| FPGA-based remote power side-channel attacks M Zhao, GE Suh 2018 IEEE Symposium on Security and Privacy (SP), 229-244, 2018 | 344 | 2018 |
| 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 | 78 | 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 | 73 | 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 | 72* | 2022 |
| ShEF: Shielded Enclaves for Cloud FPGAs M Zhao, M Gao, C Kozyrakis Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 38 | 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 | 12 | 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 | 4 | 2023 |
| SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures S Gandhi, M Zhao, A Skiadopoulos, C Kozyrakis arXiv preprint arXiv:2405.14009, 2024 | | 2024 |
| cedar: Composable and Optimized Machine Learning Input Data Pipelines M Zhao, E Adamiak, C Kozyrakis arXiv preprint arXiv:2401.08895, 2024 | | 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 | | 2023 |
| High-throughput and Flexible Host Networking via Control and Data Path Physical Separation A Skiadopoulos, Z Xie, M Zhao, Q Cai, S Agarwal, J Adelmann, D Ahern, ... | | |
Christos KozyrakisStanford University在 stanford.edu 的电子邮件经过验证
