Mark Zhao

According to our database, Mark Zhao authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

cedar: Composable and Optimized Machine Learning Input Data Pipelines.

Mark Zhao, Emanuel Adamiak, Christos Kozyrakis

CoRR, 2024

2023

Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training.

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

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2022

RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.

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

CoRR, 2022

Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.

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

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

ShEF: shielded enclaves for cloud FPGAs.

Mark Zhao, Mingyu Gao, Christos Kozyrakis

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.

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

CoRR, 2021

Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.

Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2018

To Centralize or Not to Centralize: A Tale of Swarm Coordination.

Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou

CoRR, 2018

FPGA-Based Remote Power Side-Channel Attacks.

Mark Zhao, G. Edward Suh

Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

HyperFlow: A Processor Architecture for Nonmalleable, Timing-Safe Information Flow Security.

Andrew Ferraiuolo, Mark Zhao, Andrew C. Myers, G. Edward Suh

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018