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20242026
most citedA 28nm 0.22μJ/token memory-compute-intensity-aware CNN-Transformer accelerator with hybrid-attention-based layer-fusion and cascaded pruning for semantic-segmentation

11 citations · 13 across the 6 of their papers we have counts for

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cs.AR2025

APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design

Yonghao Tan, Pingcheng Dong, Yongkun Wu +8

DNN accelerators, significantly advanced by model compression and specialized dataflow techniques, have marked considerable progress. However, the frequent access of high-precision…