| Machine learning for electronic design automation: A survey G Huang, J Hu, Y He, J Liu, M Ma, Z Shen, J Wu, Y Xu, H Zhang, K Zhong, ... ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (5 …, 2021 | 194 | 2021 |
| GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks G Huang, G Dai, W Yu, Y Huazhong Proceedings of the International Conference for High Performance Computing …, 2020 | 91 | 2020 |
| Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective H Zhang, Z Yu, G Dai, G Huang, Y Ding, Y Xie, Y Wang Proceedings of Machine Learning and Systems 4, 467-484, 2022 | 35 | 2022 |
| Lightseq2: Accelerated training for transformer-based models on gpus X Wang, Y Wei, Y Xiong, G Huang, X Qian, Y Ding, M Wang, L Li SC22: International Conference for High Performance Computing, Networking …, 2022 | 29 | 2022 |
| {TC-GNN}: Bridging Sparse {GNN} Computation and Dense Tensor Cores on {GPUs} Y Wang, B Feng, Z Wang, G Huang, Y Ding 2023 USENIX Annual Technical Conference (USENIX ATC 23), 149-164, 2023 | 23 | 2023 |
| Heuristic adaptability to input dynamics for spmm on gpus G Dai, G Huang, S Yang, Z Yu, H Zhang, Y Ding, Y Xie, H Yang, Y Wang Proceedings of the 59th ACM/IEEE Design Automation Conference, 595-600, 2022 | 10 | 2022 |
| Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning G Huang, H Li, M Qin, F Sun, Y Ding, Y Xie Proceedings of the 59th ACM/IEEE Design Automation Conference, 1153-1158, 2022 | 8 | 2022 |
| Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs Z Yu, G Dai, G Huang, Y Wang, H Yang 2021 IEEE 39th International Conference on Computer Design (ICCD), 567-574, 2021 | 8 | 2021 |
| ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs G Huang, Y Bai, L Liu, Y Wang, B Yu, Y Ding, Y Xie Proceedings of Machine Learning and Systems 5, 2023 | 4 | 2023 |
| RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration G Huang, Z Wang, PA Tsai, C Zhang, Y Ding, Y Xie Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 2 | 2023 |
| Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction G Huang, G Dai, Y Wang, Y Ding, Y Xie arXiv preprint arXiv:2106.16064, 2021 | 2 | 2021 |
| Low-power in-pixel buffer circuit for smart image sensor Q Li, H Zhu, G Huang, Z Yu, F Qiao, Q Wei, X Liu, H Yang Sensor Review 40 (5), 585-590, 2020 | 1 | 2020 |
| Systems and methods for neural network training with weight sparsity F Sun, M Qin, H Li, G Zhu, Y Gao, G Huang, Y Zhang US Patent App. 17/866,194, 2023 | | 2023 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
