onyx/README.md

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2020-01-25 20:49:11 +00:00
# `cortex-m-quickstart`
> A template for building applications for ARM Cortex-M microcontrollers
This project is developed and maintained by the [Cortex-M team][team].
## Dependencies
To build embedded programs using this template you'll need:
- Rust 1.31, 1.30-beta, nightly-2018-09-13 or a newer toolchain. e.g. `rustup
default beta`
- The `cargo generate` subcommand. [Installation
instructions](https://github.com/ashleygwilliams/cargo-generate#installation).
- `rust-std` components (pre-compiled `core` crate) for the ARM Cortex-M
targets. Run:
``` console
$ rustup target add thumbv6m-none-eabi thumbv7m-none-eabi thumbv7em-none-eabi thumbv7em-none-eabihf
```
## Using this template
**NOTE**: This is the very short version that only covers building programs. For
the long version, which additionally covers flashing, running and debugging
programs, check [the embedded Rust book][book].
[book]: https://rust-embedded.github.io/book
0. Before we begin you need to identify some characteristics of the target
device as these will be used to configure the project:
- The ARM core. e.g. Cortex-M3.
- Does the ARM core include an FPU? Cortex-M4**F** and Cortex-M7**F** cores do.
- How much Flash memory and RAM does the target device has? e.g. 256 KiB of
Flash and 32 KiB of RAM.
- Where are Flash memory and RAM mapped in the address space? e.g. RAM is
commonly located at address `0x2000_0000`.
You can find this information in the data sheet or the reference manual of your
device.
In this example we'll be using the STM32F3DISCOVERY. This board contains an
STM32F303VCT6 microcontroller. This microcontroller has:
- A Cortex-M4F core that includes a single precision FPU
- 256 KiB of Flash located at address 0x0800_0000.
- 40 KiB of RAM located at address 0x2000_0000. (There's another RAM region but
for simplicity we'll ignore it).
1. Instantiate the template.
``` console
$ cargo generate --git https://github.com/rust-embedded/cortex-m-quickstart
Project Name: app
Creating project called `app`...
Done! New project created /tmp/app
$ cd app
```
2. Set a default compilation target. There are four options as mentioned at the
bottom of `.cargo/config`. For the STM32F303VCT6, which has a Cortex-M4F
core, we'll pick the `thumbv7em-none-eabihf` target.
``` console
$ tail -n6 .cargo/config
```
``` toml
[build]
# Pick ONE of these compilation targets
# target = "thumbv6m-none-eabi" # Cortex-M0 and Cortex-M0+
# target = "thumbv7m-none-eabi" # Cortex-M3
# target = "thumbv7em-none-eabi" # Cortex-M4 and Cortex-M7 (no FPU)
target = "thumbv7em-none-eabihf" # Cortex-M4F and Cortex-M7F (with FPU)
```
3. Enter the memory region information into the `memory.x` file.
``` console
$ cat memory.x
/* Linker script for the STM32F303VCT6 */
MEMORY
{
/* NOTE 1 K = 1 KiBi = 1024 bytes */
FLASH : ORIGIN = 0x08000000, LENGTH = 256K
RAM : ORIGIN = 0x20000000, LENGTH = 40K
}
```
4. Build the template application or one of the examples.
``` console
$ cargo build
```
## VS Code
This template includes launch configurations for debugging CortexM programs with Visual Studio Code located in the `.vscode/` directory.
See [.vscode/README.md](./.vscode/README.md) for more information.
If you're not using VS Code, you can safely delete the directory from the generated project.
# License
This template is licensed under either of
- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or
http://www.apache.org/licenses/LICENSE-2.0)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)
at your option.
## Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted
for inclusion in the work by you, as defined in the Apache-2.0 license, shall be
dual licensed as above, without any additional terms or conditions.
## Code of Conduct
Contribution to this crate is organized under the terms of the [Rust Code of
Conduct][CoC], the maintainer of this crate, the [Cortex-M team][team], promises
to intervene to uphold that code of conduct.
[CoC]: https://www.rust-lang.org/policies/code-of-conduct
[team]: https://github.com/rust-embedded/wg#the-cortex-m-team