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Fix grammar errors in README.md (#414)

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林博仁 Buo-ren Lin
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# ZLUDA # 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 a drop-in replacement for CUDA on non-NVIDIA GPUs. ZLUDA allows running unmodified CUDA applications using non-NVIDIA GPUs with near-native performance.
ZLUDA supports AMD Radeon RX 5000 series and newer GPUs (both desktop and integrated). ZLUDA supports AMD Radeon RX 5000 series and newer GPUs (both desktop and integrated).
![GeekBench 5.5.1 chart](geekbench.svg) ![GeekBench 5.5.1 chart](geekbench.svg)
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/ ZLUDA is a 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 ## Usage
**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. **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.
### Windows ### Windows
You should have recent AMD GPU driver ("AMD Software: Adrenalin Edition") installed.\ You should have a recent AMD GPU driver ("AMD Software: Adrenalin Edition") installed.\
To run your application you should etiher: To run your application, you should etiher:
* (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 * (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
* Use ZLUDA launcher like below. ZLUDA launcher is known to be buggy and incomplete: * Use ZLUDA launcher like below. ZLUDA launcher is known to be buggy and incomplete:
``` ```
@ -29,7 +29,7 @@ Run your application like this:
LD_LIBRARY_PATH=<ZLUDA_DIRECTORY> <APPLICATION> <APPLICATIONS_ARGUMENTS> LD_LIBRARY_PATH=<ZLUDA_DIRECTORY> <APPLICATION> <APPLICATIONS_ARGUMENTS>
``` ```
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. where `<ZLUDA_DIRECTORY>` is the directory which contains ZLUDA-provided `libcuda.so`: `target/release` if you built from sources or `zluda` if you downloaded a prebuilt package.
### MacOS ### MacOS
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ZLUDA project has a commercial backing and _does not_ accept donations. ZLUDA project has a commercial backing and _does not_ accept donations.
ZLUDA project accepts pull requests and other non-monetary contributions. ZLUDA project accepts pull requests and other non-monetary contributions.
If you want to contribute a code fix or documentation update feel free to open a Pull Request. If you want to contribute a code fix or documentation update, feel free to open a Pull Request.
### Getting started ### Getting started
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_amdgpu` is a simple test that adds two numbers. There's no architecture document (yet). The two most important crates in ZLUDA are `ptx` (PTX compiler) and `zluda` (AMD GPU runtime). A good starting point to tinkering with 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_amdgpu` is a simple test that adds two numbers.
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-contained. Their level of difficulty varies, they are not always good beginner tasks, but they defined unambiguously. 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-contained. Their level of difficulty varies, and they are not always good beginner tasks, but they are defined unambiguously.
If you have questions feel free to ask on [#devtalk channel on Discord](https://discord.com/channels/1273316903783497778/1303329281409159270). If you have questions, feel free to ask on [#devtalk channel on Discord](https://discord.com/channels/1273316903783497778/1303329281409159270).
## License ## License