MINT implements dynamic-precision CNN inference on FPGA via MSDF digit-serial arithmetic and greedy per-layer precision search, reporting up to 82% higher energy efficiency than INT8 on VGG-16 and ResNet-18 with under 2% accuracy loss.
Neuraghe: Exploiting cpu-fpga synergies for efficient and flexible cnn inference acceleration on zynq socs,
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MINT: Dynamic-Precision CNN Inference with MSDF Digit-Serial Arithmetic on FPGA
MINT implements dynamic-precision CNN inference on FPGA via MSDF digit-serial arithmetic and greedy per-layer precision search, reporting up to 82% higher energy efficiency than INT8 on VGG-16 and ResNet-18 with under 2% accuracy loss.