| Film-qnn: Efficient fpga acceleration of deep neural networks with intra-layer, mixed-precision quantization M Sun, Z Li, A Lu, Y Li, SE Chang, X Ma, X Lin, Z Fang Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 43 | 2022 |
| Auto-vit-acc: An fpga-aware automatic acceleration framework for vision transformer with mixed-scheme quantization Z Li, M Sun, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | 28 | 2022 |
| Demystifying the memory system of modern datacenter FPGAs for software programmers through microbenchmarking A Lu, Z Fang, W Liu, L Shannon The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021 | 25 | 2021 |
| Rethinking integer divider design for FPGA-based soft-processors E Matthews, A Lu, Z Fang, L Shannon 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 23 | 2019 |
| CHIP-KNN: A configurable and high-performance k-nearest neighbors accelerator on cloud FPGAs A Lu, Z Fang, N Farahpour, L Shannon 2020 International Conference on Field-Programmable Technology (ICFPT), 139-147, 2020 | 22 | 2020 |
| Heatvit: Hardware-efficient adaptive token pruning for vision transformers P Dong, M Sun, A Lu, Y Xie, K Liu, Z Kong, X Meng, Z Li, X Lin, Z Fang, ... 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 14 | 2023 |
| Yuze Chi, and Zhenman Fang. 2023. SASA: A scalable and automatic stencil acceleration framework for optimized hybrid spatial and temporal parallelism on HBM-based FPGAs X Tian, Z Ye, A Lu, L Guo arXiv preprint arXiv:2208.10770, 2023 | 7 | 2023 |
| Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, et al. Heatvit: Hardware-efficient adaptive token pruning for vision transformers P Dong, M Sun, A Lu, Y Xie, K Liu 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 7 | 2022 |
| FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: Late breaking results M Sun, Z Li, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1394-1395, 2022 | 5 | 2022 |
| SASA: A scalable and automatic stencil acceleration framework for optimized hybrid spatial and temporal parallelism on HBM-based FPGAs X Tian, Z Ye, A Lu, L Guo, Y Chi, Z Fang ACM Transactions on Reconfigurable Technology and Systems 16 (2), 1-33, 2023 | 4 | 2023 |
| Demystifying the soft and hardened memory systems of modern fpgas for software programmers through Microbenchmarking A Lu, Z Fang, L Shannon ACM Transactions on Reconfigurable Technology and Systems (TRETS) 15 (4), 1-33, 2022 | 3 | 2022 |
| SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms A Lu, Z Fang 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom …, 2023 | 2 | 2023 |
| ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training SE Chang, G Yuan, A Lu, M Sun, Y Li, X Ma, Z Li, Y Xie, M Qin, X Lin, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 2 | 2023 |
| You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding G Yuan, SE Chang, Q Jin, A Lu, Y Li, Y Wu, Z Kong, Y Xie, P Dong, M Qin, ... European Conference on Computer Vision, 34-51, 2022 | 2 | 2022 |
| Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-processors E Matthews, A Lu, Z Fang, L Shannon ACM Transactions on Reconfigurable Technology and Systems (TRETS) 15 (3), 1-27, 2022 | 2 | 2022 |
| CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAs K Liu, A Lu, K Samtani, Z Fang, L Guo ACM Transactions on Reconfigurable Technology and Systems 16 (4), 1-26, 2023 | 1 | 2023 |
| Hardware-efficient stochastic rounding unit design for DNN training: late breaking results SE Chang, G Yuan, A Lu, M Sun, Y Li, X Ma, Z Li, Y Xie, M Qin, X Lin, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1396-1397, 2022 | | 2022 |
| Late Breaking Results: FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization M Sun, Z Li, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... Proceedings of the 59th Design Automation Conference (DAC), 2022 | | 2022 |
| Akbari, Omid C Blochwitz, A Boutros, L Clausing, DG Diaconu, J Falk, J Fan, ... | | |
| Alves, Fredy K Bandara Herath, A Becher, C Blochwitz, R Buchty, F Chalabi, H Fan, ... | | |
Zhenman FangAssistant Professor, Simon Fraser UniversityVerified email at sfu.ca
