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xous-core/kernel
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bunnie fdbbe8d63d move MinSet to utils so that we can test it 
thought it would be a good idea to have a unit test for
the MinSet routine (which is used to renormalize the swap
epoch when it overflows). Turns out that was...complicated...
because of the usual problems of test running on host and
the inability to pull through hardware dependencies.
2024-05-18 00:22:50 +08:00
..
bin add the .a artifacts to the tree for the asm.S 2024-01-06 16:41:40 +08:00
src move MinSet to utils so that we can test it 2024-05-18 00:22:50 +08:00
assemble.ps1 kernel: asm: align kernel stack to 16 bytes 2023-12-29 18:15:48 +08:00
assemble.sh kernel: asm: align kernel stack to 16 bytes 2023-12-29 18:15:48 +08:00
build.rs ok, format the kernel now that all in-line assembly has been checked 2024-01-14 19:27:14 +08:00
Cargo.toml add test and debug deps/features 2024-05-18 00:22:23 +08:00
link.x add an "endcap" to the kernel region 2023-01-17 23:07:05 +08:00
README.md

README.md

Xous Kernel

This contains the core kernel for Xous. It requires a stage 1 loader in order to start up, as it assumes the system is already running in Supervisor mode.

Building

To build the kernel, you will need a riscv32 target for Rust. Possible targets include riscv32i-unknown-none-elf, riscv32imac-unknown-none-elf, or riscv32imac-unknown-xous-elf.

  1. Decide what target you want. For simple, embedded systems this could be riscv32i-unknown-none-elf, and for more complex systems with compressed instructions you could use riscv32imac-unknown-none-elf.
  2. Get Rust. Go to https://rustup.rs/ and follow its instructions.
  3. Install the proper toolchain: rustup target add ${target_arch}
  4. Build the kernel: cargo build --release --target ${target_arch}

Using

To use the kernel, you must package it up into an arguments binary with xous-tools.

Testing

TBD

Contribution Guidelines

Contributor Covenant

Please see CONTRIBUTING for details on how to make a contribution.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide its terms.

License

Copyright © 2020

This project is licensed under the Apache License 2.0 LICENSE. For accurate information, please check individual files.