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most citedPTQ-SL: Exploring the Sub-layerwise Post-training Quantization

1 citations · 2 across the 4 of their papers we have counts for

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cs.AR2024

Algorithm-hardware co-design for Energy-Efficient A/D conversion in ReRAM-based accelerators

Chenguang Zhang, Zhihang Yuan, Xingchen Li +1

Deep neural networks are widely deployed in many fields. Due to the in-situ computation (known as processing in memory) capacity of the Resistive Random Access Memory (ReRAM) cross…