| A hybrid framework for fast and accurate GPU performance estimation through source-level analysis and trace-based simulation X Wang, K Huang, A Knoll, X Qian 2019 IEEE International Symposium on High Performance Computer Architecture …, 2019 | 27 | 2019 |
| Performance optimisation of parallelized adas applications in fpga-gpu heterogeneous systems: A case study with lane detection X Wang, K Huang, A Knoll IEEE Transactions on Intelligent Vehicles 4 (4), 519-531, 2019 | 10 | 2019 |
| Implementing and parallelizing real-time lane detection on heterogeneous platforms X Wang, C Kiwus, C Wu, B Hu, K Huang, A Knoll 2018 IEEE 29th International Conference on Application-specific Systems …, 2018 | 8 | 2018 |
| Exploring fpga-gpu heterogeneous architecture for adas: Towards performance and energy X Wang, L Liu, K Huang, A Knoll Algorithms and Architectures for Parallel Processing: 17th International …, 2017 | 7 | 2017 |
| Efficient performance estimation and work-group size pruning for OpenCl kernels on GPUs X Wang, X Qian, A Knoll, K Huang IEEE Transactions on Parallel and Distributed Systems 31 (5), 1089-1106, 2019 | 3 | 2019 |
| Peak Temperature Minimization for Hard Real-Time Systems Using DVS and DPM M Zhou, L Cheng, M Dell’Antonio, X Wang, Z Bing, MA Nasseri, K Huang, ... Journal of Circuits, Systems and Computers 28 (06), 1950102, 2019 | 2 | 2019 |
| h²ECU: A High-Performance and Heterogeneous Electronic Control Unit for Automated Driving X Wang, K Huang, L Chen, A Knoll IEEE Micro 38 (5), 53-62, 2018 | 2 | 2018 |
| Improving the performance of adas application in heterogeneous context: A case of lane detection X Wang, M Cui, K Huang, A Knoll, L Chen 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 2 | 2017 |
Kai HuangSun Yat-sen UniversityVerifisert e-postadresse på in.tum.de
