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Mark Zhao
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2020 – today
- 2024
- [c8]Athinagoras Skiadopoulos, Zhiqiang Xie, Mark Zhao, Qizhe Cai, Saksham Agarwal, Jacob Adelmann, David Ahern, Carlo Contavalli, Michael D. Goldflam, Vitaly Mayatskikh, Raghu Raja, Daniel Walton, Rachit Agarwal, Shrijeet Mukherjee, Christos Kozyrakis:
High-throughput and Flexible Host Networking for Accelerated Computing. OSDI 2024: 405-423 - [i7]Mark Zhao, Emanuel Adamiak, Christos Kozyrakis:
cedar: Composable and Optimized Machine Learning Input Data Pipelines. CoRR abs/2401.08895 (2024) - [i6]Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis:
SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures. CoRR abs/2405.14009 (2024) - 2023
- [c7]Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis:
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. MLSys 2023 - [c6]Mark Zhao, Satadru Pan, Niket Agarwal, Zhaoduo Wen, David Xu, Anand Natarajan, Pavan Kumar, Shiva Shankar P., Ritesh Tijoriwala, Karan Asher, Hao Wu, Aarti Basant, Daniel Ford, Delia David, Nezih Yigitbasi, Pratap Singh, Carole-Jean Wu:
Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training. USENIX ATC 2023: 433-449 - 2022
- [c5]Mark Zhao, Mingyu Gao, Christos Kozyrakis:
ShEF: shielded enclaves for cloud FPGAs. ASPLOS 2022: 1070-1085 - [c4]Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol:
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product. ISCA 2022: 1042-1057 - [i5]Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis:
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. CoRR abs/2211.05239 (2022) - 2021
- [c3]Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. SoCC 2021: 1-17 - [i4]Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. CoRR abs/2102.01887 (2021) - [i3]Mark Zhao, Mingyu Gao, Christos Kozyrakis:
ShEF: Shielded Enclaves for Cloud FPGAs. CoRR abs/2103.03500 (2021) - [i2]Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol:
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training. CoRR abs/2108.09373 (2021)
2010 – 2019
- 2018
- [c2]Andrew Ferraiuolo, Mark Zhao, Andrew C. Myers, G. Edward Suh:
HyperFlow: A Processor Architecture for Nonmalleable, Timing-Safe Information Flow Security. CCS 2018: 1583-1600 - [c1]Mark Zhao, G. Edward Suh:
FPGA-Based Remote Power Side-Channel Attacks. IEEE Symposium on Security and Privacy 2018: 229-244 - [i1]Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou:
To Centralize or Not to Centralize: A Tale of Swarm Coordination. CoRR abs/1805.01786 (2018)
Coauthor Index
aka: Christos Kozyrakis
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last updated on 2024-07-18 21:57 CEST by the dblp team
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