SNAC-Pack automates hardware-aware neural architecture codesign for FPGAs via surrogate-based multi-objective search, QAT/pruning compression, and hls4ml synthesis, yielding compact models with reduced resources on jet classification and qubit readout.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
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Surrogate Neural Architecture Codesign Package (SNAC-Pack)
SNAC-Pack automates hardware-aware neural architecture codesign for FPGAs via surrogate-based multi-objective search, QAT/pruning compression, and hls4ml synthesis, yielding compact models with reduced resources on jet classification and qubit readout.