mirror of
https://github.com/vosen/ZLUDA.git
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74 lines
3.4 KiB
Markdown
74 lines
3.4 KiB
Markdown
[](https://discord.gg/sg6BNzXuc7)
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# ZLUDA
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ZLUDA is a drop-in replacement for CUDA on non-NVIDIA GPU. ZLUDA allows to run unmodified CUDA applications using non-NVIDIA GPUs with near-native performance.
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ZLUDA supports AMD Radeon RX 5000 series and newer GPUs (both desktop and integrated).
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ZLUDA is work in progress. Follow development here and say hi on [Discord](https://discord.gg/sg6BNzXuc7). For more details see the announcement: https://vosen.github.io/ZLUDA/blog/zludas-third-life/
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## Usage
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**Warning**: This version ZLUDA is under heavy development (more [here](https://vosen.github.io/ZLUDA/blog/zludas-third-life/)) and right now only supports Geekbench. ZLUDA probably will not work with your application just yet.
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### Windows
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You should have recent AMD GPU driver ("AMD Software: Adrenalin Edition") installed.\
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To run your application you should etiher:
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* (Recommended approach) Copy ZLUDA-provided `nvcuda.dll` and `nvml.dll` from `target\release` (if built from sources) or `zluda` (if downloaded a zip package) into a path which your application uses to load CUDA. Paths vary application to application, but usually it's the directory where the .exe file is located
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* Use ZLUDA launcher like below. ZLUDA launcher is known to be buggy and incomplete:
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```
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<ZLUDA_DIRECTORY>\zluda_with.exe -- <APPLICATION> <APPLICATIONS_ARGUMENTS>
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```
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### Linux
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Run your application like this:
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```
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LD_LIBRARY_PATH=<ZLUDA_DIRECTORY> <APPLICATION> <APPLICATIONS_ARGUMENTS>
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```
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where `<ZLUDA_DIRECTORY>` is the directory which contains ZLUDA-provided `libcuda.so`: `target/release` if you built from sources or `zluda` if you downloaded prebuilt package.
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### MacOS
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Not supported
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## Building
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### Dependencies
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* Git
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* CMake
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* Python 3
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* Rust compiler (recent version)
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* C++ compiler
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* (Optional, but recommended) [Ninja build system](https://ninja-build.org/)
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### Build steps
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* Git clone the repo (make sure to use `--recursive` option to fetch submodules):
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`git clone --recursive https://github.com/vosen/ZLUDA.git`
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* Enter freshly cloned `ZLUDA` directory and build with cargo (this takes a while):
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`cargo xtask --release`
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## Contributing
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ZLUDA project has a commercial backing and _does not_ accept donations.
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ZLUDA project accepts pull requests and other non-monetary contributions.
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If you want to contribute a code fix or documentation update feel free to open a Pull Request.
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### Getting started
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There's no architecture document (yet). Two most important crates in ZLUDA are `ptx` (PTX compiler) and `zluda` (AMD GPU runtime). A good starting point to tinkering the project is to run one of the `ptx` unit tests under a debugger and understand what it is doing. `cargo test -p ptx -- ::add_hip` is a simple test that adds two numbers.
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Github issues tagged with ["help wanted"](https://github.com/vosen/ZLUDA/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) are tasks that are self-containted. Their level of difficulty varies, they are not always good beginner tasks, but they defined unambiguously.
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If you have questions feel free to ask on [#devtalk channel on Discord](https://discord.com/channels/1273316903783497778/1303329281409159270).
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## License
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This software is dual-licensed under either the Apache 2.0 license or the MIT license. See [LICENSE-APACHE](LICENSE-APACHE) or [LICENSE-MIT](LICENSE-MIT) for details
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