14 citations · 36 across the 5 of their papers we have counts for
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cs.AR2022★ 5 cited
Low Error-Rate Approximate Multiplier Design for DNNs with Hardware-Driven Co-Optimization
Yao Lu, Jide Zhang, Su Zheng +2
In this paper, two approximate 3*3 multipliers are proposed and the synthesis results of the ASAP-7nm process library justify that they can reduce the area by 31.38% and 36.17%, an…
cs.AR2022★ 1 cited
HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks
Su Zheng, Zhen Li, Yao Lu +3
We propose an optimization method for the automatic design of approximate multipliers, which minimizes the average error according to the operand distributions. Our multiplier achi…