2 papers
cs.DC2026
Understanding and Reducing Metadata-Driven Host Overheads in Sampling-Based GNN Training
Yidong Gong, Saima Afrin, Yuchen Ma +3
Modern deep learning workloads increasingly exhibit dynamic, metadata-driven execution, where runtime-generated information determines memory provisioning and kernel launch decisio…
cs.LG2025
Optimization of GNN Training Through Half-precision
Arnab Kanti Tarafder, Yidong Gong, Pradeep Kumar
Recent trends in lower precision, e.g. half-precision floating point, training have shown improved system performance and reduced memory usage for Deep Learning while maintaining a…