Cong Guo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Quantization Step

Iterative Deepening

Top Venues

Publications

Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers 73 (5) (2024)
Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) (2024)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) (2024)
Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR (2024)
Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR (2024)
Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR (2023)
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA (2023)
Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. CoRR (2023)
Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF (2023)
Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR (2023)
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR (2023)
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD (2022)
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR (2022)
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR (2022)
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO (2022)
Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma
Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. MSN (2022)
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR (2022)
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR (2022)
Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR (2022)
Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC (2021)
Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
Dual-side Sparse Tensor Core. ISCA (2021)
Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
Dual-side Sparse Tensor Core. CoRR (2021)
Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR (2021)
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC (2020)
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC (2020)
Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR (2020)
Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR (2020)
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Adversarial Defense Through Network Profiling Based Path Extraction. CoRR (2019)
Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
Adversarial Defense Through Network Profiling Based Path Extraction. CVPR (2019)