14 citations · 23 across the 6 of their papers we have counts for
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cs.LG2022★ 1 cited
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui, Boyi Wei, Wei Yuan +1
Sampling is an important process in many GNN structures in order to train larger datasets with a smaller computational complexity. However, compared to other processes in GNN (such…
cs.LG2019
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters
Tong Geng, Tianqi Wang, Ang Li +2
Deep Neural Networks (DNNs) have revolutionized numerous applications, but the demand for ever more performance remains unabated. Scaling DNN computations to larger clusters is gen…