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BIDENT: Heterogeneous Operator-level Mapping for Efficient Edge Inference
Modern edge System-on-Chips (SoCs) integrate increasingly heterogeneous processing units (PUs) such as CPUs, GPUs, and NPUs, yet current inference stacks still map entire models to a single PU, leaving significant performance and energy efficiency on the table. This limitation is exacerbated by emer
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