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Federico Buccellato

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Open access Aug 2026

A Compiler-Aware Framework for Partitioned Neural Network Inference on FPGA DPUs

This work analyzes the Vitis AI compiler and proposes an XIR-level splitting framework that generates independently compilable .xmodel fragments while preserving the context required for DPU mapping, and restores correct DPU mapping by addressing boundary-context loss and incomplete dependency collection.

Federico Buccellato, Luca Mannini, C. De Sio · 0 citations

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