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Mastering Embedded Linux Programming

Mastering Embedded Linux Programming

By : Frank Vasquez, Chris Simmonds
4.6 (23)
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Mastering Embedded Linux Programming

Mastering Embedded Linux Programming

4.6 (23)
By: Frank Vasquez, Chris Simmonds

Overview of this book

If you’re looking for a book that will demystify embedded Linux, then you’ve come to the right place. Mastering Embedded Linux Programming is a fully comprehensive guide that can serve both as means to learn new things or as a handy reference. The first few chapters of this book will break down the fundamental elements that underpin all embedded Linux projects: the toolchain, the bootloader, the kernel, and the root filesystem. After that, you will learn how to create each of these elements from scratch and automate the process using Buildroot and the Yocto Project. As you progress, the book will show you how to implement an effective storage strategy for flash memory chips and install updates to a device remotely once it’s deployed. You’ll also learn about the key aspects of writing code for embedded Linux, such as how to access hardware from apps, the implications of writing multi-threaded code, and techniques to manage memory in an efficient way. The final chapters demonstrate how to debug your code, whether it resides in apps or in the Linux kernel itself. You’ll also cover the different tracers and profilers that are available for Linux so that you can quickly pinpoint any performance bottlenecks in your system. By the end of this Linux book, you’ll be able to create efficient and secure embedded devices using Linux.
Table of Contents (27 chapters)
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1
Section 1: Elements of Embedded Linux
10
Section 2: System Architecture and Design Decisions
18
Section 3: Writing Embedded Applications
22
Section 4: Debugging and Optimizing Performance

ZeroMQ

Sockets, named pipes, and shared memory are the means by which inter-process communication take place. They act as the transport layers for the message passing process that makes up most non-trivial applications. Concurrency primitives such as mutexes and condition variables are used to manage shared access and coordinate work between threads running inside the same process. Multithreaded programming is notoriously difficult, and sockets and named pipes come with their own set of gotchas. A higher-level API is needed to abstract the complex details of asynchronous message passing. Enter ZeroMQ.

ZeroMQ is an asynchronous messaging library that acts like a concurrency framework. It has facilities for in-process, inter-process, TCP, and multicast transports, as well as bindings for various programming languages, including C, C++, Go, and Python. Those bindings, along with ZeroMQ's socket-based abstractions, allow teams to easily mix programming languages within the same...

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