Publications

2021

RubberBand: cloud-based hyperparameter tuning.

Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
RubberBand: cloud-based hyperparameter tuning. EuroSys 2021: 327-342

Publication Year: 2021

Anna: A KVS for Any Scale.

Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Anna: A KVS for Any Scale. IEEE Trans. Knowl. Data Eng. 33(2): 344-358 (2021)

Publication Year: 2021

N-for-1 Auth: N-wise Decentralized Authentication via One Authentication.

Weikeng Chen, Ryan Deng, Raluca Ada Popa:
N-for-1 Auth: N-wise Decentralized Authentication via One Authentication. IACR Cryptol. ePrint Arch. 2021: 342 (2021)

Publication Year: 2021

Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles.

Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica:
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles. CoRR abs/2104.07830 (2021)

Publication Year: 2021

TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models.

Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica:
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR abs/2102.07988 (2021)

Publication Year: 2021

Autoscaling tiered cloud storage in Anna.

Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Autoscaling tiered cloud storage in Anna. VLDB J. 30(1): 25-43 (2021)

Publication Year: 2021

Merkle^2: A Low-Latency Transparency Log System.

Yuncong Hu, Kian Hooshmand, Harika Kalidhindi, Seung Jin Yang, Raluca Ada Popa:
Merkle^2: A Low-Latency Transparency Log System. IACR Cryptol. ePrint Arch. 2021: 453 (2021)

Publication Year: 2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. CoRR abs/2104.14129 (2021)

Publication Year: 2021

TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs.

Anand Padmanabha Iyer, Qifan Pu, Kishan Patel, Joseph E. Gonzalez, Ion Stoica:
TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. NSDI 2021: 337-355

Publication Year: 2021

Twenty Years After: Hierarchical Core-Stateless Fair Queueing.

Zhuolong Yu, Jingfeng Wu, Vladimir Braverman, Ion Stoica, Xin Jin:
Twenty Years After: Hierarchical Core-Stateless Fair Queueing. NSDI 2021: 29-45

Publication Year: 2021

Caerus: NIMBLE Task Scheduling for Serverless Analytics.

Hong Zhang, Yupeng Tang, Anurag Khandelwal, Jingrong Chen, Ion Stoica:
Caerus: NIMBLE Task Scheduling for Serverless Analytics. NSDI 2021: 653-669

Publication Year: 2021

Ownership: A Distributed Futures System for Fine-Grained Tasks.

Stephanie Wang, Eric Liang, Edward Oakes, Benjamin Hindman, Frank Sifei Luan, Audrey Cheng, Ion Stoica:
Ownership: A Distributed Futures System for Fine-Grained Tasks. NSDI 2021: 671-686

Publication Year: 2021

Read-Write Quorum Systems Made Practical.

Michael Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. CoRR abs/2104.04102 (2021)

Publication Year: 2021

What serverless computing is and should become: the next phase of cloud computing.

Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, Joao Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson:
What serverless computing is and should become: the next phase of cloud computing. Commun. ACM 64(5): 76-84 (2021)

Publication Year: 2021

Interactive checks for coordination avoidance.

Michael Whittaker, Joseph M. Hellerstein:
Interactive checks for coordination avoidance. VLDB J. 30(1): 71-92 (2021)

Publication Year: 2021

Read-Write Quorum Systems Made Practical.

Michael Whittaker, Aleksey Charapko, Joseph M. Hellerstein, Heidi Howard, Ion Stoica:
Read-Write Quorum Systems Made Practical. PaPoC@EuroSys 2021: 7:1-7:8

Publication Year: 2021

New Directions in Cloud Programming.

Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Matthew Milano:
New Directions in Cloud Programming. CoRR abs/2101.01159 (2021)

Publication Year: 2021

New Directions in Cloud Programming.

Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Matthew Milano:
New Directions in Cloud Programming. CIDR 2021

Publication Year: 2021

Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.

Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR abs/2103.02145 (2021)

Publication Year: 2021

Towards Scalable Dataframe Systems

Aditya Parameswaran, Devin Petersohn, Doris Jung-Lin Lee, Doris Xin, Joseph Gonzalez, Anthony Joseph, Joe Hellerstein, Stephen Macke,

*46th Int'l Conf. on Very Large Data Bases*, Tokyo, Japan. August 2020

Publication Year: 2021

2020

An Off-Chip Attack on Hardware Enclaves via the Memory Bus.

Dayeol Lee, Dongha Jung, Ian T. Fang, Chia-che Tsai, Raluca Ada Popa:
An Off-Chip Attack on Hardware Enclaves via the Memory Bus. USENIX Security Symposium 2020: 487-504

Publication Year: 2020

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline.

Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov:
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR abs/2001.02338 (2020)

Publication Year: 2020

Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968

Publication Year: 2020

Mechanism Design with Bandit Feedback.

Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Mechanism Design with Bandit Feedback. CoRR abs/2004.08924 (2020)

Publication Year: 2020

Ansor: Generating High-Performance Tensor Programs for Deep Learning.

Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica:
Ansor: Generating High-Performance Tensor Programs for Deep Learning. OSDI 2020: 863-879

Publication Year: 2020

Serverless Boom or Bust? An Analysis of Economic Incentives.

Xiayue Charles Lin, Joseph E. Gonzalez, Joseph M. Hellerstein:
Serverless Boom or Bust? An Analysis of Economic Incentives. HotCloud 2020

Publication Year: 2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers.

Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin:
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers. OSDI 2020: 1225-1240

Publication Year: 2020

Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms.

Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms. EuroS&P 2020: 535-551

Publication Year: 2020

Distributed Reinforcement Learning is a Dataflow Problem.

Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica:
Distributed Reinforcement Learning is a Dataflow Problem. CoRR abs/2011.12719 (2020)

Publication Year: 2020

Blink: Fast and Generic Collectives for Distributed ML.

Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil R. Devanur, Ion Stoica:
Blink: Fast and Generic Collectives for Distributed ML. MLSys 2020

Publication Year: 2020

Towards Scalable Dataframe Systems.

Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13(11): 2033-2046 (2020)

Publication Year: 2020

Keeping CALM: when distributed consistency is easy.

Joseph M. Hellerstein, Peter Alvaro:
Keeping CALM: when distributed consistency is easy. Commun. ACM 63(9): 72-81 (2020)

Publication Year: 2020

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.

Ameer Haj-Ali, Qijing (Jenny) Huang, William Moses, John Xiang, Krste Asanovic, John Wawrzynek, Ion Stoica:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. MLSys 2020

Publication Year: 2020

Hindsight Logging for Model Training.

Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph E. Gonzalez, Joseph M. Hellerstein, Koushik Sen:
Hindsight Logging for Model Training. CoRR abs/2006.07357 (2020)

Publication Year: 2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report).

Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin:
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report). CoRR abs/2010.05969 (2020)

Publication Year: 2020

Winds from Seattle: Database Research Directions.

Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker, Joseph M. Hellerstein:
Winds from Seattle: Database Research Directions. Proc. VLDB Endow. 13(12): 3516 (2020)

Publication Year: 2020

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization.

Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys 2020

Publication Year: 2020

Hindsight Logging for Model Training.

Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen:
Hindsight Logging for Model Training. Proc. VLDB Endow. 14(4): 682-693 (2020)

Publication Year: 2020

AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.

Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning. CoRR abs/2003.00671 (2020)

Publication Year: 2020

Practical Volume-Based Attacks on Encrypted Databases.

Rishabh Poddar, Stephanie Wang, Jianan Lu, Raluca Ada Popa:
Practical Volume-Based Attacks on Encrypted Databases. CoRR abs/2008.06627 (2020)

Publication Year: 2020

Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing.

