Fengbin Tu

Fengbin Tu

University of California, Santa Barbara

H-index: 15

North America-United States

About Fengbin Tu

Fengbin Tu, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of AI Chip, Computer Architecture, Reconfigurable Computing, Computing-In-Memory.

His recent articles reflect a diverse array of research interests and contributions to the field:

SWG: an architecture for sparse weight gradient computation

HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques

Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators

15.1 A 0.795 fJ/bit Physically-Unclonable Function-Protected TCAM for a Software-Defined Networking Switch

20.2 A 28nm 74.34 TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models

16.4 TensorCIM: A 28nm 3.7 nJ/gather and 8.3 TFLOPS/W FP32 digital-CIM tensor processor for MCM-CIM-based beyond-NN acceleration

Autodcim: An automated digital cim compiler

Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane

Fengbin Tu Information

University

Position

Postdoctoral Researcher at

Citations(all)

1177

Citations(since 2020)

1071

Cited By

432

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Fengbin Tu Skills & Research Interests

AI Chip

Computer Architecture

Reconfigurable Computing

Computing-In-Memory

Top articles of Fengbin Tu

Title

Journal

Author(s)

Publication Date

SWG: an architecture for sparse weight gradient computation

Science China Information Sciences

Weiwei Wu

Fengbin Tu

Xiangyu Li

Shaojun Wei

Shouyi Yin

2024/2

HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques

IEEE Transactions on Circuits and Systems I: Regular Papers

Xin Zhao

Liang Chang

Dongqi Fan

Zhicheng Hu

Ting Yue

...

2024/1/26

Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators

Journal of Semiconductors

Bohan Yang

Jia Chen

Fengbin Tu

2024

15.1 A 0.795 fJ/bit Physically-Unclonable Function-Protected TCAM for a Software-Defined Networking Switch

Zhiheng Yue

Xujiang Xiang

Fengbin Tu

Yang Wang

Yiming Wang

...

2024/2/18

20.2 A 28nm 74.34 TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models

Ruiqi Guo

Lei Wang

Xiaofeng Chen

Hao Sun

Zhiheng Yue

...

2024/2/18

16.4 TensorCIM: A 28nm 3.7 nJ/gather and 8.3 TFLOPS/W FP32 digital-CIM tensor processor for MCM-CIM-based beyond-NN acceleration

Fengbin Tu

Yiqi Wang

Zihan Wu

Weiwei Wu

Leibo Liu

...

2023/2/19

Autodcim: An automated digital cim compiler

Jia Chen

Fengbin Tu

Kunming Shao

Fengshi Tian

Xiao Huo

...

2023/7/9

Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane

Jinyi Deng

Xinru Tang

Jiahao Zhang

Yuxuan Li

Linyun Zhang

...

2023/10/28

ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification

Siqi Li

Fengbin Tu

Liu Liu

Jilan Lin

Zheng Wang

...

2023/6/17

BIOS: A 40nm Bionic Sensor-defined 0.47 pJ/SOP, 268.7 TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare

Fengshi Tian

Xiaomeng Wang

Jinbo Chen

Jiakun Zheng

Hui Wu

...

2023/9/11

STAR: An STGCN ARchitecture for Skeleton-Based Human Action Recognition

IEEE Transactions on Circuits and Systems I: Regular Papers

Weiwei Wu

Fengbin Tu

Mengqi Niu

Zhiheng Yue

Leibo Liu

...

2023/3/15

MulTCIM: Digital Computing-in-Memory-Based Multimodal Transformer Accelerator With Attention-Token-Bit Hybrid Sparsity

IEEE Journal of Solid-State Circuits

Fengbin Tu

Zihan Wu

Yiqi Wang

Weiwei Wu

Leibo Liu

...

2023/8/23

Spg: Structure-private graph database via squeezepir

Proceedings of the VLDB Endowment

Ling Liang

Jilan Lin

Zheng Qu

Ishtiyaque Ahmad

Fengbin Tu

...

2023/3/1

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

arXiv preprint arXiv:2307.05944

Xiaomeng Wang

Fengshi Tian

Xizi Chen

Jiakun Zheng

Xuejiao Liu

...

2023/7/12

Dybit: Dynamic bit-precision numbers for efficient quantized neural network inference

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Jiajun Zhou

Jiajun Wu

Yizhao Gao

Yuhao Ding

Chaofan Tao

...

2023/12

16.1 MuITCIM: A 28nm /Token Attention-Token-Bit Hybrid Sparse Digital CIM-Based Accelerator for Multimodal Transformers

Fengbin Tu

Zihan Wu

Yiqi Wang

Weiwei Wu

Leibo Liu

...

2023/2/19

Pim-hls: An automatic hardware generation tool for heterogeneous processing-in-memory-based neural network accelerators

Yu Zhu

Zhenhua Zhu

Guohao Dai

Fengbin Tu

Hanbo Sun

...

2023/7/9

The SSCS Hong Kong Student Chapter Organized the 2023 HKUST ICDC Annual Symposium [Chapters]

IEEE Solid-State Circuits Magazine

Chongyun Zhang

Li Wang

Yihan Zhang

Fengbin Tu

Patrick Yue

2023/11/16

Dynamic sparse attention for scalable transformer acceleration

IEEE Transactions on Computers

Liu Liu

Zheng Qu

Zhaodong Chen

Fengbin Tu

Yufei Ding

...

2022/9/20

Accelerating spatiotemporal supervised training of large-scale spiking neural networks on gpu

Ling Liang

Zhaodong Chen

Lei Deng

Fengbin Tu

Guoqi Li

...

2022/3/14

See List of Professors in Fengbin Tu University(University of California, Santa Barbara)

Co-Authors

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