| Exploration of memory access optimization for FPGA-based 3D CNN accelerator T Tian, X Jin, L Zhao, X Wang, J Wang, W Wu 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 14 | 2020 |
| FP-GNN: adaptive FPGA accelerator for graph neural networks T Tian, L Zhao, X Wang, Q Wu, W Yuan, X Jin Future Generation Computer Systems 136, 294-310, 2022 | 11 | 2022 |
| An efficient resource-optimized learning prefetcher for solid state drives R Xu, X Jin, L Tao, S Guo, Z Xiang, T Tian 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 273-276, 2018 | 11 | 2018 |
| BaPipe: Exploration of balanced pipeline parallelism for DNN training L Zhao, R Xu, T Wang, T Tian, X Wang, W Wu, C Ieong, X Jin arXiv preprint arXiv:2012.12544, 2020 | 7 | 2020 |
| G-NMP: Accelerating Graph Neural Networks with DIMM-based Near-Memory Processing T Tian, X Wang, L Zhao, W Wu, X Zhang, F Lu, T Wang, X Jin Journal of Systems Architecture, 102602, 2022 | 6 | 2022 |
| FTW-GAT: An FPGA-based accelerator for graph attention networks with ternary weights Z He, T Tian, Q Wu, X Jin IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | 3 | 2023 |
| Hugraph: Acceleration of gcn training on heterogeneous fpga clusters with quantization L Zhao, Q Wu, X Wang, T Tian, W Wu, X Jin 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022 | 3 | 2022 |
| QEGCN: An FPGA-based accelerator for quantized GCNs with edge-level parallelism W Yuan, T Tian, Q Wu, X Jin Journal of Systems Architecture 129, 102596, 2022 | 3 | 2022 |
| CINT--An Energy-efficient Mixed-signal In-Memory CNN Accelerator Based on NOR Flash Memory (poster) L Tao, R Xu, T Tian, Z Xiang, Y Li, X Jin, J Ren, Z Li, C Li Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | 3 | 2019 |
| Bapipe: Balanced pipeline parallelism for dnn training L Zhao, R Xu, T Wang, T Tian, X Wang, W Wu, CI Ieong, X Jin Parallel Processing Letters 32 (03n04), 2250005, 2022 | 2 | 2022 |
| Exploration of balanced design in resource-constrained edge device for efficient cnns X Wang, T Tian, L Zhao, W Wu, X Jin IEEE Transactions on Circuits and Systems II: Express Briefs 69 (11), 4573-4577, 2022 | 2 | 2022 |
| Software-hardware co-optimization on partial-sum problem for PIM-based neural network accelerator Q Wu, L Tao, H Liang, W Yuan, T Tian, S Xue, X Jin 2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2021 | 2 | 2021 |
| Rp-ring: A heterogeneous multi-fpga accelerator S Guo, T Wang, L Tao, T Tian, Z Xiang, X Jin International Journal of Reconfigurable Computing 2018, 1-14, 2018 | 2 | 2018 |
| GCINT: Dynamic Quantization Algorithm for Training Graph Convolution Neural Networks Using Only Integers Q Wu, L Zhao, H Liang, X Wang, LF Tao, T Tian, T Wang, Z He, W Wu, ... | 1 | 2022 |
| A gather accelerator for GNNs on FPGA platform W Yuan, T Tian, H Liang, X Jin 2021 IEEE 27th International Conference on Parallel and Distributed Systems …, 2021 | 1 | 2021 |
| An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge W Wu, L Zhao, Q Wu, X Wang, T Tian, X Jin 2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-5, 2022 | | 2022 |
| An Efficient Hardware Prefetcher Exploiting the Prefetch Potential of Long-Stride Access Pattern on Virtual Address T Tian, T Wang, X Jin 2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017 | | 2017 |
Letian ZhaoUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
