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piOS: Tipping my toes into baremetal programming

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piOS is the still ongoing result of me going through various online tutorials about baremetal coding on the Pi, which you can check out in the list below (see here). I'm stepping into the world of embedded software development with almost zero prior experience, and unfortunately, my university days didn't touch on this domain. This project is purely a hobby, sparked by a desire to dip my toes into the world of embedded systems.

What is the end goal? To be honest, I don't know yet. The things that I would like to get working but are not yet:

  • Filesystem: I don't want to continue to compile everything I need into the kernel. There is a SD card so let's use it.
  • Bluethooth: Would be nice to connect an external keyboard or something like this? I have no idea how hard this is.
  • TCP/IP stack: Would be fun to try to get it connected to the internet.

Notes

Honestly, if you are interested in baremetal programming, you can probably use any of the below projects as a starting point. Since I don't believe there is one perfect source for the relevant topics, here is a short summary of what I have been following, reading, and using as template along the way. I'd like to make clear that a good chunk of the code in this repository is almost 1-to-1 from the below projects. The goal here was not to create something new (at least not yet), but rather use the code from these projects to explore how things work, what you can do with it, and of course also what potential pitfalls are. I changed some things were I found it appropriate (building the project, structure of the code, documentation, etc.).

One thing that I haven't mentioned so far, but was basically open the whole time, is the documentation of the SoC, Broadcom 2835/2837.

How to build the project?

The tricky part for this project is the compiler. Since we are writing code that is supposed to run on an ARM processor, you will need the corresponding compiler. All compilers to build for ARM CPU's can be found on ARM's website. You will most probably have to cross-compile (x86->arm) and you will need to be careful if you are compiling the kernel for a 32-bit or a 64-bit CPU (arm-none-eabi vs aarch64-none-elf). The CMakeLists.txt file has all the logic needed to handle which compiler to pick depending on the Raspberry Pi Model you want to compile this code for (just make sure they are installed and in the $PATH). You will find in the top-level CMakeLists.txt file a variable that's called MODEL_X, where X can be [0,1,2,3,4]. MODEL_3 and MODEL_4 have a 64bit CPU and thus need the aarch64 compiler.

Note: This project was started with a 32bit board (Pi 0) and thus most of the code was initially written with the ARMv6 architecture in mind. For example, the entire memory management code was written with ATAGS (ARM Tags) in mind, which where replaced by DTB's (device tree blob's) in ARMv8-a and would thus need a refresh. I will do this at some point, but for now I will focus more on exploring some of the capabilities of the 32bit version of the board. In short, the 64bit boards have a lot less functionality compared to the 32bit boards with this kernel as of now.

Once you have all of this setup, you should be able to simply cd into the root of this repo and run (assuming you have cmake and ninja-build installed on your system)

cmake -G Ninja -B ./build -S .
cmake --build ./build

or you can use Docker

DOCKER_BUILDKIT=1 docker build --progress=plain -f Dockerfile --rm -t pi_os:latest . --output ${PATH_TO_WHERE_YOU_WANT_THE_ELF_AND_IMG}

How to run the kernel?

While the ultimate goal of course is to run the kernel on a Pi, for development it is useful to also run it in qemu. For the 32-bit version you can use

# ARMv6 / 32 bit
qemu-system-arm -M raspi0 -serial null -serial stdio -kernel $PATH_TO_ELF/kernel.elf
# ARMv8-a / 64 bit
qemu-system-aarch64 -M raspi3b -serial null -serial stdio -kernel $PATH_TO_ELF/kernel7.elf

Note: To run the code with qemu you use the .elf, i.e. the full executable. If you want to test the kernel out on a real Raspberry Pi, then you need to move the .img file onto the SD card.

How to generate documentation?

To generate the documentation you can run

doxygen .doxyfile

Please make sure to install doxygen and graphviz.