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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework


Dec 12, 2020
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. -H. So, Xuehai Qian, Yanzhi Wang, Xue Lin

* Accepted by High-Performance Computer Architecture (HPCA'2021) 

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PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices


Apr 23, 2020
Chunhua Deng, Siyu Liao, Yi Xie, Keshab K. Parhi, Xuehai Qian, Bo Yuan


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PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning


Jan 22, 2020
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren

* To be published in the Proceedings of Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 20) 

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Heterogeneity-Aware Asynchronous Decentralized Training


Sep 17, 2019
Qinyi Luo, Jiaao He, Youwei Zhuo, Xuehai Qian


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A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology


Jul 22, 2019
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang


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Non-structured DNN Weight Pruning Considered Harmful


Jul 03, 2019
Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma


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Hop: Heterogeneity-Aware Decentralized Training


Feb 07, 2019
Qinyi Luo, Jinkun Lin, Youwei Zhuo, Xuehai Qian


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HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array


Jan 07, 2019
Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen

* To appear in the 2019 25th International Symposium on High-Performance Computer Architecture (HPCA 2019) 

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ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers


Dec 31, 2018
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang


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E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs


Dec 12, 2018
Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang

* In The 25th International Symposium on High-Performance Computer Architecture (HPCA 2019) 

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Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework


Feb 18, 2018
Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin

* 6 figures, AAAI Conference on Artificial Intelligence, 2018 

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VIBNN: Hardware Acceleration of Bayesian Neural Networks


Feb 02, 2018
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang


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CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices


Aug 29, 2017
Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan

* 14 pages, 15 Figures, conference 

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SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing


Jan 31, 2017
Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang

* This paper is accepted by 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2017 

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