Wenyu Sun

A 28nm 16.9-300TOPS/W Computing-in-Memory Processor Supporting Floating-Point NN Inference/Training with Intensive-CIM Sparse-Digital Architecture

Jinshan Yue, Chaojie He, Zi Wang et al. · 2023 · 65 citations

Engineering, Computer Architecture, Hardware Systems +17

STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse

Jinshan Yue, Yongpan Liu, Zhe Yuan et al. · IEEE Journal of Solid-State Circuits · 2022 · 54 citations

Engineering, Energy Efficiency, Computer Architecture +22

7.5 A 65nm 0.39-to-140.3TOPS/W 1-to-12b Unified Neural Network Processor Using Block-Circulant-Enabled Transpose-Domain Acceleration with 8.1 × Higher TOPS/mm²and 6T HBST-TRAM-Based 2D Data-Reuse Architecture

Jinshan Yue, Ruoyang Liu, Wenyu Sun et al. · 2019 · 43 citations

Engineering, Machine Learning, Neural Networks (Machine Learning) +25

SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference

Wenxun Wang, Shuchang Zhou, Wenyu Sun et al. · 2023 · 38 citations

Trending IC design directions in 2022

Chi‐Hang Chan, Lin Cheng, Wei Deng et al. · Journal of Semiconductors · 2022 · 35 citations

Artificial Intelligence, Engineering, Machine Learning +20