An Extensible Architecture for Distributed Heterogeneous Processing
Frank Luan [2024]

Empowering Large Language Models with Efficient and Automated Systems
Zhuohan Li [2024]

Ensuring Data Freshness Across Clouds for Model Serving
Sarah Wooders [2024]

Environment Generation for Autonomous Agents for Sequential Decision Making
Abdus Salam Azad [2024]

Programming Abstractions & Systems for Autonomous Vehicles
Sukrit Kalra [2024]

Providing Efficient Fault Tolerance in Distributed Systems
Siyuan Zhuang [2024]

Scalable and Efficient Systems for Large Deep Learning Models
Lianmin Zheng [2024]

Secure Systems from Insecure Components
Emma Dauterman [2024]

Sky Computing with Intercloud Brokers
Zhanghao Wu [2024]

Teaching Large Language Models to Use Tools at Scale
Shishir Patil [2024]

Efficient Resource Management for Machine Learning
Romil Bhardwaj [2023]

Towards a Distributed OS for Data-Intensive Cloud Applications
Stephanie Wang [2023]

Towards Robust and Scalable Large Language Models
Paras Jain [2023]

Disruptive Research on Distributed Machine Learning Systems
Guanhua Wang [2022]

Machine Learning for Query Optimization
Zongheng Yang [2022]

NumS: Scalable Array Programming for the Cloud
Huseyin Elibol [2022]

Scalable Reinforcement Learning Systems and their Applications
Eric Liang [2021]

Machine Learning in Compiler Optimization
Ameer Haj Ali [2020]

Secure, Expressive, and Debuggable Large-Scale Analytics
Ankur Dave [2020]

Sharing without Showing: Building Secure Collaborative Systems
Wenting Zheng [2020]

Queries on Compressed Data
Anurag Khandelwal [2019]

Ray: A Distributed Execution Engine for the Machine Learning Ecosystem
Philipp Moritz [2019]

Scalable Systems for Large Scale Dynamic Connected Data Processing
Anand Padmanabha Iyer [2019]

Towards Practical Serverless Analytics
Qifan Pu [2019]

Alluxio: A Virtual Distributed File System
Haoyuan Li [2018]

Go with the Flow: Graphs, Streaming and Relational Computations over Distributed Dataflow
Reynold Shi Xin [2018]

System Design for Large Scale Machine Learning
Shivaram Venkataraman [2017]

Coflow: A Networking Abstraction for Distributed Data-Parallel Applications
Mosharaf Chowdhury [2015]

Coordination Avoidance in Distributed Databases
Peter Bailis [2015]

Queries with Bounded Errors & Bounded Response Times on Very Large Data
Sameer Agarwal [2014]

An Architecture for Fast and General Data Processing on Large Clusters
Matei Zaharia [2013]

Optimizing Parallel Job Performance in Data-Intensive Clusters
Ganesh Ananthanarayanan [2013]

Design and Implementation of a Hypervisor-Based Platform for Dynamic Information Flow Tracking in a Distributed Environment
Andrey Ermolinskiy [2011]

Replay Debugging for the Datacenter
Gautam Altekar [2011]

Designing Distributed Systems for Heterogeneity
Philip Brighten Godfrey [2009]

On the Use of Context in Network Intrusion Detection Systems
Jayanth Kumar Kannan [2009]

Packet Classification as a Fundamental Network Primitive
Dilip Antony Joseph [2009]

Improving Visibility of Distributed Systems through Execution Tracing
Rodrigo Fonseca [2008]

Design of a Resilient and Customizable Routing Architecture
Karthik Kalambur Lakshminarayanan [2007]

Scheduling and Fairness in Multi-hop Wireless Networks
Ananth Rao [2007]

Replay Debugging for Distributed Applications
Dennis Michael Geels [2006]

The Design and Implementation of Declarative Networks
Boon Thau Loo [2006]

A Scalable Content-Addressable Network
Sylvia P. Ratnasamy [2002]