PipeGNN: A Bandwidth-Efficient GNN Accelerator with Node-Level Pipelined Push Execution
Graph Neural Networks (GNNs) have become a fundamental tool for learning over graph-structured data. Under the message-passing framework, mainstream GNN models alternate between feature transformation and neighborhood aggregation. Fusing these two phases into a node-level pipelined push dataflow, in which each node’s t...
Shi Chen, Jun-Sheng Chang, Yang Guo et al.
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