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20212025
most citedEnabling Flexibility for Sparse Tensor Acceleration via Heterogeneity

3 citations · 5 across the 6 of their papers we have counts for

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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…