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FrontGI: Architecture-Aware Parallel GNN Inference on Chiplet-Based Multicore Systems
The realm of high-performance computing has expanded to include machine learning tasks of many forms. Graph Neural Networks (GNNs) are becoming increasingly popular, with their applications expanding across diverse domains. As the scale of graph data continues to grow, including larger numbers of no
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