| FPGA-based remote power side-channel attacks M Zhao, GE Suh 2018 IEEE symposium on security and privacy (SP), 229-244, 2018 | 387 | 2018 |
| Understanding data storage and ingestion for large-scale deep recommendation model training M Zhao, N Agarwal, A Basant, B Gedik, S Pan, M Ozdal, R Komuravelli, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 112* | 2022 |
| Llama: A heterogeneous & serverless framework for auto-tuning video analytics pipelines F Romero, M Zhao, NJ Yadwadkar, C Kozyrakis Proceedings of the ACM symposium on cloud computing, 1-17, 2021 | 103 | 2021 |
| HyperFlow: A processor architecture for nonmalleable, timing-safe information flow security A Ferraiuolo, M Zhao, AC Myers, GE Suh Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 79 | 2018 |
| ShEF: Shielded Enclaves for Cloud FPGAs M Zhao, M Gao, C Kozyrakis Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 57 | 2022 |
| To centralize or not to centralize: A tale of swarm coordination J Hu, A Bruno, D Zagieboylo, M Zhao, B Ritchken, B Jackson, JY Chae, ... arXiv preprint arXiv:1805.01786, 2018 | 18 | 2018 |
| RecD: Deduplication for end-to-end deep learning recommendation model training infrastructure M Zhao, D Choudhary, D Tyagi, A Somani, M Kaplan, SH Lin, S Pumma, ... Proceedings of Machine Learning and Systems 5, 754-767, 2023 | 9 | 2023 |
| FPGA-based remote power side-channel attacks. In 2018 IEEE Symp. on Security and Privacy (SP) M Zhao, GE Suh IEEE, 2018 | 7 | 2018 |
| cedar: Composable and optimized machine learning input data pipelines M Zhao, E Adamiak, C Kozyrakis arXiv e-prints, arXiv: 2401.08895, 2024 | 5 | 2024 |
| High-throughput and flexible host networking for accelerated computing A Skiadopoulos, Z Xie, M Zhao, Q Cai, S Agarwal, J Adelmann, D Ahern, ... 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2024 | 4 | 2024 |
| Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training M Zhao, S Pan, N Agarwal, Z Wen, D Xu, A Natarajan, P Kumar, ... 2023 USENIX Annual Technical Conference (USENIX ATC 23), 433-449, 2023 | 3 | 2023 |
| Remote power side-channel attacks on FPGAs M Zhao, GE Suh IEEE Design & Test, 2024 | 2 | 2024 |
| Slipstream: Adapting pipelines for distributed training of large dnns amid failures S Gandhi, M Zhao, A Skiadopoulos, C Kozyrakis arXiv e-prints, arXiv: 2405.14009, 2024 | 2 | 2024 |
| ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation S Gandhi, M Zhao, A Skiadopoulos, C Kozyrakis Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles …, 2024 | 1 | 2024 |
| Adaptive Semantic Prompt Caching with VectorQ LG Schroeder, S Liu, A Cuadron, M Zhao, S Krusche, A Kemper, ... arXiv preprint arXiv:2502.03771, 2025 | | 2025 |
| cedar: Optimized and Unified Machine Learning Input Data Pipelines M Zhao, E Adamiak, C Kozyrakis arXiv preprint arXiv:2401.08895, 2024 | | 2024 |
Christos KozyrakisStanford Universityยืนยันอีเมลแล้วที่ stanford.edu