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2020 – today
- 2024
[j22]Weiwei Wu, Fengbin Tu, Xiangyu Li, Shaojun Wei, Shouyi Yin:
SWG: an architecture for sparse weight gradient computation. Sci. China Inf. Sci. 67(2) (2024)- [j21]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) - [j20]Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong:
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1613-1617 (2024) - [j19]Xin Zhao, Liang Chang, Dongqi Fan, Zhicheng Hu, Ting Yue, Fengbin Tu, Jun Zhou:
HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1679-1692 (2024) - [c32]Jingyu He, Fengbin Tu, Kwang-Ting Cheng, Chi-Ying Tsui:
AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator Using Adaptive Posit. DATE 2024: 1-2 - [c31]Zhiheng Yue, Huizheng Wang, Jiahao Fang, Jinyi Deng, Guangyang Lu, Fengbin Tu, Ruiqi Guo, Yuxuan Li, Yubin Qin, Yang Wang, Chao Li, Huiming Han, Shaojun Wei, Yang Hu, Shouyi Yin:
Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture. ISCA 2024: 396-409 - [c30]Zhiheng Yue, Xujiang Xiang, Fengbin Tu, Yang Wang, Yiming Wang, Shaojun Wei, Yang Hu, Shouyi Yin:
15.1 A 0.795fJ/bit Physically-Unclonable Function-Protected TCAM for a Software-Defined Networking Switch. ISSCC 2024: 276-278 - [c29]Ruiqi Guo, Lei Wang, Xiaofeng Chen, Hao Sun, Zhiheng Yue, Yubin Qin, Huiming Han, Yang Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin:
20.2 A 28nm 74.34TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models. ISSCC 2024: 362-364 - [c28]Yiqi Wang, Zhen He, Chenggang Zhao, Zihan Wu, Mingyu Gao, Huiming Han, Shaojun Wei, Yang Hu, Fengbin Tu, Shouyi Yin:
ETCIM: An Error-Tolerant Digital-CIM Processor with Redundancy-Free Repair and Run-Time MAC and Cell Error Correction. VLSI Technology and Circuits 2024: 1-2 - [c27]Ruiqi Guo, Xiaofeng Chen, Lei Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin:
A 28nm 4170-TFLOPS/W/b and 195-TFLOPS/mm2/b Multiply-Free Fully-Digital Floating-Point Compute-In-Memory Macro with Mitchell's Approximation. VLSI Technology and Circuits 2024: 1-2 - 2023
- [j18]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) - [j17]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) - [j16]Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16(7): 1615-1628 (2023) - [j15]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) - [j14]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) - [j13]Shaojun Wei, Xinhan Lin, Fengbin Tu, Yang Wang, Leibo Liu, Shouyi Yin:
Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips. IEEE Trans. Circuits Syst. I Regul. Pap. 70(3): 1228-1241 (2023) - [j12]Weiwei Wu, Fengbin Tu, Mengqi Niu, Zhiheng Yue, Leibo Liu, Shaojun Wei, Xiangyu Li, Yang Hu, Shouyi Yin:
STAR: An STGCN ARchitecture for Skeleton-Based Human Action Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2370-2383 (2023) - [c26]Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng:
AutoDCIM: An Automated Digital CIM Compiler. DAC 2023: 1-6 - [c25]Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang:
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC 2023: 1-6 - [c24]Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jiakun Zheng, Hui Wu, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng:
BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare. ESSCIRC 2023: 225-228 - [c23]Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie:
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA 2023: 58:1-58:14 - [c22]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 - [c21]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 - [c20]Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Boxiao Han, Hongjun He, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. MICRO 2023: 1395-1408 - [i5]Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong:
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. CoRR abs/2302.12510 (2023) - [i4]Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. CoRR abs/2307.02847 (2023) - [i3]Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui:
A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications. CoRR abs/2307.05944 (2023) - 2022
- [j11]Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie:
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71(12): 3165-3178 (2022) - [j10]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4782-4796 (2022) - [j9]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) - [c19]Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie:
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS 2022: 14-26 - [c18]Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating datapath conflicts and design centralization in graph analytics acceleration. DAC 2022: 901-906 - [c17]Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie:
