

07. What is the deadline for payment?

Payment is due 14 days after the invoice date, without deduction. Please transfer the amount within that time.

08. What are the options for cancelling?

You can cancel free of charge up to 14 days before the course starts. If you have to cancel at short notice due to illness or other reasons, you have the option of adding a substitute participant or of making up the course at a later date (within 6 months).

09. When will I receive a firm commitment as to whether the course will take place?

You will receive binding confirmation 7 days before the course begins as to whether it will go ahead.

10. How many participants are required for a course to be given/what is the minimum number of participants?

We generally offer courses for 5 or more people. That means that if you would like to book a course at your premises, you need 5 people to register or need to pay the amount for 5 participants, even if fewer people attend.

11. Can I book a course that is given in English?

If you need a course that is officially advertised as given in German to be given in English, please contact us. We will try to make that possible for you.

12. What language is the course in?

Our webinars and online courses are conducted in English. All our F2F training courses are generally conducted in German. Feel free to contact us if you need face-to-face training in English or online training in German.