M.S.
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]
5th Year M.S.
Safe and Sample-Efficient Reinforcement Learning
Michael Luo [2021]
Deep Autoregressive Models for Join Cardinality Estimation
Amog Kamsetty [2020]