Jeffrey Ichnowski, William Lee, Victor Murta, Samuel Paradis, Ron Alterovitz, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing. ICRA 2020: 4232-4238

Publication Year: 2020

Metal: A Metadata-Hiding File-Sharing System.

Weikeng Chen, Raluca Ada Popa:
Metal: A Metadata-Hiding File-Sharing System. IACR Cryptol. ePrint Arch. 2020: 83 (2020)

Publication Year: 2020

Systems and ML at RISELab.

Ion Stoica:
Systems and ML at RISELab. HotCloud 2020

Publication Year: 2020

Delphi: A Cryptographic Inference Service for Neural Networks.

Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, Raluca Ada Popa:
Delphi: A Cryptographic Inference Service for Neural Networks. USENIX Security Symposium 2020: 2505-2522

Publication Year: 2020

Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App.

Harry Zhang, Jeffrey Ichnowski, Yahav Avigal, Joseph Gonzales, Ion Stoica, Ken Goldberg:
Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App. ICRA 2020: 552-558

Publication Year: 2020

Civet: An Efficient Java Partitioning Framework for Hardware Enclaves.

Chia-che Tsai, Jeongseok Son, Bhushan Jain, John McAvey, Raluca Ada Popa, Donald E. Porter:
Civet: An Efficient Java Partitioning Framework for Hardware Enclaves. USENIX Security Symposium 2020: 505-522

Publication Year: 2020

FetchSGD: Communication-Efficient Federated Learning with Sketching.

Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora:
FetchSGD: Communication-Efficient Federated Learning with Sketching. ICML 2020: 8253-8265

Publication Year: 2020

NeuroCard: One Cardinality Estimator for All Tables.

Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Xi Chen, Ion Stoica:
NeuroCard: One Cardinality Estimator for All Tables. CoRR abs/2006.08109 (2020)

Publication Year: 2020

A fault-tolerance shim for serverless computing.

Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro:
A fault-tolerance shim for serverless computing. EuroSys 2020: 15:1-15:15

Publication Year: 2020

NeuroVectorizer: end-to-end vectorization with deep reinforcement learning.

Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO 2020: 242-255

Publication Year: 2020

B2: Bridging Code and Interactive Visualization in Computational Notebooks.

Yifan Wu, Joseph M. Hellerstein, Arvind Satyanarayan:
B2: Bridging Code and Interactive Visualization in Computational Notebooks. UIST 2020: 152-165

Publication Year: 2020

RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.

Bin Li, Yipeng Wang, Ren Wang, Charlie Tai, Ravi R. Iyer, Zhu Zhou, Andrew Herdrich, Tong Zhang, Ameer Haj-Ali, Ion Stoica, Krste Asanovic:
RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization. NetSoft 2020: 335-343

Publication Year: 2020

Oblivious coopetitive analytics using hardware enclaves.

Ankur Dave, Chester Leung, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica:
Oblivious coopetitive analytics using hardware enclaves. EuroSys 2020: 39:1-39:17

Publication Year: 2020

Serverless linear algebra.

Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman:
Serverless linear algebra. SoCC 2020: 281-295

Publication Year: 2020

PPMLP 2020: Workshop on Privacy-Preserving Machine Learning In Practice.

Benyu Zhang, Matei Zaharia, Shouling Ji, Raluca Ada Popa, Guofei Gu:
PPMLP 2020: Workshop on Privacy-Preserving Machine Learning In Practice. CCS 2020: 2139-2140

Publication Year: 2020

DORY: An Encrypted Search System with Distributed Trust.

Emma Dauterman, Eric Feng, Ellen Luo, Raluca Ada Popa, Ion Stoica:
DORY: An Encrypted Search System with Distributed Trust. OSDI 2020: 1101-1119

Publication Year: 2020

Transactional Causal Consistency for Serverless Computing.

Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Transactional Causal Consistency for Serverless Computing. SIGMOD Conference 2020: 83-97

Publication Year: 2020

InferLine: latency-aware provisioning and scaling for prediction serving pipelines.

Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo, Corey Zumar, Ion Stoica, Joseph Gonzalez, Alexey Tumanov:
InferLine: latency-aware provisioning and scaling for prediction serving pipelines. SoCC 2020: 477-491

Publication Year: 2020

FetchSGD: Communication-Efficient Federated Learning with Sketching.

Publication Year: 2020

Systems and ML: When the Sum is Greater than Its Parts.

Ion Stoica:
Systems and ML: When the Sum is Greater than Its Parts. SIGMOD Conference 2020: 1

Publication Year: 2020

Variable Skipping for Autoregressive Range Density Estimation.

Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Peter Chen:
Variable Skipping for Autoregressive Range Density Estimation. ICML 2020: 6040-6049

Publication Year: 2020

Variable Skipping for Autoregressive Range Density Estimation.

Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen:
Variable Skipping for Autoregressive Range Density Estimation. CoRR abs/2007.05572 (2020)

Publication Year: 2020

Ansor : Generating High-Performance Tensor Programs for Deep Learning.

Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica:
Ansor : Generating High-Performance Tensor Programs for Deep Learning. CoRR abs/2006.06762 (2020)

Publication Year: 2020

Bipartisan Paxos: A Modular State Machine Replication Protocol.

Michael Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
Bipartisan Paxos: A Modular State Machine Replication Protocol. CoRR abs/2003.00331 (2020)

Publication Year: 2020

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism.

Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez:
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism. CoRR abs/2011.00330 (2020)

Publication Year: 2020

Facilitating Exploration with Interaction Snapshots under High Latency.

Yifan Wu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Facilitating Exploration with Interaction Snapshots under High Latency. IEEE VIS (Short Papers) 2020: 136-140

Publication Year: 2020

Online Learning Demands in Max-min Fairness.

Kirthevasan Kandasamy, Gur-Eyal Sela, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Online Learning Demands in Max-min Fairness. CoRR abs/2012.08648 (2020)

Publication Year: 2020

A Fault-Tolerance Shim for Serverless Computing.

Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro:
A Fault-Tolerance Shim for Serverless Computing. CoRR abs/2003.06007 (2020)

Publication Year: 2020

A FaaS File System for Serverless Computing.

Johann Schleier-Smith, Leonhard Holz, Nathan Pemberton, Joseph M. Hellerstein:
A FaaS File System for Serverless Computing. CoRR abs/2009.09845 (2020)

Publication Year: 2020

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.

Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR abs/2012.10557 (2020)

Publication Year: 2020

Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report].

Michael Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica:
Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]. CoRR abs/2007.09468 (2020)

Publication Year: 2020

NeuroCard: One Cardinality Estimator for All Tables.

Zongheng Yang, Amog Kamsetty, Sifei Luan, Eric Liang, Yan Duan, Peter Chen, Ion Stoica:
NeuroCard: One Cardinality Estimator for All Tables. Proc. VLDB Endow. 14(1): 61-73 (2020)

Publication Year: 2020

Optimizing Prediction Serving on Low-Latency Serverless Dataflow.

Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu, Joseph E. Gonzalez, Joseph M. Hellerstein:
Optimizing Prediction Serving on Low-Latency Serverless Dataflow. CoRR abs/2007.05832 (2020)

Publication Year: 2020

Cloudburst: Stateful Functions-as-a-Service.

Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Joseph Gonzalez, Joseph M. Hellerstein, Alexey Tumanov:
Cloudburst: Stateful Functions-as-a-Service. Proc. VLDB Endow. 13(11): 2438-2452 (2020)

Publication Year: 2020

Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics.

Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein:
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics. CoRR abs/2010.13752 (2020)

Publication Year: 2020

Practical Volume-Based Attacks on Encrypted Databases.

