| Nn-meter: Towards accurate latency prediction of deep-learning model inference on diverse edge devices LL Zhang, S Han, J Wei, N Zheng, T Cao, Y Yang, Y Liu Proceedings of the 19th Annual International Conference on Mobile Systems …, 2021 | 198 | 2021 |
| The yin and yang of power and performance for asymmetric hardware and managed software T Cao, SM Blackburn, T Gao, KS McKinley ACM SIGARCH Computer Architecture News 40 (3), 225-236, 2012 | 145 | 2012 |
| Parallel processing systems for big data: a survey Y Zhang, T Cao, S Li, X Tian, L Yuan, H Jia, AV Vasilakos Proceedings of the IEEE 104 (11), 2114-2136, 2016 | 128 | 2016 |
| Looking back on the language and hardware revolutions: measured power, performance, and scaling H Esmaeilzadeh, T Cao, Y Xi, SM Blackburn, KS McKinley ACM SIGARCH Computer Architecture News 39 (1), 319-332, 2011 | 115 | 2011 |
| Panthera: Holistic memory management for big data processing over hybrid memories C Wang, H Cui, T Cao, J Zigman, H Volos, O Mutlu, F Lv, X Feng, GH Xu Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 93 | 2019 |
| CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. F Jia, D Zhang, T Cao, S Jiang, Y Liu, J Ren, Y Zhang MobiSys 22, 209-221, 2022 | 82 | 2022 |
| Asymo: scalable and efficient deep-learning inference on asymmetric mobile cpus M Wang, S Ding, T Cao, Y Liu, F Xu Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 81 | 2021 |
| Pre-gated moe: An algorithm-system co-design for fast and scalable mixture-of-expert inference R Hwang, J Wei, S Cao, C Hwang, X Tang, T Cao, M Yang 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture …, 2024 | 73 | 2024 |
| Bitdistiller: Unleashing the potential of sub-4-bit llms via self-distillation D Du, Y Zhang, S Cao, J Guo, T Cao, X Chu, N Xu arXiv preprint arXiv:2402.10631, 2024 | 66 | 2024 |
| Seerattention: Learning intrinsic sparse attention in your llms Y Gao, Z Zeng, D Du, S Cao, P Zhou, J Qi, J Lai, HKH So, T Cao, F Yang, ... arXiv preprint arXiv:2410.13276, 2024 | 64 | 2024 |
| Hybrid slm and llm for edge-cloud collaborative inference Z Hao, H Jiang, S Jiang, J Ren, T Cao Proceedings of the Workshop on Edge and Mobile Foundation Models, 36-41, 2024 | 61 | 2024 |
| WADE: Writeback-aware dynamic cache management for NVM-based main memory system Z Wang, S Shan, T Cao, J Gu, Y Xu, S Mu, Y Xie, DA Jiménez ACM Transactions on Architecture and Code Optimization (TACO) 10 (4), 1-21, 2013 | 59 | 2013 |
| T-mac: Cpu renaissance via table lookup for low-bit llm deployment on edge J Wei, S Cao, T Cao, L Ma, L Wang, Y Zhang, M Yang Proceedings of the Twentieth European Conference on Computer Systems, 278-292, 2025 | 45 | 2025 |
| Looking back and looking forward: power, performance, and upheaval H Esmaeilzadeh, T Cao, X Yang, SM Blackburn, KS McKinley Communications of the ACM 55 (7), 105-114, 2012 | 45 | 2012 |
| Ladder: Enabling efficient {Low-Precision} deep learning computing through hardware-aware tensor transformation L Wang, L Ma, S Cao, Q Zhang, J Xue, Y Shi, N Zheng, Z Miao, F Yang, ... 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2024 | 43 | 2024 |
| Integer or floating point? new outlooks for low-bit quantization on large language models Y Zhang, L Zhao, S Cao, S Zhang, W Wang, T Cao, F Yang, M Yang, ... 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | 40 | 2024 |
| Flexnn: Efficient and adaptive dnn inference on memory-constrained edge devices X Li, Y Li, Y Li, T Cao, Y Liu Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024 | 40 | 2024 |
| Pre-gated moe: An algorithm-system co-design for fast and scalable mixture-of-expert inference. In 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) R Hwang, J Wei, S Cao, C Hwang, X Tang, T Cao, M Yang IEEE 2, 1018-1031, 2024 | 40 | 2024 |
| Lut-nn: Empower efficient neural network inference with centroid learning and table lookup X Tang, Y Wang, T Cao, LL Zhang, Q Chen, D Cai, Y Liu, M Yang Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 36 | 2023 |
| Vptq: Extreme low-bit vector post-training quantization for large language models Y Liu, J Wen, Y Wang, S Ye, LL Zhang, T Cao, C Li, M Yang arXiv preprint arXiv:2409.17066, 2024 | 34 | 2024 |
Mao Yang 杨懋Microsoft ResearchVerified email at microsoft.com
