By Topic: [QC-System] [AI-GPUs & AI-Compiler] [AI-Arch] [Others]

[ISCA'22]

INSPIRE: In-Storage Private Information Retrieval via Protocol and Architecture Co-design

[To appear]
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie.

[ASPLOS'22]

DOTA: Detect and Omit Weak Attentions for Scalable Transformer Acceleration

[To appear]
Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie.

[ISSCC'22]

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

[To appear]
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu , Shaojun Wei, Yuan Xie, Shouyi Yin.

[ISSCC'22]

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

[To appear]
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin.

[MICRO'21]

ENMC: Extreme Near-Memory Classification via Approximate Screening

[To appear]
Liu Liu*, Jilan Lin*, Zheng Qu, Yufei Ding, Yuan Xie (* co-primary authors).

[MICRO'21]

Improving Streaming Graph Processing Performance Using Input Knowledge

[To appear]
Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie.

[ICCAD'21]

Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications

[To appear]
Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie.

[MICRO'20]

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture

[PDF]
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie.

[ISCA'20]

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture

[PDF]
Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie.