NEM-GNN is a scalable DAC/ADC-less processing-in-memory architecture for GNNs that uses early compute termination, reconfigurable SoC pre-computation, and compute-as-soon-as-ready broadcast execution to deliver large gains over prior accelerators.
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A complete discussion on fully reconfigurable, digital, scalable, graph and sparsity-aware near-memory accelerator for graph neural networks
NEM-GNN is a scalable DAC/ADC-less processing-in-memory architecture for GNNs that uses early compute termination, reconfigurable SoC pre-computation, and compute-as-soon-as-ready broadcast execution to deliver large gains over prior accelerators.