45 citations · 76 across the 9 of their papers we have counts for
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cs.AR2021
Characterizing the Communication Requirements of GNN Accelerators: A Model-Based Approach
Robert Guirado, Akshay Jain, Sergi Abadal +1
Relational data present in real world graph representations demands for tools capable to study it accurately. In this regard Graph Neural Network (GNN) is a powerful tool, wherein…
cs.DC2021
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators
Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez +8
Graph Neural Networks (GNNs) have garnered a lot of recent interest because of their success in learning representations from graph-structured data across several critical applicat…