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.
