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)
1
Part 1: Get Set Up
5
Part 2: Sharpen Your Skills

Looking Ahead

The world is constantly moving forward, and the devices and development techniques that support our culture move forward with it. This book has covered the most critical subjects to develop quality Cortex-M software in late 2022. Technologies that enable smart, connected, and secure devices are increasing in demand as individuals, companies, and governments see the value such products bring. Accordingly, we as developers must refine our development processes to create devices at a faster pace, lower cost, and higher quality every year.

The desire for smart, connected, and secure devices is as widespread as it is new. Twenty years ago, the concept of the Internet of Things (IoT) existed in name only. Devices were not connected to the internet by default, security was largely an afterthought (outside of sensitive industries), and machine learning was implemented only in cutting-edge applications. In twenty more years, the embedded software development landscape may be...