ruda

Unified entry point for Ruda GPU kernels and compute backends. Select CUDA, HIP, or WGPU through Cargo features. The portable host runtime lives in ruda-runtime and remains available through ruda::runtime.

Interfaces

• runtime::client and runtime::server: submit work and implement compute services.
• runtime::storage, memory_management, and allocator: manage backend allocations.
• runtime::backend, compiler, and kernel: implement runtime and compiled-kernel contracts.
• dsl and prelude: kernel DSL and launch interfaces, enabled by any GPU backend.
• cuda, hip, and wgpu: the selected driver's public API.

Usage

Cargo package: ruda. Rust import: ruda.

cargo add ruda --features cuda

For AMD HIP or a cross-vendor WGPU backend, choose one of:

cargo add ruda --features hip
cargo add ruda --features wgpu

CUDA requires a compatible NVIDIA driver and CUDA Toolkit; HIP requires a compatible AMD GPU and ROCm/HIP environment; WGPU requires a compatible GPU and graphics driver. Cargo adds the dependency; it does not install these drivers.

Use ruda::cuda::{CudaDevice, CudaRuntime}, ruda::hip::{AmdDevice, HipRuntime}, or ruda::wgpu::{WgpuDevice, WgpuRuntime} with ruda::prelude::*.

From the source workspace, run the same vector-add kernel with the selected backend:

cargo run -p ruda --example vector-add --features cuda
cargo run -p ruda --example vector-add --features hip
cargo run -p ruda --example vector-add --features wgpu

When enabling multiple backends, select one explicitly for the example:

cargo run -p ruda --example vector-add --features cuda,wgpu -- wgpu

Features

Default features: runtime-default.

Links

• Package source
• Cargo manifest
• Ruda guide