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ETHEREAL is presented, the first EV-GNN accelerator that scales to 640-times-480 resolutions, thanks to a neighbor-parallel spline convolution engine and a 2D/3D-split memory hierarchy with a novel region-of-interest spatiotemporal caching mechanism.
FlexSpIM, a digital CIM architecture supporting arbitrary operand resolution and shape within a unified storage for weights and neuron states, is introduced, enabling a layer-level hybrid weight- and output-stationary dataflow, maximizing operand reuse and reducing costly on- and off-chip data movement during SNN execution.
ETHEREAL achieves sub-30 μs latency for high-resolution vision tasks, setting a new standard for event-driven processing at the edge.