Rishabh Poddar, Stephanie Wang, Jianan Lu, Raluca Ada Popa:
Practical Volume-Based Attacks on Encrypted Databases. EuroS&P 2020: 354-369

Publication Year: 2020

Secure Collaborative Training and Inference for XGBoost.

Andrew Law, Chester Leung, Rishabh Poddar, Raluca Ada Popa, Chenyu Shi, Octavian Sima, Chaofan Yu, Xingmeng Zhang, Wenting Zheng:
Secure Collaborative Training and Inference for XGBoost. CoRR abs/2010.02524 (2020)

Publication Year: 2020

DORY: An Encrypted Search System with Distributed Trust.

Emma Dauterman, Eric Feng, Ellen Luo, Raluca Ada Popa, Ion Stoica:
DORY: An Encrypted Search System with Distributed Trust. IACR Cryptol. ePrint Arch. 2020: 1280 (2020)

Publication Year: 2020

Ghostor: Toward a Secure Data-Sharing System from Decentralized Trust.

Yuncong Hu, Sam Kumar, Raluca Ada Popa:
Ghostor: Toward a Secure Data-Sharing System from Decentralized Trust. IACR Cryptol. ePrint Arch. 2020: 648 (2020)

Publication Year: 2020

Hoplite: Efficient Collective Communication for Task-Based Distributed Systems.

Siyuan Zhuang, Zhuohan Li, Danyang Zhuo, Stephanie Wang, Eric Liang, Robert Nishihara, Philipp Moritz, Ion Stoica:
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. CoRR abs/2002.05814 (2020)

Publication Year: 2020

Visor: Privacy-Preserving Video Analytics as a Cloud Service.

Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa:
Visor: Privacy-Preserving Video Analytics as a Cloud Service. CoRR abs/2006.09628 (2020)

Publication Year: 2020

Scaling Replicated State Machines with Compartmentalization [Technical Report].

Michael Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
Scaling Replicated State Machines with Compartmentalization [Technical Report]. CoRR abs/2012.15762 (2020)

Publication Year: 2020

Checking Invariant Confluence, In Whole or In Parts.

Michael Whittaker, Joseph M. Hellerstein:
Checking Invariant Confluence, In Whole or In Parts. SIGMOD Rec. 49(1): 7-14 (2020)

Publication Year: 2020

Cloudburst: Stateful Functions-as-a-Service.

Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Jose M. Faleiro, Joseph E. Gonzalez, Joseph M. Hellerstein, Alexey Tumanov:
Cloudburst: Stateful Functions-as-a-Service. CoRR abs/2001.04592 (2020)

Publication Year: 2020

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks.

Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. ICLR 2020

Publication Year: 2020

Contrastive Code Representation Learning.

Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph E. Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. CoRR abs/2007.04973 (2020)

Publication Year: 2020

Delphi: A Cryptographic Inference Service for Neural Networks.

Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, Raluca Ada Popa:
Delphi: A Cryptographic Inference Service for Neural Networks. IACR Cryptol. ePrint Arch. 2020: 50 (2020)

Publication Year: 2020

ProTuner: Tuning Programs with Monte Carlo Tree Search.

Ameer Haj-Ali, Hasan Genc, Qijing Huang, William Moses, John Wawrzynek, Krste Asanovic, Ion Stoica:
ProTuner: Tuning Programs with Monte Carlo Tree Search. CoRR abs/2005.13685 (2020)

Publication Year: 2020

Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics.

Rishabh Poddar, Sukrit Kalra, Avishay Yanai, Ryan Deng, Raluca Ada Popa, Joseph M. Hellerstein:
Senate: A Maliciously-Secure MPC Platform for Collaborative Analytics. IACR Cryptol. ePrint Arch. 2020: 1350 (2020)

Publication Year: 2020

Metal: A Metadata-Hiding File-Sharing System.

