| SCALE-Sim: Systolic CNN Accelerator Simulator A Samajdar, Y Zhu, P Whatmough, M Mattina, T Krishna arXiv preprint arXiv:1811.02883, 2018 | 411* | 2018 |
| High-Performance and Energy-Efficient Mobile Web Browsing on Big/Little Systems Y Zhu, VJ Reddi Proceedings of the 19th High Performance Computer Architecture, 2013 | 216 | 2013 |
| Mobile CPU's rise to power: Quantifying the impact of generational mobile CPU design trends on performance, energy, and user satisfaction M Halpern, Y Zhu, VJ Reddi 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 202 | 2016 |
| A systematic methodology for characterizing scalability of dnn accelerators using scale-sim A Samajdar, JM Joseph, Y Zhu, P Whatmough, M Mattina, T Krishna 2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020 | 196 | 2020 |
| Event-based scheduling for energy-efficient QoS (eQoS) in mobile Web applications Y Zhu, M Halpern, VJ Reddi High Performance Computer Architecture (HPCA), 2015 IEEE 21st International …, 2015 | 131 | 2015 |
| Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision Y Zhu, A Samajdar, M Mattina, P Whatmough 45th Annual International Symposium on Computer Architecture, 547-560, 2018 | 110 | 2018 |
| A survey of fpga-based robotic computing Z Wan, B Yu, TY Li, J Tang, Y Zhu, Y Wang, A Raychowdhury, S Liu IEEE Circuits and Systems Magazine 21 (2), 48-74, 2021 | 105 | 2021 |
| Mosaic: cross-platform user-interaction record and replay for the fragmented android ecosystem M Halpern, Y Zhu, R Peri, VJ Reddi 2015 IEEE International Symposium on Performance Analysis of Systems and …, 2015 | 99 | 2015 |
| Accelerating sparse dnn models without hardware-support via tile-wise sparsity C Guo, BY Hsueh, J Leng, Y Qiu, Y Guan, Z Wang, X Jia, X Li, M Guo, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 95 | 2020 |
| Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach H Yang, S Gui, Y Zhu, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 94* | 2020 |
| Building the computing system for autonomous micromobility vehicles: Design constraints and architectural optimizations B Yu, W Hu, L Xu, J Tang, S Liu, Y Zhu 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 90 | 2020 |
| Microarchitectural implications of event-driven server-side web applications Y Zhu, D Richins, M Halpern, VJ Reddi Proceedings of the 48th International Symposium on Microarchitecture, 762-774, 2015 | 82 | 2015 |
| WebCore: Architectural Support for Mobile Web Browsing Y Zhu, VJ Reddi Proceeding of the 41st annual International Symposium on Computer Architecture, 2014 | 78 | 2014 |
| S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration ZG Liu, PN Whatmough, Y Zhu, M Mattina 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 74 | 2022 |
| OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization C Guo, J Tang, W Hu, J Leng, C Zhang, F Yang, Y Liu, M Guo, Y Zhu Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 73 | 2023 |
| Energy-efficient video processing for virtual reality Y Leng, CC Chen, Q Sun, J Huang, Y Zhu Proceedings of the 46th International Symposium on Computer Architecture, 91-103, 2019 | 70 | 2019 |
| Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation Y Feng, B Tian, T Xu, P Whatmough, Y Zhu 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 69 | 2020 |
| SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation C Guo, Y Qiu, J Leng, X Gao, C Zhang, Y Liu, F Yang, Y Zhu, M Guo arXiv preprint arXiv:2202.07471, 2022 | 66 | 2022 |
| Adversarial Defense Through Network Profiling Based Path Extraction Y Qiu, J Leng, C Guo, Q Chen, C Li, M Guo, Y Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking H Yang, Y Zhu, J Liu arXiv preprint arXiv:1806.04321, 2018 | 60* | 2018 |
Vijay Janapa ReddiHarvard UniversityE-mail megerősítve itt: eecs.harvard.edu
