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Hands-On RTOS with Microcontrollers

You're reading from Hands-On RTOS with Microcontrollers Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools

Product type Paperback

Published in May 2020

Publisher Packt

ISBN-13 9781838826734

Length 496 pages

Edition 1st Edition

Tools

Embedded Systems

Concepts

Embedded Systems

Author (1):

Brian Amos

View More author details

Table of Contents (24) Chapters

Preface

1. Section 1: Introduction and RTOS Concepts

2. Introducing Real-Time Systems FREE CHAPTER

3. Understanding RTOS Tasks

4. Task Signaling and Communication Mechanisms

5. Section 2: Toolchain Setup

6. Selecting the Right MCU

7. Selecting an IDE

8. Debugging Tools for Real-Time Systems

9. Section 3: RTOS Application Examples

10. The FreeRTOS Scheduler

11. Protecting Data and Synchronizing Tasks

12. Intertask Communication

13. Section 4: Advanced RTOS Techniques

14. Drivers and ISRs

15. Sharing Hardware Peripherals across Tasks

16. Tips for Creating a Well-Abstracted Architecture

17. Creating Loose Coupling with Queues

18. Choosing an RTOS API

19. FreeRTOS Memory Management

20. Multi-Processor and Multi-Core Systems

21. Troubleshooting Tips and Next Steps

22. Assessments

23. Other Books You May Enjoy

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Chapter 15

False.
False.
There are five implementations: heap_1.c through heap_5.c.
vApplicationStackOverflowHook and vApplicationMallocFailedHook.
MPU stands for Memory Protection Unit. It is used to guard against illegal memory access, especially as a way to partition tasks so they are only allowed access to their own memory space.

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Authors (1)

Brian Amos

Brian Amos

Brian Amos is an embedded system engineer who has been programming with FreeRTOS since 2012. He is currently a senior firmware engineer in the telecom industry creating embedded systems used in ground stations for satellite communication. In the past, he led a team of engineers creating a flexible architecture to rapidly develop high-precision laboratory test equipment. Prior to this, he worked with early mesh networked energy harvesting sensors used to help predict when industrial machinery needed maintenance.

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