Low Precision Networks for Efficient Inference on FPGAs White Paper - Shows how quantizing neural network parameters with Block Floating Point can lead to savings in cost, time, power, and FPGA resource usage for your neural network. - 2026-05-13

low-precision-networks-for-eddicient-inference-on-fpgas-white-paper.pdf

Version
1.1
Product Type
Device Families > Stratix Families > Stratix 10
Device Families > Arria Families > Arria 10
Device Families > Agilex Families > Agilex 5 > D-Series
Device Families > Agilex Families > Agilex 5 > E-Series
Device Families > Cyclone Families > Cyclone 10 > Cyclone 10 GX
Development Software and Tools > AI Development Tools > FPGA AI Suite
Device Families > Agilex Families > Agilex 7 > F-Series
Device Families > Agilex Families > Agilex 3 > C-Series
Device Families > Agilex Families > Agilex 7 > I-Series
Device Families > Agilex Families > Agilex 7 > M-Series
Resource Type
Documentation > White Papers
Source Name
UD