Guyue Huang

According to our database, Guyue Huang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.

Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang

CoRR, 2024

OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model.

Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

2023

TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.

Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs.

Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration.

Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie

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

2022

Enabling Data Movement and Computation Pipelining in Deep Learning Compiler.

Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie

CoRR, 2022

Heuristic Adaptability to Input Dynamics for SpMM on GPUs.

Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang

CoRR, 2022

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs.

Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.

Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.

Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Heuristic adaptability to input dynamics for SpMM on CPUs.

Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Machine Learning for Electronic Design Automation: A Survey.

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

ACM Trans. Design Autom. Electr. Syst., 2021

Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction.

Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie

CoRR, 2021

Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs.

Zhongming Yu, Guohao Dai, Guyue Huang, Yu Wang, Huazhong Yang

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020

GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks.

Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang

Proceedings of the International Conference for High Performance Computing, 2020