| Optimizing FPGA-based accelerator design for deep convolutional neural networks C Zhang, P Li, G Sun, Y Guan, B Xiao, J Cong Proceedings of the 2015 ACM/SIGDA international symposium on field …, 2015 | 2499 | 2015 |
| FP-DNN: An automated framework for mapping deep neural networks onto FPGAs with RTL-HLS hybrid templates Y Guan, H Liang, N Xu, W Wang, S Shi, X Chen, G Sun, W Zhang, J Cong 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 399 | 2017 |
| FPGA-based accelerator for long short-term memory recurrent neural networks Y Guan, Z Yuan, G Sun, J Cong 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 629-634, 2017 | 234 | 2017 |
| 184QPS/W 64Mb/mm23D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System D Niu, S Li, Y Wang, W Han, Z Zhang, Y Guan, T Guan, F Sun, F Xue, ... 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022 | 57 | 2022 |
| BlockGNN: Towards efficient GNN acceleration using block-circulant weight matrices Z Zhou, B Shi, Z Zhang, Y Guan, G Sun, G Luo 2021 58th ACM/IEEE Design Automation Conference (DAC), 1009-1014, 2021 | 32 | 2021 |
| Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network S Li, D Niu, Y Wang, W Han, Z Zhang, T Guan, Y Guan, H Liu, L Huang, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 23 | 2022 |
| GNN-PIM: A processing-in-memory architecture for graph neural networks Z Wang, Y Guan, G Sun, D Niu, Y Wang, H Zheng, Y Han Advanced Computer Architecture: 13th Conference, ACA 2020, Kunming, China …, 2020 | 23 | 2020 |
| Using data compression for optimizing FPGA-based convolutional neural network accelerators Y Guan, N Xu, C Zhang, Z Yuan, J Cong International workshop on advanced parallel processing technologies, 14-26, 2017 | 13 | 2017 |
| PIMulator-NN: An event-driven, cross-level simulation framework for processing-in-memory-based neural network accelerators Q Zheng, X Li, Y Guan, Z Wang, Y Cai, Y Chen, G Sun, R Huang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 7 | 2022 |
| Crane: mitigating accelerator under-utilization caused by sparsity irregularities in cnns Y Guan, G Sun, Z Yuan, X Li, N Xu, S Chen, J Cong, Y Xie IEEE Transactions on Computers 69 (7), 931-943, 2020 | 7 | 2020 |
| OpSparse: a highly optimized framework for sparse general matrix multiplication on GPUs Z Du, Y Guan, T Guan, D Niu, L Huang, H Zheng, Y Xie IEEE Access 10, 85960-85974, 2022 | 5 | 2022 |
| Practical near-data-processing architecture for large-scale distributed graph neural network L Huang, Z Zhang, S Li, D Niu, Y Guan, H Zheng, Y Xie IEEE Access 10, 46796-46807, 2022 | 5 | 2022 |
| Computation unit, related apparatus, and method G Yijin, F Sun, LUO Junwen, H Li, W Bangyan, G Tianchan, Y Zhang US Patent App. 17/510,217, 2022 | 3 | 2022 |
| Instruction processing apparatus, acceleration unit, and server G Yijin, F Sun, L Liang US Patent 11,789,733, 2023 | 2 | 2023 |
| Flatfish: A Reinforcement Learning Approach for Application-Aware Address Mapping X Li, Z Yuan, Y Guan, G Sun, T Zhang, R Wei, D Niu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 2 | 2022 |
| Predicting the output structure of sparse matrix multiplication with sampled compression ratio Z Du, Y Guan, T Guan, D Niu, N Tan, X Yu, H Zheng, J Meng, X Yan, Y Xie 2022 IEEE 28th International Conference on Parallel and Distributed Systems …, 2023 | 1 | 2023 |
| Accelerating cpu-based sparse general matrix multiplication with binary row merging Z Du, Y Guan, T Guan, D Niu, H Zheng, Y Xie IEEE Access 10, 79237-79248, 2022 | 1 | 2022 |
| Processing system that increases the capacity of a very fast memory Y Wang, D Niu, G Yijin, W Shengcheng, S Li, H Zheng US Patent 12,073,490, 2024 | | 2024 |
| Memory allocation method for sparse matrix multiplication applications DU Zhaoyang, G Yijin, D Niu, G Tianchan, H Zheng US Patent App. 18/309,826, 2024 | | 2024 |
| Data processing system and memory management method of data processing system D Niu, G Yijin, G Tianchan, S Li, H Zheng US Patent App. 18/065,123, 2024 | | 2024 |
Guangyu SunSchool of Integrated Circuits, Peking UniversityVerified email at pku.edu.cn
