The intersection of AI and embedded systems represents a frontier of technological innovation. With the exponential growth in IoT devices and the advancement of AI models, there is a pressing need for professionals who can effectively deploy AI in resource-constrained environments. The goal of this tutorial is to present a low-code end-to-end workflow in an interactive hands-on format.
The tutorial focuses on design, optimization, and deployment of AI algorithms on Arm processors, typically used in powerconscious embedded devices. Using MATLAB, participants will learn to start from a high-level algorithmic design, optimize it, and auto-generate optimized C code. Arm IP Explorer complements this by offering the detailed insights into the performance metrics. This synergy allows for easy fine-tuning of applications to achieve performant solutions using reliable benchmarks.
The tutorial will engage in practical exercises, such as applying the end-to-end MATLAB workflow on curated dataset and collecting cycle-accurate runtime metrics from simulations in the Arm IP Explorer
Hardware and Software Requirements To participate in the workshop, you need:
- A laptop
- Google Chrome browser
- A MathWorks account
- Arm account
You will be provided with a temporary MATLAB workshop license that will give you access to all products used in the workshop, as well as the workshop exercise files.
If you don’t have an Arm account, you need to create one to get access to Arm IP Explorer and use the material for this event. You will need access to your email on the machine you are using to create the account. Navigate to this address in Google Chrome: https://ipexplorer.arm.com/login and click Register to register for an Arm account.
Congratulations! You are all set up to join us on the hands-on workshop! Have fun!