Yang Wang

According to our database, Yang Wang authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips.

Shaojun Wei, Xinhan Lin, Fengbin Tu, Yang Wang, Leibo Liu, Shouyi Yin

IEEE Trans. Circuits Syst. I Regul. Pap., March, 2023

An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Yang Zhou, Yuanqi Fan, Tianbao Chen, Hao Sun, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE J. Solid State Circuits, 2023

FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction.

Yubin Qin, Yang Wang, Dazheng Deng, Zhiren Zhao, Xiaolong Yang, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

A 28nm 49.7TOPS/W Sparse Transformer Processor with Random-Projection-Based Speculation, Multi-Stationary Dataflow, and Redundant Partial Product Elimination.

Yubin Qin, Yang Wang, Dazheng Deng, Xiaolong Yang, Zhiren Zhao, Yang Zhou, Yuanqi Fan, Jingchuan Wei, Tianbao Chen, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022

SWPU: A 126.04 TFLOPS/W Edge-Device Sparse DNN Training Processor With Dynamic Sub-Structured Weight Pruning.

Yang Wang, Yubin Qin, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

PL-NPU: An Energy-Efficient Edge-Device DNN Training Processor With Posit-Based Logarithm-Domain Computing.

Yang Wang, Dazheng Deng, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin

IEEE J. Solid State Circuits, 2022

A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Yang Zhou, Yuanqi Fan, Tianbao Chen, Hao Sun, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021

Erratum to "Evolver: a Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning".

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

IEEE J. Solid State Circuits, 2021

Evolver: A Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning.

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

IEEE J. Solid State Circuits, 2021

A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation.

Yang Wang, Yubin Qin, Dazheng Deng, Jingchuan Wei, Tianbao Chen, Xinhan Lin, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Learnable Quantization Loss Function Based on Expectation.

Hao Sun, Yujuan Cheng, Yang Wang, Bin Wang, Shouyi Yin

Proceedings of the 26th International Conference on Automation and Computing, 2021

HPPU: An Energy-Efficient Sparse DNN Training Processor with Hybrid Weight Pruning.

Yang Wang, Yubin Qin, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

LPE: Logarithm Posit Processing Element for Energy-Efficient Edge-Device Training.

Yang Wang, Dazheng Deng, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

STC: Significance-aware Transform-based Codec Framework for External Memory Access Reduction.

Feng Xiong, Fengbin Tu, Man Shi, Yang Wang, Leibo Liu, Shaojun Wei, Shouyi Yin

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020