662f9567d7
242: Add logic to pick highest performance GPU on DirectX 12 r=kvark a=AndrewGaspar I was having an issue on my Surface Book where my Intel's integrated GPU is always selected instead of my Nvidia discrete GPU when querying for `HighPerformance`. It turns out the Intel GPU is reported as a `DistcreteGPU` by `gfx` (in fact `gfx` has no logic for reporting `IntegratedGPU`s for DX12). However, it also turns out that `dx12::Instance::enumerate_adapters` returns adapters in descending order of performance, at least on Windows 10 > 1803. Therefore, we should use the _first_ GPU in each category, at least for `HighPerformance`. With this fix, `LowPower` selects my Intel GPU and `HighPerformance` and `Default` select my Nvidia GPU. I'm not so sure `LowPower` = `IntegratedGPU` and `HighPerformance` = `DiscreteGPU` is the quite correct mapping, so I filed an issue on gfx to improve the ability for querying for power/performance preference: https://github.com/gfx-rs/gfx/issues/2879 Anyway, let me know if you have a different fix you'd prefer. Co-authored-by: Andrew Gaspar <andrew.gaspar@outlook.com>
This is an active GitHub mirror of the WebGPU native implementation in Rust, which now lives in Mozilla-central. Issues and pull requests are accepted, but we merge them in m-c manually and then sync to GitHub instead of landing directly here.
WebGPU
This is an experimental WebGPU implementation as a native static library. It's written in Rust and is based on gfx-hal and Rendy libraries. The corresponding WebIDL specification can be found at gpuweb project.
The implementation consists of the following parts:
wgpu-native- the native implementation of WebGPU as a C API librarywgpu-remote- remoting layer to work with WebGPU across the process boundaryffi- the C headers generated by cbindgen for both of the libraries
Supported platforms:
- Vulkan on Windows and Linux
- D3D12 and D3D11 on Windows
- Metal on macOS and iOS
Usage
This repository contains C-language examples that link to the native library targets and perform basic rendering and computation. To run the C triangle example, install a C compiler + glfw 3, then run these commands at the root of the repo:
rustup toolchain install nightly
cargo install cbindgen
make examples-native
cd examples/hello_triangle_c/build
./hello_triangle
The idiomatic Rust wrapper lives in https://github.com/gfx-rs/wgpu-rs and provides a number of more complex examples to get a feel of the API.