Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet
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DOI: 10.1109/tcad.2022.3197342
Abstract: Resistive random-access memory (ReRAM)-based manycore architectures enable acceleration of graph neural network (GNN) inference and training. GNNs exhibit characteristics of both DNNs and graph analytics. Hence, GNN training/inferencing on ReRAM-based manycore architectures give rise to… read more here.
Keywords: neural network; reram based; based manycore; graph neural ... See more keywords