Cong Guo

According to our database, Cong Guo authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Accelerating Sparse DNNs Based on Tiled GEMM.

Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo

IEEE Trans. Computers, May, 2024

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization.

Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng

CoRR, 2024

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving.

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

CoRR, 2024

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping.

Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching.

Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design.

Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo

CoRR, 2023

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

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

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.

Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization.

Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo

CoRR, 2022

Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA.

Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization.

Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.

Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.

Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Dual-side Sparse Tensor Core.

Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.

Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020

Accelerating sparse DNN models without hardware-support via tile-wise sparsity.

Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu

Proceedings of the International Conference for High Performance Computing, 2020

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.

Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo

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

2019

Adversarial Defense Through Network Profiling Based Path Extraction.

Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019