5th Year M.S. | M.S.

5th Year M.S.

Efficient Distributed LLM Inference with Dynamic Partitioning
Isaac Ong [2024]

Going Beyond Hyperscaler Clouds in the Sky Ecosystem with SkyPilot
Edward Zeng [2023]

Safe and Sample-Efficient Reinforcement Learning
Michael Luo [2021]

Deep Autoregressive Models for Join Cardinality Estimation
Amog Kamsetty [2020]


Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate
Audrey Cheng [2022]

Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng [2021]

Learning Self-Supervised Representations of Code Functionality
Paras Jain [2021]

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li [2021]

Practical Volume-Based Attacks on Encrypted Databases
Stephanie Wang [2019]

Hold ’em or Fold ’em? Aggregation Queries under Performance Variations
Gautam Kumar [2015]

Adaptive Stream Processing using Dynamic Batch Sizing
Tathagata Das [2014]

Improving TCP latency with super-packets
David Schinazi [2014]

Scalable Scheduling for Sub-Second Parallel Jobs
Patrick Wendell [2013]

Cake: Enabling High-level SLOs on Shared Storage Systems
Andrew Wang [2012]

Re-optimizing Data Parallel Computing
Sameer Agarwal [2012]