ZEROGNN removes the host from the metadata-driven control loop in sampling-based GNN training, restoring CUDA Graph replayability and delivering up to 5.28x end-to-end speedup with near-100% GPU execution fraction.
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Understanding and Reducing Metadata-Driven Host Overheads in Sampling-Based GNN Training
ZEROGNN removes the host from the metadata-driven control loop in sampling-based GNN training, restoring CUDA Graph replayability and delivering up to 5.28x end-to-end speedup with near-100% GPU execution fraction.