| Smart multi-task scheduling for OpenCL programs on CPU/GPU heterogeneous platforms Y Wen, Z Wang, MFP O'boyle 2014 21st International conference on high performance computing (HiPC), 1-10, 2014 | 179 | 2014 |
| Homogeneous NoC-based FPGA: The foundation for virtual FPGA J Yang, L Yan, L Ju, Y Wen, S Zhang, T Chen 2010 10th IEEE International Conference on Computer and Information …, 2010 | 90 | 2010 |
| Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs V Radu, K Kaszyk, Y Wen, J Turner, J Cano, EJ Crowley, B Franke, ... IEEE International Symposium on Workload Characterization (IISWC), 2019, 2019 | 43 | 2019 |
| Merge or separate? Multi-job scheduling for OpenCL kernels on CPU/GPU platforms Y Wen, MFP O'Boyle Proceedings of the general purpose GPUs, 22-31, 2017 | 42 | 2017 |
| Accelerating HMMer on FPGAs using systolic array based architecture Y Sun, P Li, G Gu, Y Wen, Y Liu, D Liu 2009 Ieee International Symposium on Parallel & Distributed Processing, 1-8, 2009 | 35 | 2009 |
| Skin lesion classification using densely connected convolutional networks with attention residual learning J Wu, W Hu, Y Wen, WL Tu, XM Liu Sensors 20 (24), 7080, 2020 | 34 | 2020 |
| A reconfigurable processor architecture combining multi-core and reconfigurable processing unit L Yan, B Wu, Y Wen, S Zhang, T Chen 2010 10th IEEE International Conference on Computer and Information …, 2010 | 25 | 2010 |
| MaxPair: enhance OpenCL concurrent kernel execution by weighted maximum matching Y Wen, MFP O'Boyle, C Fensch Proceedings of the 11th workshop on general purpose GPUs, 40-49, 2018 | 19 | 2018 |
| TASO: Time and Space Optimization for Memory-Constrained DNN Inference Y Wen, A Anderson, V Radu, MFP O'Boyle, D Gregg CoRR abs/2005.10709, 2020 | 11 | 2020 |
| Generative adversarial training for weakly supervised nuclei instance segmentation W Hu, H Sheng, J Wu, Y Li, T Liu, Y Wang, Y Wen 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 10 | 2020 |
| HMMer acceleration using systolic array based reconfigurable architecture Y Sun, P Li, G Gu, Y Wen, Y Liu, D Liu Proceedings of the ACM/SIGDA international symposium on Field programmable …, 2009 | 10 | 2009 |
| Run-time configuration prefetching to reduce the overhead of dynamically reconfiguration B Wu, L Yan, Y Wen, T Chen 23rd IEEE International SOC Conference, 305-308, 2010 | 8 | 2010 |
| A multi-input CNNs with attention for skin lesion classification J Wu, W Hu, Y Wang, Y Wen 2020 IEEE International Conference on Smart Cloud (SmartCloud), 78-83, 2020 | 7 | 2020 |
| Sgap: towards efficient sparse tensor algebra compilation for GPU G Zhang, Y Zhao, Y Tao, Z Yu, G Dai, S Huang, Y Wen, P Petoumenos, ... CCF Transactions on High Performance Computing 5 (2), 210-227, 2023 | 4 | 2023 |
| Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization Y Wen, D Gregg CoRR abs/2006.11967, 2020 | 4 | 2020 |
| A reconfigurable processor architecture combining multi-core and reconfigurable processing units L Yan, B Wu, Y Wen, S Zhang, T Chen Telecommunication Systems 55, 333-344, 2014 | 4 | 2014 |
| Medical big data analysis with attention and large margin loss model for skin lesion application J Wu, H Guo, Y Wen, W Hu, YN Li, TY Liu, XM Liu Journal of Signal Processing Systems 93, 827-839, 2021 | 3 | 2021 |
| An improved heterogeneous dynamic list schedule algorithm W Hu, Y Gan, Y Wen, X Lv, Y Wang, X Zeng, M Qiu Algorithms and Architectures for Parallel Processing: 20th International …, 2020 | 3 | 2020 |
| POSTER: Space and time optimal DNN primitive selection with integer linear programming Y Wen, A Anderson, V Radu, MFP O’Boyle, D Gregg 2019 28th International Conference on Parallel Architectures and Compilation …, 2019 | 3 | 2019 |
| Hardware and software performance in deep learning A Anderson, J Garland, Y Wen, B Barabasz, K Persand, A Vasudevan, ... by Geoff V. Merrett Bashir M. Al-Hashimi. Computing. Institution of …, 2019 | 3 | 2019 |
Michael O'BoyleProfessor of Computer Science, University of EdinburghVerified email at inf.ed.ac.uk
