CUDA Streams and Host/Device Overlap
CUDA Streams and Host/Device Overlap The previous note covered reduction, the first parallel algorithm on the GPU side. This note moves to the host-device boundary: how to keep the GPU busy while the CPU prepares the next batch of data, and how to overlap data movement with computation. So far, every kernel launch and every cudaMemcpy has been synchronous. The host waits, the GPU works, the host waits again. CUDA streams let you break that pattern. ...