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A dataflow architecture for universal graph neural network inference via multi-queue streaming.

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FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming

Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao
School of Electrical and Computer Engineering, Georgia Institute of Technology

Overview

FlowGNN overall architecture

This is FlowGNN, a generic dataflow architecture for GNN acceleration which can flexibly support the majority of message-passing GNNs. Read the paper on arXiv.

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A dataflow architecture for universal graph neural network inference via multi-queue streaming.

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