forge-compute-shaders

To set up a compute pipeline with SDL3 GPU, you embed compute shader code, bind read/write storage textures and buffers, push per-frame uniforms, and dispatch workgroups sized to cover the target texture before rendering the output.

Yes, SDL3 GPU compute shaders support particle simulations by binding read/write buffers and storage textures, pushing per-frame uniforms, and dispatching workgroups to process the simulation data before a subsequent render pass consumes the output.

The compute-then-render pattern in SDL3 GPU runs a compute pass to generate or process an image into a storage texture, then executes a render pass that samples that output texture to display the compute results on screen.

Yes, SDL3 GPU supports random-access writes to textures by binding storage textures in a compute pipeline, enabling procedural generation workloads to dispatch workgroups that write pixel data directly before the render pass consumes the output.

To size compute workgroups in SDL3 GPU, calculate the dispatch group dimensions based on the target texture size and your workgroup thread counts, ensuring the dispatched groups fully cover the texture dimensions for the compute pass.

SDL3 GPU compute pipelines suit image processing, procedural generation, particle simulations, and post-processing workloads, handling general-purpose GPU computation that requires random-access writes to textures or buffers before rendering results.