Position-Independent Code with GCC for ARM Cortex-M

Welcome to ‘Alice in Wonderland‘! For a university research project using an ARM Cortex-M33 we are evaluating position-independent code as way to load applications or part of it with a bootloader. It sounds simple: just add -fPIC to the compiler settings and you are done.

Unfortunately, it is not that simple. That option opened up a ‘rabbit hole’ with lots of wonderful, powerful and strange things. Something you might not have been aware of what could be possible with the tools you have at hand today. Leading to the central question: how is position-independent code going to work with an embedded application on an ARM Cortex-M?

Let’s find out! Let’s start a journey through the wonderland…

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Visual Studio Code for C/C++ with ARM Cortex-M: Part 7 – FreeRTOS

This is a new article in my series about using Microsoft Visual Studio Code: After installation, project setup, building, debugging, setting up a kit and IntelliSense. This one is about setting up and using FreeRTOS:

Microsoft Visual Studio Code with Debugging FreeRTOS application on ARM Cortex-M
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Placing Code in Sections with managed GNU Linker Scripts

Managed linker scripts are great on one side: the simplify the otherwise complex GNU linker script handling. On the other side it requires knowledge how to tweak them in case ‘non-standard’ behavior is needed.

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Visual Studio Code for C/C++ with ARM Cortex-M: Part 6 – IntelliSense

The previous parts were about installation, project setup, building, debugging and setting up a kit. This one is about setting up IntelliSense for Cross Development in Visual Studio Code which allows for browsing symbols or code completion:

Code Completion in Visual Studio
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SWO with ARM Cortex-M33

One major concern of embedded system development is performance. Microcontroller have more MHz than in the past, but embedded applications are all about timing and real-time aspects.

The challenge is: how to get data off the target in realtime? SWO can help with this….

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Full Bathroom Remodeling (with the Help of a 3D Printer)

This is about one of my ‘long running projects’: I happily can report that the missing last piece has been installed after 16 months from the start of the project: the ‘3D-Printed-Supported-Driftwood-Bath-Tub-Shower-Gel-Holder’ 🙂 :

This is the ‘official finish’ of a complete bathroom renovation and remodeling. It has been a joint project with the help of friends, contractors, my family and my brother in law (who is an outstanding carpenter and cabinetmaker), plus the Ultimaker2 3D printer which contributed many ‘background and hidden’ features.

I invite you to a virtual time travel. I hope you enjoy it and get inspired….

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Using FatFS and MinINI with the NXP LPC55S16 EVK

For a research project we selected the NXP LPC55S16 but because it has due the silicon shortage it is not available probably for the next 52 weeks (yikes!) we can use the EVK Board.

The FatFS file system from Elm Chan is the de-facto file system for many embedded systems. As such it comes integrated with silicon vendor SDKs like the NXP MCUXpresso SDK. The problem is that the SDK only has examples for things on the board, and because that board does not have a SD card socket, no example for using FatFS with an SDK card is provided :-(. So I had to create one, and you can get it from GitHub.

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Organizing Projects with Eclipse and Git

There are many ways to organize projects and workflows, and I would say Eclipse is flexible enough for everything. As I have been asked recently how I organize my projects, I’ll share it here.

Eclipse Workspace and Project Location with Git
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Visual Studio Code for C/C++ with ARM Cortex-M: Part 5 – ToolKit

The previous parts were about installation, project setup, building and debugging. This one is about defining the ‘tool kit’ so I can make use more of the CMake infrastructure in Visual Studio Code:

Tool Chain loaded in Visual Studio Code
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Visual Studio Code for C/C++ with ARM Cortex-M: Part 4 – Debug

The previous parts were about installation, project setup and building. This one is about debugging an ARM Cortex-M Microcontroller with Visual Studio Code:

Cortex-M4 (NXP K22FN512) Debugging with Visual Studio Code
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