The author proposes ARGO, a novel runtime system for GNN training that offers scalable performance by exploiting multi-processing and core-binding techniques. The auto-tuner fine-tunes configurations automatically to improve platform resource utilization.
Improving resource utilization in GNN training through a Unified CPU-GPU protocol.