Book Image

The Insider's Guide to Arm Cortex-M Development

By : Zachary Lasiuk, Pareena Verma, Jason Andrews
Book Image

The Insider's Guide to Arm Cortex-M Development

By: Zachary Lasiuk, Pareena Verma, Jason Andrews

Overview of this book

Cortex-M has been around since 2004, so why a new book now? With new microcontrollers based on the Cortex-M55 and Cortex-M85 being introduced this year, Cortex-M continues to expand. New software concepts, such as standardized software reuse, have emerged alongside new topics including security and machine learning. Development methodologies have also significantly advanced, with more embedded development taking place in the cloud and increased levels of automation. Due to these advances, a single engineer can no longer understand an entire project and requires new skills to be successful. This book provides a unique view of how to navigate and apply the latest concepts in microcontroller development. The book is split into two parts. First, you’ll be guided through how to select the ideal set of hardware, software, and tools for your specific project. Next, you’ll explore how to implement essential topics for modern embedded developers. Throughout the book, there are examples for you to learn by working with real Cortex-M devices with all software available on GitHub. You will gain experience with the small Cortex-M0+, the powerful Cortex-M55, and more Cortex-M processors. By the end of this book, you’ll be able to practically apply modern Cortex-M software development concepts.
Table of Contents (15 chapters)
Part 1: Get Set Up
Part 2: Sharpen Your Skills

Measuring dot product performance

Now that we know how to measure the cycle count of an important section of code, let’s give it a try by measuring the dot product performance on the Raspberry Pi Pico. We will look at multiple implementations of the dot product and experiment with compiler optimizations to see how the implementation of the dot product impacts performance.

Using the Raspberry Pi Pico

Often, a project already has a Cortex-M microcontroller chosen, which cannot be changed. In this case, the best system performance can be obtained using a combination of changes to the source code algorithms and the compiler optimization levels. In some cases, the compiler itself can also be changed (though this is often predetermined for projects).

In this section, we take the dot product example and create three different implementations with different source code and then use the compiler options to check the impact on performance. As the Cortex-M0+ in the Raspberry...