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GPUNetIO lets CUDA kernels drive networking across NVIDIA libraries

developer.nvidia.com by Elizabeth Goodman 17 min read Editor score 8/10

GPUNetIO lets CUDA kernels initiate Ethernet, RDMA, Verbs and DMA operations without a CPU in the critical path, and provides a shared foundation for libraries including NCCL and NVSHMEM. GPU-driven networking affects communication overhead and scaling in GPU-heavy systems.

What: - DOCA GPUNetIO lets CUDA kernels drive Ethernet, RDMA, Verbs, and DMA operations while keeping the CPU out of the application critical path.
How: - CPU-side functions export transport objects to GPU memory; CUDA functions on the data path manipulate those objects.
Why it matters: - Its shared foundation supports libraries including NCCL and NVSHMEM, reducing the need for separate GPU-initiated networking implementations.

CPU functions export transport objects for CUDA functions to manipulate on the GPU. Sketched from the article's own text.

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