most citedAddNet: Deep Neural Networks Using FPGA-Optimized Multipliers

67 citations · 67 across the 1 of their papers we have counts for

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1 paper

eess.SP2019★ 67 cited

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers

Julian Faraone, Martin Kumm, Martin Hardieck +4

Low-precision arithmetic operations to accelerate deep-learning applications on field-programmable gate arrays (FPGAs) have been studied extensively, because they offer the potenti…