Crate ringkernel_cuda 

CUDA Backend for RingKernel

This crate provides NVIDIA CUDA GPU support for RingKernel using cudarc.

Features

• Persistent kernel execution (cooperative groups)
• Lock-free message queues in GPU global memory
• PTX compilation via NVRTC
• Multi-GPU support

Requirements

• NVIDIA GPU with Compute Capability 7.0+
• CUDA Toolkit 11.0+
• Native Linux (persistent kernels) or WSL2 (event-driven fallback)

Example

use ringkernel_cuda::CudaRuntime;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let runtime = CudaRuntime::new().await?;
    let kernel = runtime.launch("vector_add", Default::default()).await?;
    kernel.activate().await?;
    Ok(())
}

Modules

stub 🔒

Structs

CudaRuntime

Stub CUDA runtime when CUDA feature is disabled.

Constants

RING_KERNEL_PTX_TEMPLATE

PTX kernel source template for persistent ring kernel.

Functions

cuda_device_count

Get CUDA device count.

is_cuda_available

Check if CUDA is available at runtime.