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ORCIDGuyue Huang
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Books and Theses
- 2024
[b1]Guyue Huang:
High-Performance Deep Learning Systems via DL Sparsity and DL Compiler. University of California Santa Barbara, USA, 2024
Journal Articles
- 2025
- [j2]Jiaming Xu, Shan Huang, Jinhao Li, Guyue Huang, Yuan Xie, Yu Wang, Guohao Dai:
Enabling Efficient Sparse Multiplications on GPUs With Heuristic Adaptability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(6): 2226-2239 (2025) - 2021
- [j1]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): 40:1-40:46 (2021)
Conference and Workshop Papers
- 2025
- [c12]Guyue Huang, Hao Li, Le Qin, Jiayi Huang, Yangwook Kang, Yufei Ding, Yuan Xie:
TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model. ISCA 2025: 1880-1893 - 2024
- [c11]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. ECCV (14) 2024: 285-302 - [c10]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: 667-682 - 2023
- [c9]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: 338-352 - [c8]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 - [c7]Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding:
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX ATC 2023: 149-164 - 2022
- [c6]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: 595-600 - [c5]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: 1153-1158 - [c4]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 - [c3]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: 38:1-38:14 - 2021
- [c2]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: 567-574 - 2020
- [c1]Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. SC 2020: 72
Informal and Other Publications
- 2025
- [i9]Akhiad Bercovich, Itay Levy, Izik Golan, Mohammad Dabbah, Ran El-Yaniv, Omri Puny, Ido Galil, Zach Moshe, Tomer Ronen, Najeeb Nabwani, Ido Shahaf, Oren Tropp, Ehud Karpas, Ran Zilberstein, Jiaqi Zeng, Soumye Singhal, Alexander Bukharin, Yian Zhang, Tugrul Konuk, Gerald Shen, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Yoshi Suhara, Olivier Delalleau, Zijia Chen, Zhilin Wang, David Mosallanezhad, Adi Renduchintala, Haifeng Qian, Dima Rekesh, Fei Jia, Somshubra Majumdar, Vahid Noroozi, Wasi Uddin Ahmad, Sean Narenthiran, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Siddhartha Jain, Igor Gitman, Ivan Moshkov, Wei Du, Shubham Toshniwal, George Armstrong, Branislav Kisacanin, Matvei Novikov, Daria Gitman, Evelina Bakhturina, Jane Polak Scowcroft, John Kamalu, Dan Su, Kezhi Kong, Markus Kliegl, Rabeeh Karimi, Ying Lin, Sanjeev Satheesh, Jupinder Parmar, Pritam Gundecha, Brandon Norick, Joseph Jennings, Shrimai Prabhumoye, Syeda Nahida Akter, Mostofa Patwary, Abhinav Khattar, Deepak Narayanan, Roger Waleffe, Jimmy Zhang, Bor-Yiing Su, Guyue Huang, Terry Kong, Parth Chadha, Sahil Jain, Christine Harvey, Elad Segal, Jining Huang, Sergey Kashirsky, Robert McQueen, Izzy Putterman, George Lam, Arun Venkatesan, Sherry Wu, Vinh Nguyen, Manoj Kilaru, Andrew Wang, Anna Warno, Abhilash Somasamudramath, Sandip Bhaskar, Maka Dong, Nave Assaf, Shahar Mor, Omer Ullman Argov, Scot Junkin, Oleksandr Romanenko, Pedro Larroy, Monika Katariya, Marco Rovinelli, Viji Balas, Nicholas Edelman, Anahita Bhiwandiwalla, Muthu Subramaniam:
Llama-Nemotron: Efficient Reasoning Models. CoRR abs/2505.00949 (2025) - 2024
- [i8]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 abs/2405.17873 (2024) - 2022
- [i7]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 abs/2202.08556 (2022) - [i6]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 abs/2203.05016 (2022) - [i5]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 abs/2210.16691 (2022) - 2021
- [i4]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 abs/2102.03357 (2021) - [i3]Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie:
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR abs/2106.16064 (2021) - [i2]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 abs/2110.09524 (2021) - 2020
- [i1]Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang:
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks. CoRR abs/2007.03179 (2020)
Coauthor Index
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