Flextensor: An automatic schedule exploration and optimization framework for tensor computation on heterogeneous system S Zheng, Y Liang, S Wang, R Chen, K Sheng Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 159 | 2020 |
Hasco: Towards agile hardware and software co-design for tensor computation Q Xiao, S Zheng, B Wu, P Xu, X Qian, Y Liang 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 53 | 2021 |
SuSy: A programming model for productive construction of high-performance systolic arrays on FPGAs YH Lai, H Rong, S Zheng, W Zhang, X Cui, Y Jia, J Wang, B Sullivan, ... Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 47 | 2020 |
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 | 37 | 2022 |
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 | 10 | 2023 |
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 | 10 | 2021 |
Accelerating convolutional neural networks on FPGAs LQ Lu, S Zheng, QC Xiao, DM Chen, Y Liang Scientia Sinica Informationis 49 (3), 277-294, 2019 | 7 | 2019 |
TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis S Zheng, S Chen, S Gao, L Jia, G Sun, R Wang, Y Liang Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 5 | 2023 |
Memory and computation coordinated mapping of dnns onto complex heterogeneous soc S Zheng, S Chen, Y Liang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 5 | 2023 |
Rubick: A synthesis framework for spatial architectures via dataflow decomposition Z Luo, L Lu, S Zheng, J Yin, J Cong, J Yin, Y Liang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 4 | 2023 |
面向卷积神经网络的 FPGA 设计 卢丽强, 郑思泽, 肖倾城, 陈德铭, 梁云 Inform 49, 277-294, 2019 | 2 | 2019 |
MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN R Chen, Z Ding, S Zheng, C Zhang, J Leng, X Liu, Y Liang Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration C Li, Z Zhou, S Zheng, J Zhang, Y Liang, G Sun Proceedings of the 29th ACM International Conference on Architectural …, 2024 | | 2024 |
Rubick: A Unified Infrastructure for Analyzing, Exploring, and Implementing Spatial Architectures via Dataflow Decomposition L Lu, Z Luo, S Zheng, J Yin, J Cong, Y Liang, J Yin IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | | 2023 |
ARES: A Mapping Framework of DNNs Towards Diverse PIMs with General Abstractions X Cui, S Zheng, T Jia, L Ye, Y Liang 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | | 2023 |
SuSy YH Lai, H Rong, S Zheng, W Zhang, X Cui, Y Jia, J Wang, B Sullivan, ... Proceedings of the 39th International Conference on Computer-Aided Design, 2020 | | 2020 |
MoteS: Memory Optimization via Fine-grained Scheduling for DNNs on Tiny Devices R Chen, Z Ding, S Zheng, M Li, Y Liang | | |