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cs.LG2024
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…
cs.LG2024
GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
Yidong Gong, Pradeep Kumar
We hypothesize that the absence of a standardized benchmark has allowed several fundamental pitfalls in GNN System design and evaluation that the community has overlooked. In this…
cs.LG2024
Single-GPU GNN Systems: Traps and Pitfalls
Yidong Gong, Arnab Tarafder, Saima Afrin +1
The current graph neural network (GNN) systems have established a clear trend of not showing training accuracy results, and directly or indirectly relying on smaller datasets for e…