Nem-gnn: Dac/adc-less, scalable, reconfigurable, graph and sparsity-aware near- memory accelerator for graph neural networks,
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- A complete discussion on fully reconfigurable, digital, scalable, graph and sparsity-aware near-memory accelerator for graph neural networks
- A comprehensive study on ILP acceleration accounting for sparsity, area, energy, data movement using near-memory architecture
- A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM