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HP-GNN accepted at FPGA ’22

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Our paper “HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform” has been accepted as a full paper at the 30th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA ’22). This paper describes a general framework that generates high throughput GNN training accelerator on CPU-FPGA platform.

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