| Enabling coordinated register allocation and thread-level parallelism optimization for GPUs X Xie, Y Liang, X Li, Y Wu, G Sun, T Wang, D Fan Proceedings of the 48th International Symposium on Microarchitecture, 395-406, 2015 | 82 | 2015 |
| TGPA: Tile-grained pipeline architecture for low latency CNN inference X Wei, Y Liang, X Li, CH Yu, P Zhang, J Cong 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 78 | 2018 |
| A coordinated tiling and batching framework for efficient GEMM on GPUs X Li, Y Liang, S Yan, L Jia, Y Li Proceedings of the 24th symposium on principles and practice of parallel …, 2019 | 59 | 2019 |
| AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction S Zheng, R Chen, A Wei, Y Jin, Q Han, L Lu, B Wu, X Li, S Yan, Y Liang Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 42 | 2022 |
| Flashdecoding++: Faster large language model inference on gpus K Hong, G Dai, J Xu, Q Mao, X Li, J Liu, K Chen, H Dong, Y Wang arXiv preprint arXiv:2311.01282, 2023 | 21 | 2023 |
| Enabling efficient fast convolution algorithms on GPUs via MegaKernels L Jia, Y Liang, X Li, L Lu, S Yan IEEE Transactions on Computers 69 (7), 986-997, 2020 | 20 | 2020 |
| Performance-centric register file design for GPUs using racetrack memory S Wang, Y Liang, C Zhang, X Xie, G Sun, Y Liu, Y Wang, X Li 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), 25-30, 2016 | 20 | 2016 |
| CRAT: Enabling coordinated register allocation and thread-level parallelism optimization for GPUs X Xie, Y Liang, X Li, Y Wu, G Sun, T Wang, D Fan IEEE Transactions on Computers 67 (6), 890-897, 2017 | 17 | 2017 |
| Efficient kernel management on GPUs X Li, Y Liang 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 85-90, 2016 | 16 | 2016 |
| Chimera: An analytical optimizing framework for effective compute-intensive operators fusion S Zheng, S Chen, P Song, R Chen, X Li, S Yan, D Lin, J Leng, Y Liang 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 14 | 2023 |
| A survey on efficient inference for large language models Z Zhou, X Ning, K Hong, T Fu, J Xu, S Li, Y Lou, L Wang, Z Yuan, X Li, ... arXiv preprint arXiv:2404.14294, 2024 | 13 | 2024 |
| cuMBIR: An efficient framework for low-dose x-ray CT image reconstruction on GPUs X Li, Y Liang, W Zhang, T Liu, H Li, G Luo, M Jiang Proceedings of the 2018 International Conference on Supercomputing, 184-194, 2018 | 13 | 2018 |
| Efficient kernel management on GPUs Y Liang, X Li ACM Transactions on Embedded Computing Systems (TECS) 16 (4), 1-24, 2017 | 13 | 2017 |
| Exploring cache bypassing and partitioning for multi-tasking on GPUs Y Liang, X Li, X Xie 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 9-16, 2017 | 12 | 2017 |
| Neoflow: A flexible framework for enabling efficient compilation for high performance dnn training S Zheng, R Chen, Y Jin, A Wei, B Wu, X Li, S Yan, Y Liang IEEE Transactions on Parallel and Distributed Systems 33 (11), 3220-3232, 2021 | 11 | 2021 |
| CuLDA: solving large-scale LDA Problems on GPUs X Xie, Y Liang, X Li, W Tan Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019 | 8 | 2019 |
| CuLDA_CGS: Solving large-scale LDA problems on GPUs X Xie, Y Liang, X Li, W Tan Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 6 | 2019 |
| Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning C Chen, X Li, Q Zhu, J Duan, P Sun, X Zhang, C Yang Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 2 | 2024 |
| Theoretical linear convergence of deep unfolding network for block-sparse signal recovery R Fu, Y Liu, X Li Third International Conference on Computer Science and Communication …, 2022 | 2 | 2022 |
| FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics K Hong, G Dai, J Xu, Q Mao, X Li, J Liu, Y Dong, Y Wang Proceedings of Machine Learning and Systems 6, 148-161, 2024 | 1 | 2024 |
Yun (Eric) LiangProfessor of EECS, Peking University, ACM Distinguished ScientistVerified email at pku.edu.cn
