6.5k citations · 13.7k across the 24 of their papers we have counts for
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cs.AR2023★ 1 cited
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network
Song Han, Xingyu Liu, Huizi Mao +4
EIE proposed to accelerate pruned and compressed neural networks, exploiting weight sparsity, activation sparsity, and 4-bit weight-sharing in neural network accelerators. Since pu…
cs.AR2023
SatIn: Hardware for Boolean Satisfiability Inference
Chenzhuo Zhu, Alexander C. Rucker, Yawen Wang +1
This paper describes SatIn, a hardware accelerator for determining boolean satisfiability (SAT) -- an important problem in many domains including verification, security analysis, a…