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Framework on GCN inference at FCCM ’20

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Our paper “Accelerate large scale GCN inference on FPGA” has been accepted as a poster at the The 28th IEEE International Symposium On Field-Programmable Custom Computing Machines (FCCM ‘20). This paper presents an algorithm-architecture co-optimization framework to accelerate large scale graph convolutional neural network (GCN) inference on FPGA.

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