Zihan Wu

A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration

Fengbin Tu, Yiqi Wang, Zihan Wu et al. · 2022 IEEE International Solid- State Circuits Conference (ISSCC) · 2022 · 119 citations

Engineering, Advanced Computing, Computer Architecture +17

TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes

Fengbin Tu, Zihan Wu, Yiqi Wang et al. · IEEE Journal of Solid-State Circuits · 2022 · 64 citations

ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration

Fengbin Tu, Yiqi Wang, Zihan Wu et al. · IEEE Journal of Solid-State Circuits · 2022 · 63 citations

Artificial Intelligence, Engineering, Fabricated Redcim Chip +18

A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes

Fengbin Tu, Zihan Wu, Yiqi Wang et al. · 2022 IEEE International Solid- State Circuits Conference (ISSCC) · 2022 · 53 citations

Engineering, Vlsi Design, Machine Learning +18

16.1 MuITCIM: A 28nm $2.24 \mu\mathrm{J}$/Token Attention-Token-Bit Hybrid Sparse Digital CIM-Based Accelerator for Multimodal Transformers

Fengbin Tu, Zihan Wu, Yiqi Wang et al. · 2023 · 31 citations