Shiyu Li

According to our database, Shiyu Li authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators.

Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024

NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models.

Shiyu Li, Yitu Wang, Edward Hanson, Andrew Chang, Yang-Seok Ki, Hai Li, Yiran Chen

IEEE Trans. Computers, May, 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.

Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao Frank Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen

CoRR, 2024

SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.

Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration.

Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai (Helen) Li

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing.

Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

CSCO: Connectivity Search of Convolutional Operators.

Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference.

Yitu Wang, Shiyu Li, Qilin Zheng, Andrew Chang, Hai Li, Yiran Chen

ACM Trans. Embed. Comput. Syst., October, 2023

DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs.

Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen

IEEE Trans. Computers, March, 2023

In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search.

Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen

CoRR, 2023

Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI.

Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions.

Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators.

Bokyung Kim, Shiyu Li, Hai Li

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture.

Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design.

Xiaoxuan Yang, Shiyu Li, Qilin Zheng, Yiran Chen

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Processing-in-Memory Technology for Machine Learning: From Basic to ASIC.

Brady Taylor, Qilin Zheng, Ziru Li, Shiyu Li, Yiran Chen

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Cascading structured pruning: enabling high data reuse for sparse DNN accelerators.

Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters.

Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

ESCALATE: Boosting the Efficiency of Sparse CNN Accelerator with Kernel Decomposition.

Shiyu Li, Edward Hanson, Xuehai Qian, Hai (Helen) Li, Yiran Chen

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen

CoRR, 2020

PENNI: Pruned Kernel Sharing for Efficient CNN Inference.

Shiyu Li, Edward Hanson, Hai Li, Yiran Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.

Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen

CoRR, 2019

Towards Decentralized Deep Learning with Differential Privacy.

Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen

Proceedings of the Cloud Computing - CLOUD 2019, 2019

2018

LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning.

Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen

CoRR, 2018