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE 2022: 658-663 - [c16]Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie:
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA 2022: 102-115 - [c15]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 - [c14]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 - [i2]Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. CoRR abs/2202.11343 (2022) - 2021
- [j8]Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
Evolver: A Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning. IEEE J. Solid State Circuits 56(2): 658-673 (2021) - [j7]Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin:
Erratum to "Evolver: a Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning". IEEE J. Solid State Circuits 56(9): 2895 (2021) - [c13]Xinhan Lin, Liang Sun, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei, Shouyi Yin:
ADROIT: An Adaptive Dynamic Refresh Optimization Framework for DRAM Energy Saving In DNN Training. DAC 2021: 751-756 - [c12]Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla:
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD 2021: 1-9 - [i1]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR abs/2107.11746 (2021) - 2020
- [c11]Feng Xiong, Fengbin Tu, Man Shi, Yang Wang, Leibo Liu, Shaojun Wei, Shouyi Yin:
STC: Significance-aware Transform-based Codec Framework for External Memory Access Reduction. DAC 2020: 1-6 - [c10]Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie:
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO 2020: 738-750
2010 – 2019
- 2019
- [j6]Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Shaojun Wei:
A High Throughput Acceleration for Hybrid Neural Networks With Efficient Resource Management on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 678-691 (2019) - [j5]Fengbin Tu, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei:
Reconfigurable Architecture for Neural Approximation in Multimedia Computing. IEEE Trans. Circuits Syst. Video Technol. 29(3): 892-906 (2019) - [j4]Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Jishen Zhao, Cong Xu, Shuangchen Li, Yuan Xie, Shaojun Wei:
Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. IEEE Trans. Parallel Distributed Syst. 30(1): 146-160 (2019) - [c9]Feng Xiong, Fengbin Tu, Shouyi Yin, Shaojun Wei:
Towards Efficient Compact Network Training on Edge-Devices. ISVLSI 2019: 61-67 - [c8]Weiwei Wu, Shouyi Yin, Fengbin Tu, Leibo Liu, Shaojun Wei:
MoNA: Mobile Neural Architecture with Reconfigurable Parallel Dimensions. NEWCAS 2019: 1-4 - 2018
- [j3]Shouyi Yin, Peng Ouyang, Shibin Tang, Fengbin Tu, Xiudong Li, Shixuan Zheng, Tianyi Lu, Jiangyuan Gu, Leibo Liu, Shaojun Wei:
A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications. IEEE J. Solid State Circuits 53(4): 968-982 (2018) - [j2]Jiale Yan, Shouyi Yin, Fengbin Tu, Leibo Liu, Shaojun Wei:
GNA: Reconfigurable and Efficient Architecture for Generative Network Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2519-2529 (2018) - [c7]Xinhan Lin, Shouyi Yin, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei:
LCP: a layer clusters paralleling mapping method for accelerating inception and residual networks on FPGA. DAC 2018: 16:1-16:6 - [c6]Fengbin Tu, Weiwei Wu, Shouyi Yin, Leibo Liu, Shaojun Wei:
RANA: Towards Efficient Neural Acceleration with Refresh-Optimized Embedded DRAM. ISCA 2018: 340-352 - [c5]Jianxin Guo, Shouyi Yin, Peng Ouyang, Fengbin Tu, Shibin Tang, Leibo Liu, Shaojun Wei:
Bit-width Adaptive Accelerator Design for Convolution Neural Network. ISCAS 2018: 1-5 - [c4]Zhihui Wang, Shouyi Yin, Fengbin Tu, Leibo Liu, Shaojun Wei:
An Energy Efficient JPEG Encoder with Neural Network Based Approximation and Near-Threshold Computing. ISCAS 2018: 1-5 - 2017
- [j1]Fengbin Tu, Shouyi Yin, Peng Ouyang, Shibin Tang, Leibo Liu, Shaojun Wei:
Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns. IEEE Trans. Very Large Scale Integr. Syst. 25(8): 2220-2233 (2017) - [c3]Shibin Tang, Shouyi Yin, Shixuan Zheng, Peng Ouyang, Fengbin Tu, Leiyue Yao, JinZhou Wu, Wenming Cheng, Leibo Liu, Shaojun Wei:
AEPE: An area and power efficient RRAM crossbar-based accelerator for deep CNNs. NVMSA 2017: 1-6 - 2015
- [c2]Fengbin Tu, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei:
RNA: a reconfigurable architecture for hardware neural acceleration. DATE 2015: 695-700 - [c1]Fengbin Tu, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei:
Neural approximating architecture targeting multiple application domains. ISCAS 2015: 2509-2512
Coauthor Index
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last updated on 2024-10-21 21:28 CEST by the dblp team
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