11 citations · 16 across the 5 of their papers we have counts for
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cs.LG2022
Scalable Graph Convolutional Network Training on Distributed-Memory Systems
Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu
Graph Convolutional Networks (GCNs) are extensively utilized for deep learning on graphs. The large data sizes of graphs and their vertex features make scalable training algorithms…
cs.LG2021★ 11 cited
Partitioning sparse deep neural networks for scalable training and inference
Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu
The state-of-the-art deep neural networks (DNNs) have significant computational and data management requirements. The size of both training data and models continue to increase. Sp…