all AI news
FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming. (arXiv:2204.13103v1 [cs.DC])
cs.LG updates on arXiv.org arxiv.org
Graph neural networks (GNNs) have recently exploded in popularity thanks to
their broad applicability to graph-related problems such as quantum chemistry,
drug discovery, and high energy physics. However, meeting demand for novel GNN
models and fast inference simultaneously is challenging because of the gap
between developing efficient accelerators and the rapid creation of new GNN
models. Prior art focuses on the acceleration of specific classes of GNNs, such
as Graph Convolutional Network (GCN), but lacks the generality to support a …
architecture arxiv dataflow graph graph neural network inference network neural network streaming