| FDRA: A Framework for a Dynamically Reconfigurable Accelerator Supporting Multi-Level Parallelism Y Qiu, Y Mao, X Gao, S Chen, J Li, W Yin, L Wang ACM Transactions on Reconfigurable Technology and Systems 17 (1), 1-26, 2024 | 2 | 2024 |
| HierCGRA: A Novel Framework for Large-scale CGRA with Hierarchical Modeling and Automated Design Space Exploration S Chen, C Cai, S Zheng, J Li, G Zhu, J Li, Y Yan, Y Dai, W Yin, L Wang ACM Transactions on Reconfigurable Technology and Systems 17 (2), 1-31, 2024 | 1 | 2024 |
| GRAFT: GNN-based Adaptive Framework for Efficient CGRA Mapping J Li, C Cai, Y Zhao, Y Yan, W Yin, L Wang 2023 International Conference on Field Programmable Technology (ICFPT), 26-34, 2023 | 1 | 2023 |
| Ordermap: A cgra mapping algorithm based on dfg analysis and graph homomorphism J Li, S Zheng, L Wang, W Yin 2022 IEEE 16th International Conference on Solid-State & Integrated Circuit …, 2022 | 1 | 2022 |
| An End-to-End Agile Design Framework to Improve Energy Efficiency on CGRAs J Li, Y Yan, G Zhu, W Yin, L Wang 2024 IEEE 35th International Conference on Application-specific Systems …, 2024 | | 2024 |
| MDCRA: A Reconfigurable Accelerator Framework for Multiple Dataflow Lanes S Sun, B Jin, J Lou, J Li, Y Cao, J Li, C Shen, Y Dai, W Yin, WS Luk, ... 2024 IEEE 35th International Conference on Application-specific Systems …, 2024 | | 2024 |
| TransMap: An Efficient CGRA Mapping Framework via Transformer and Deep Reinforcement Learning J Li, Y Dai, Y Hu, J Li, W Yin, J Tao, L Wang 2024 IEEE International Parallel and Distributed Processing Symposium …, 2024 | | 2024 |
| An Architecture-Agnostic Dataflow Mapping Framework on CGRA J Li, Y Yan, J Li, S Sun, B Jin, W Yin, L Wang 2024 IEEE International Parallel and Distributed Processing Symposium …, 2024 | | 2024 |
| Data Flow Graph Partitioning Method for CGRA Temporal Mapping Based on Bayesian Optimization Y Hu, J Li, W Yin, L Wang, WS Luk 2024 Conference of Science and Technology for Integrated Circuits (CSTIC), 1-3, 2024 | | 2024 |
