Mark Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Video Analytics

Top Venues

IEEE Symposium on Security and Privacy

USENIX Annual Technical Conference

Publications

Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis
SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures. CoRR (2024)
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)
Mark Zhao, Emanuel Adamiak, Christos Kozyrakis
cedar: Composable and Optimized Machine Learning Input Data Pipelines. CoRR (2024)
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 Annual Technical Conference (2023)
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)
Mark Zhao, Mingyu Gao, Christos Kozyrakis
ShEF: shielded enclaves for cloud FPGAs. ASPLOS (2022)
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)
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 (2022)
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 (2021)
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. SoCC (2021)
Mark Zhao, Mingyu Gao, Christos Kozyrakis
ShEF: Shielded Enclaves for Cloud FPGAs. CoRR (2021)
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. CoRR (2021)
Mark Zhao, G. Edward Suh
FPGA-Based Remote Power Side-Channel Attacks. IEEE Symposium on Security and Privacy (2018)
Andrew Ferraiuolo, Mark Zhao, Andrew C. Myers, G. Edward Suh
HyperFlow: A Processor Architecture for Nonmalleable, Timing-Safe Information Flow Security. CCS (2018)
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 (2018)