Guyue Huang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Matrix Multiplication

Top Venues

Publications

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR (2024)
Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding
OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. USENIX ATC (2024)
Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX Annual Technical Conference (2023)
Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. MLSys (2023)
Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO (2023)
Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR (2022)
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning. CoRR (2022)
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC (2022)
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys (2022)
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. DAC (2022)
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR (2022)
Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li
LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. SC (2022)
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
Machine Learning for Electronic Design Automation: A Survey. CoRR (2021)
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26 (5) (2021)
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR (2021)
Zhongming Yu, Guohao Dai, Guyue Huang, Yu Wang, Huazhong Yang
Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs. ICCD (2021)
Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR (2021)
Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang
GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. SC (2020)
Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks. CoRR (2020)