Weikeng Chen, Raluca Ada Popa:
Metal: A Metadata-Hiding File-Sharing System. NDSS 2020

Publication Year: 2020

Towards Scalable Dataframe Systems.

Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
Towards Scalable Dataframe Systems. CoRR abs/2001.00888 (2020)

Publication Year: 2020

Ghostor: Toward a Secure Data-Sharing System from Decentralized Trust.

Yuncong Hu, Sam Kumar, Raluca Ada Popa:
Ghostor: Toward a Secure Data-Sharing System from Decentralized Trust. NSDI 2020: 851-877

Publication Year: 2020

Visor: Privacy-Preserving Video Analytics as a Cloud Service.

Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, Raluca Ada Popa:
Visor: Privacy-Preserving Video Analytics as a Cloud Service. USENIX Security Symposium 2020: 1039-1056

Publication Year: 2020

2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching.

Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. FAST 2019: 143-157

Publication Year: 2019

Looking Back at Postgres.

Joseph M. Hellerstein:
Looking Back at Postgres. CoRR abs/1901.01973 (2019)

Publication Year: 2019

Deep Unsupervised Cardinality Estimation.

Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Peter Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Deep Unsupervised Cardinality Estimation. Proc. VLDB Endow. 13(3): 279-292 (2019)

Publication Year: 2019

DIEL: Transparent Scaling for Interactive Visualization.

Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
DIEL: Transparent Scaling for Interactive Visualization. CoRR abs/1907.00062 (2019)

Publication Year: 2019

NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning.

Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR abs/1909.13639 (2019)

Publication Year: 2019

Neural packet classification.

Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural packet classification. SIGCOMM 2019: 256-269

Publication Year: 2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching.

Publication Year: 2019

Data Wrangling.

Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel:
Data Wrangling. Encyclopedia of Big Data Technologies 2019

Publication Year: 2019

Selectivity Estimation with Deep Likelihood Models.

Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi Chen, Pieter Abbeel, Joseph M. Hellerstein, Sanjay Krishnan, Ion Stoica:
Selectivity Estimation with Deep Likelihood Models. CoRR abs/1905.04278 (2019)

Publication Year: 2019

Constrained Thompson Sampling for Wireless Link Optimization.

Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez, Ion Stoica, Hugo M. Tullberg:
Constrained Thompson Sampling for Wireless Link Optimization. CoRR abs/1902.11102 (2019)

Publication Year: 2019

Lineage stash: fault tolerance off the critical path.

Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica:
Lineage stash: fault tolerance off the critical path. SOSP 2019: 338-352

Publication Year: 2019

Helen: Maliciously Secure Coopetitive Learning for Linear Models.

Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica:
Helen: Maliciously Secure Coopetitive Learning for Linear Models. IEEE Symposium on Security and Privacy 2019: 724-738

Publication Year: 2019

Hierarchical Variational Imitation Learning of Control Programs.

Roy Fox, Richard Shin, William Paul, Yitian Zou, Dawn Song, Ken Goldberg, Pieter Abbeel, Ion Stoica:
Hierarchical Variational Imitation Learning of Control Programs. CoRR abs/1912.12612 (2019)

Publication Year: 2019

Dynamic Space-Time Scheduling for GPU Inference.

Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica:
Dynamic Space-Time Scheduling for GPU Inference. CoRR abs/1901.00041 (2019)

Publication Year: 2019

Communication-efficient Distributed SGD with Sketching.

Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora:
Communication-efficient Distributed SGD with Sketching. NeurIPS 2019: 13144-13154

Publication Year: 2019

Practical Volume-Based Attacks on Encrypted Databases.

Stephanie Wang, Rishabh Poddar, Jianan Lu, Raluca Ada Popa:
Practical Volume-Based Attacks on Encrypted Databases. IACR Cryptol. ePrint Arch. 2019: 1224 (2019)

Publication Year: 2019

Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure.

