| Polyhedral model based mapping optimization of loop nests for CGRAs D Liu, S Yin, L Liu, S Wei Design Automation Conference (DAC), 2013 50th ACM/EDAC/IEEE, 1-8, 2013 | 77 | 2013 |
| Memory-Aware Loop Mapping on Coarse-Grained Reconfigurable Architectures S Yin, X Yao, D Liu, L Liu, S Wei IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (5 …, 2016 | 51 | 2016 |
| Data-Flow Graph Mapping Optimization for CGRA with Deep Reinforcement Learning D Liu, S Yin, G Luo, J Shang, L Liu, S Wei, Y Feng, S Zhou IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018 | 47 | 2018 |
| Improving nested loop pipelining on coarse-grained reconfigurable architectures S Yin, D Liu, Y Peng, L Liu, S Wei IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (2), 507-520, 2016 | 24 | 2016 |
| DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach S Yin, D Liu, L Sun, L Liu, S Wei Circuits and Systems (ISCAS), 2017 IEEE International Symposium on, 1-4, 2017 | 22 | 2017 |
| Conflict-Free Loop Mapping for Coarse-Grained Reconfigurable Architecture with Multi-Bank Memory S Yin, X Yao, T Lu, D Liu, J Gu, L Liu, S Wei IEEE Transactions on Parallel and Distributed Systems, 2017 | 21 | 2017 |
| Optimizing spatial mapping of nested loop for coarse-grained reconfigurable architectures D Liu, S Yin, Y Peng, L Liu, S Wei IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (11 …, 2015 | 17 | 2015 |
| Joint affine transformation and loop pipelining for mapping nested loop on CGRAs S Yin, D Liu, L Liu, S Wei, Y Guo Proceedings of the 2015 Design, Automation & Test in Europe Conference …, 2015 | 13 | 2015 |
| Joint Modulo Scheduling and Assignment for Loop Mapping on Dual- CGRAs S Yin, J Gu, D Liu, L Liu, S Wei IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 12 | 2016 |
| Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication B Liu, D Liu Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 7 | 2023 |
| RF-CGRA: a routing-friendly CGRA with hierarchical register chains R Zhu, B Wang, D Liu 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 262-267, 2022 | 6 | 2022 |
| Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning Y Zhuang, Z Zhang, D Liu Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 5 | 2022 |
| Mapping optimization of affine loop nests for reconfigurable computing architecture D Liu, S Yin, C Yin, L Liu, S Wei IEICE TRANSACTIONS on Information and Systems 95 (12), 2898-2907, 2012 | 5 | 2012 |
| Towards energy-efficient CGRAs via stochastic computing B Wang, R Zhu, J Shang, D Liu 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 202-207, 2022 | 4 | 2022 |
| Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures S Yin, D Liu, L Sun, X Lin, L Liu, S Wei Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017 | 4 | 2017 |
| Mapping multi-level loop nests onto cgras using polyhedral optimizations D Liu, S Yin, L Liu, S Wei IEICE Transactions on Fundamentals of Electronics, Communications and …, 2015 | 3 | 2015 |
| Affine transformations for communication and reconfiguration optimization of loops on CGRAs D Liu, S Yin, L Liu, S Wei Circuits and Systems (ISCAS), 2013 IEEE International Symposium on, 2541-2544, 2013 | 2 | 2013 |
| A portable environmental monitoring system based on WSN for off-the-shelf sensors D Liu, S Yin, J Chen, H Gao, S Wei Computational Problem-Solving (ICCP), 2011 International Conference on, 1-4, 2011 | 2 | 2011 |
| DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs D Liu, D Mou, R Zhu, Y Zhuang, J Shang, J Zhong, S Yin 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 1 | 2023 |
| Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks Y Zhang, D Liu, Y Xing International Conference on Neural Information Processing, 558-565, 2021 | 1 | 2021 |
