Part 3: GPU Utilities Layer
To simplify working with WebGPU and Dawn in C++, the core/include/internal/gpu_utils.h header provides a high-level, RAII-based utilities layer. This layer abstracts away much of the boilerplate associated with buffer lifecycle, texture memory, pipeline compilation, and command submission.
Pipeline Caching
Compiling a WebGPU shader module and compute pipeline can be an expensive operation. If an algorithm is called repeatedly, compiling the pipeline every time degrades performance.
The gpu::cached_pipeline() function resolves this by caching the wgpu::ComputePipeline statically:
wgpu::ComputePipeline pipeline = gpu::cached_pipeline("my_shader", shader_source_string);
Thread Safety & Device Validation:
The cache is guarded by a std::mutex to prevent race conditions during concurrent compilation. Furthermore, pipelines are keyed by both the WGPUDevice and the shader_id. This guarantees that if the underlying WebGPU device is lost or recreated, the cache naturally invalidates stale pipelines.
RAII Resource Management
WebGPU objects require explicit destruction when using the Dawn C++ wrappers. To prevent memory leaks, gpu_utils.h provides RAII wrappers:
gpu::Buffer<T>
A strongly-typed, auto-releasing buffer wrapper.
// Create a storage buffer of 1024 floats
gpu::Buffer<float> data_buf(
1024,
wgpu::BufferUsage::Storage | wgpu::BufferUsage::CopySrc
);
// Map it async and read the contents synchronously into a std::vector
std::vector<float> results = data_buf.read_contents();
gpu::Texture
Wraps a wgpu::Texture and its dimensions.
// Create a 2D rgba8unorm texture for storage and readback
gpu::Texture img_tex(
width, height,
wgpu::TextureFormat::RGBA8Unorm,
wgpu::TextureUsage::StorageBinding | wgpu::TextureUsage::CopySrc
);
// Easily read texture back to CPU (handles row-alignment internally)
std::vector<uint8_t> pixels = img_tex.read_contents();
Both Buffer and Texture handle destroying their underlying resources (buffer.Destroy(), texture.Destroy()) when they go out of scope. They are non-copyable but explicitly movable to allow returning them from factory functions safely.
Bind Group Construction
WebGPU requires defining a wgpu::BindGroupDescriptor and tracking arrays of wgpu::BindGroupEntry. The gpu::make_bind_group utility streamlines this with a declarative builder pattern:
wgpu::BindGroup bind_group = gpu::make_bind_group(pipeline, 0, {
gpu::BindEntry::buffer_entry(0, input_buffer),
gpu::BindEntry::buffer_entry(1, output_buffer),
gpu::BindEntry::texture(2, image_texture)
});
This prevents mismatched array bounds and automatically extracts the correct layouts from the passed ComputePipeline.
Compute Passes
For standard "one-shot" compute kernels, gpu::dispatch() encodes the pass, finishes the command buffer, and submits it to the GPU singleton's queue instantly.
uint32_t gx = gpu::workgroup_count(width, 16);
uint32_t gy = gpu::workgroup_count(height, 16);
gpu::dispatch(pipeline, bind_group, gx, gy, 1);
For more complex multi-pass algorithms where you need to append to an existing wgpu::CommandEncoder before submission, gpu::encode_pass() can be used instead.