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ORCIDYiqi Wang 0005
- > Home > Persons > Yiqi Wang 0005
Publications
- 2024
[j7]Fengbin Tu
, Zihan Wu, Yiqi Wang, Weiwei Wu, Leibo Liu, Yang Hu, Shaojun Wei, Shouyi Yin:
MulTCIM: Digital Computing-in-Memory-Based Multimodal Transformer Accelerator With Attention-Token-Bit Hybrid Sparsity. IEEE J. Solid State Circuits 59(1): 90-101 (2024)- 2023
- [j6]Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits 58(1): 243-255 (2023) - [j5]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58(6): 1798-1809 (2023) - [j4]Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie:
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 109-121 (2023) - [j3]Yiqi Wang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
SPCIM: Sparsity-Balanced Practical CIM Accelerator With Optimized Spatial-Temporal Multi-Macro Utilization. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 214-227 (2023) - [c5]Fengbin Tu, Zihan Wu, Yiqi Wang, Weiwei Wu, Leibo Liu, Yang Hu, Shaojun Wei, Shouyi Yin:
MuITCIM: A 28nm $2.24 \mu\mathrm{J}$/Token Attention-Token-Bit Hybrid Sparse Digital CIM-Based Accelerator for Multimodal Transformers. ISSCC 2023: 248-249 - [c4]Fengbin Tu, Yiqi Wang, Zihan Wu, Weiwei Wu, Leibo Liu, Yang Hu, Shaojun Wei, Shouyi Yin:
TensorCIM: A 28nm 3.7nJ/Gather and 8.3TFLOPS/W FP32 Digital-CIM Tensor Processor for MCM-CIM-Based Beyond-NN Acceleration. ISSCC 2023: 254-255 - 2022
- [j2]Jianxun Yang, Fengbin Tu, Yixuan Li, Yiqi Wang, Leibo Liu, Shaojun Wei, Shouyi Yin:
GQNA: Generic Quantized DNN Accelerator With Weight-Repetition-Aware Activation Aggregating. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4069-4082 (2022) - [c3]Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
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. ISSCC 2022: 1-3 - [c2]Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC 2022: 466-468 - 2021
- [j1]Jianxun Yang, Yuyao Kong, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Yiqi Wang, Yonggang Liu, Chenfu Guo, Te Hu, Congcong Li, Leibo Liu, Jin Zhang, Shaojun Wei, Jun Yang, Shouyi Yin:
TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs. IEEE J. Solid State Circuits 56(10): 3021-3038 (2021) - 2020
- [c1]Jianxun Yang, Yuyao Kong, Zhao Zhang, Zhuangzhi Liu, Jing Zhou, Yiqi Wang, Yonggang Liu, Chenfu Guo, Te Hu, Congcong Li, Leibo Liu, Jin Zhang, Shaojun Wei, Jun Yang, Shouyi Yin:
A Time-Domain Computing-in-Memory based Processor using Predictable Decomposed Convolution for Arbitrary Quantized DNNs. A-SSCC 2020: 1-4
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