Why it matters

Pinned memory shapes data transfer performance. Standard technique.

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The architecture

Allocate with cudaMallocHost or pin existing.

Async transfers to GPU.

Pinned memory flowPin memorycudaMallocHostAsync H2DcudaMemcpyAsyncGPU computeconcurrentPyTorch DataLoader pin_memory=True; overlaps with GPU compute
Pinned.
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How it works end to end

Bypasses paging.

Enables async copy.

PyTorch: pin_memory=True in DataLoader.

Copy 2-3x faster than pageable.