WebFeb 16, 2024 · Second, we introduce FlowGNN, a generic architecture for a wide range of GNN models, which can deliver real-time performance with up to 400x times faster than CPU and GPU. Finally, we briefly introduce GNNBuilder, an end-to-end automated GNN accelerator generator that digests standard PyTorch and generates its FPGA … WebMeanwhile, most work rely on graph pre-processing to exploit data locality, making them unsuitable for real-time applications. To address these limitations, in this work, we propose a generic dataflow architecture for GNN acceleration, named FlowGNN, which can flexibly support the majority of message-passing GNNs. The contributions are three-fold.

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A survey of field programmable gate array (FPGA)-based graph ...

WebTo address these limitations, in this work, we propose a generic dataflow architecture for GNN acceleration, named FlowGNN, which can flexibly support the majority of message … WebFlowGNN seamlessly. Evaluation. We verify the proposed architecture on Xil-inx Alveo U50 FPGA by measuring its on-board perfor-mance. We use three popular datasets with … WebHLS greatly boosts productivity for hardware development such as ASIC and FPGA design. Our main research interests include: . [ Past] Traditional HLS: core algorithms such as operation scheduling and functional unit … eagles game broadcast channel