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https://github.com/vosen/ZLUDA
CUDA on non-NVIDIA GPUs
https://github.com/vosen/ZLUDA
cuda rust
Last synced: 7 days ago
JSON representation
CUDA on non-NVIDIA GPUs
- Host: GitHub
- URL: https://github.com/vosen/ZLUDA
- Owner: vosen
- License: apache-2.0
- Created: 2020-01-05T18:26:03.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-10-16T01:15:49.000Z (24 days ago)
- Last Synced: 2024-10-29T15:36:06.956Z (10 days ago)
- Topics: cuda, rust
- Language: Rust
- Homepage: https://vosen.github.io/ZLUDA/
- Size: 3.64 MB
- Stars: 9,578
- Watchers: 132
- Forks: 625
- Open Issues: 96
-
Metadata Files:
- Readme: README.md
- License: LICENSE-APACHE
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README
[](https://discord.gg/sg6BNzXuc7)
# ZLUDA
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.
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/
## Usage
**Warning**: ZLUDA is under heavy development (see news [here](https://vosen.github.io/ZLUDA/blog/zludas-third-life/)). Instructions below might not work.
### Windows
You should have the most recent ROCm installed.\
Run your application like this:
```
\zluda_with.exe --
```
### Linux
Run your application like this:
```
LD_LIBRARY_PATH=
```
## Building
**Warning**: ZLUDA is under heavy development (see news [here](https://vosen.github.io/ZLUDA/blog/zludas-third-life/)). Instructions below might not work.
_Note_: This repo has submodules. Make sure to recurse submodules when cloning this repo, e.g.: `git clone --recursive https://github.com/vosen/ZLUDA.git`
You should have a relatively recent version of Rust installed, then you just do:
```
cargo build --release
```
in the main directory of the project.
### Linux
If you are building on Linux you must also symlink (or rename) the ZLUDA output binaries after ZLUDA build finishes:
```
ln -s libnvcuda.so target/release/libcuda.so
ln -s libnvcuda.so target/release/libcuda.so.1
ln -s libnvml.so target/release/libnvidia-ml.so
```
## Contributing
If you want to develop ZLUDA itself, read [CONTRIBUTING.md](CONTRIBUTING.md), it contains instructions how to set up dependencies and run tests
## License
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