Qifan Pu, Shivaram Venkataraman, Ion Stoica:
Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure. NSDI 2019: 193-206

Publication Year: 2019

AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning.

Ameer Haj Ali, Qijing Huang, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. CoRR abs/1901.04615 (2019)

Publication Year: 2019

Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks.

Anurag Khandelwal, Rachit Agarwal, Ion Stoica:
Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks. NSDI 2019: 421-436

Publication Year: 2019

Helen: Maliciously Secure Coopetitive Learning for Linear Models.

Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica:
Helen: Maliciously Secure Coopetitive Learning for Linear Models. CoRR abs/1907.07212 (2019)

Publication Year: 2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching.

Publication Year: 2019

Blink: Fast and Generic Collectives for Distributed ML.

Guanhua Wang, Shivaram Venkataraman, Amar Phanishayee, Jorgen Thelin, Nikhil R. Devanur, Ion Stoica:
Blink: Fast and Generic Collectives for Distributed ML. CoRR abs/1910.04940 (2019)

Publication Year: 2019

Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks.

Vidit Saxena, Joakim Jaldén, Joseph E. Gonzalez, Mats Bengtsson, Hugo M. Tullberg, Ion Stoica:
Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks. NetAI@SIGCOMM 2019: 44-49

Publication Year: 2019

Deep Reinforcement Learning in System Optimization.

Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. CoRR abs/1908.01275 (2019)

Publication Year: 2019

AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning.

Qijing Huang, Ameer Haj-Ali, William Moses, John Xiang, Ion Stoica, Krste Asanovic, John Wawrzynek:
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning. FCCM 2019: 308

Publication Year: 2019

AutoPandas: neural-backed generators for program synthesis.

Rohan Bavishi, Caroline Lemieux, Roy Fox, Koushik Sen, Ion Stoica:
AutoPandas: neural-backed generators for program synthesis. Proc. ACM Program. Lang. 3(OOPSLA): 168:1-168:27 (2019)

Publication Year: 2019

CLX: Towards verifiable PBE data transformation.

Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein:
CLX: Towards verifiable PBE data transformation. EDBT 2019: 265-276

Publication Year: 2019

Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection.

Hang Zhu, Zhihao Bai, Jialin Li, Ellis Michael, Dan R. K. Ports, Ion Stoica, Xin Jin:
Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection. CoRR abs/1904.08964 (2019)

Publication Year: 2019

JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT.

Sam Kumar, Yuncong Hu, Michael P. Andersen, Raluca Ada Popa, David E. Culler:
JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT. CoRR abs/1905.13369 (2019)

Publication Year: 2019

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.

Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen:
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. CoRR abs/1905.05393 (2019)

Publication Year: 2019

WAVE: A Decentralized Authorization Framework with Transitive Delegation.

Michael P. Andersen, Sam Kumar, Moustafa AbdelBaky, Gabe Fierro, John Kolb, Hyung-Sin Kim, David E. Culler, Raluca Ada Popa:
WAVE: A Decentralized Authorization Framework with Transitive Delegation. USENIX Security Symposium 2019: 1375-1392

Publication Year: 2019

The OoO VLIW JIT Compiler for GPU Inference.

Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica:
The OoO VLIW JIT Compiler for GPU Inference. CoRR abs/1901.10008 (2019)

Publication Year: 2019

Arx: An Encrypted Database using Semantically Secure Encryption.

Rishabh Poddar, Tobias Boelter, Raluca Ada Popa:
Arx: An Encrypted Database using Semantically Secure Encryption. Proc. VLDB Endow. 12(11): 1664-1678 (2019)

Publication Year: 2019

Communication-efficient distributed SGD with Sketching.

Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora:
Communication-efficient distributed SGD with Sketching. CoRR abs/1903.04488 (2019)

Publication Year: 2019

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization.

Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. CoRR abs/1910.02653 (2019)

Publication Year: 2019

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.

Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel:
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. ICML 2019: 2731-2741

Publication Year: 2019

Autoscaling Tiered Cloud Storage in Anna.

Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Autoscaling Tiered Cloud Storage in Anna. Proc. VLDB Endow. 12(6): 624-638 (2019)

Publication Year: 2019

Keeping CALM: When Distributed Consistency is Easy.

Joseph M. Hellerstein, Peter Alvaro:
Keeping CALM: When Distributed Consistency is Easy. CoRR abs/1901.01930 (2019)

Publication Year: 2019

The Seattle Report on Database Research.

Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019)

Publication Year: 2019

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline.

Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC 2019: 61-73

Publication Year: 2019

Multi-Task Hierarchical Imitation Learning for Home Automation.

Roy Fox, Ron Berenstein, Ion Stoica, Ken Goldberg:
Multi-Task Hierarchical Imitation Learning for Home Automation. CASE 2019: 1-8

Publication Year: 2019

Serverless Computing: One Step Forward, Two Steps Back.

Joseph M. Hellerstein, Jose M. Faleiro, Joseph Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu:
Serverless Computing: One Step Forward, Two Steps Back. CIDR 2019

Publication Year: 2019

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks.

Michael Luo, Jiahao Yao, Richard Liaw, Eric Liang, Ion Stoica:
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks. CoRR abs/1912.00167 (2019)

Publication Year: 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing.

Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, Joao Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson:
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR abs/1902.03383 (2019)

Publication Year: 2019

Neural Packet Classification.

Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural Packet Classification. CoRR abs/1902.10319 (2019)

Publication Year: 2019

Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection.

Publication Year: 2019

SysML: The New Frontier of Machine Learning Systems.

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar:
SysML: The New Frontier of Machine Learning Systems. CoRR abs/1904.03257 (2019)

Publication Year: 2019

Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures.

Hasan Genc, Ameer Haj-Ali, Vighnesh Iyer, Alon Amid, Howard Mao, John Wright, Colin Schmidt, Jerry Zhao, Albert J. Ou, Max Banister, Yakun Sophia Shao, Borivoje Nikolic, Ion Stoica, Krste Asanovic:
Gemmini: An Agile Systolic Array Generator Enabling Systematic Evaluations of Deep-Learning Architectures. CoRR abs/1911.09925 (2019)

Publication Year: 2019

JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT.

Sam Kumar, Yuncong Hu, Michael P. Andersen, Raluca Ada Popa, David E. Culler:
JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT. USENIX Security Symposium 2019: 1519-1536

Publication Year: 2019

Securing Data in Compromised Clouds.

Raluca Ada Popa:
Securing Data in Compromised Clouds. SoCC 2019: 286

Publication Year: 2019

Looking back at Postgres.

Joseph M. Hellerstein:
Looking back at Postgres. Making Databases Work 2019: 205-224

Publication Year: 2019

An Off-Chip Attack on Hardware Enclaves via the Memory Bus.

Dayeol Lee, Dongha Jung, Ian T. Fang, Chia-che Tsai, Raluca Ada Popa:
An Off-Chip Attack on Hardware Enclaves via the Memory Bus. CoRR abs/1912.01701 (2019)

Publication Year: 2019

Programming with Timespans in Interactive Visualizations.

Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
Programming with Timespans in Interactive Visualizations. CoRR abs/1907.00075 (2019)

Publication Year: 2019

2018

Interactive Checks for Coordination Avoidance.

Michael Whittaker, Joseph M. Hellerstein:
Interactive Checks for Coordination Avoidance. Proc. VLDB Endow. 12(1): 14-27 (2018)

Publication Year: 2018

ASAP: Fast, Approximate Graph Pattern Mining at Scale.

Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica:
ASAP: Fast, Approximate Graph Pattern Mining at Scale. OSDI 2018: 745-761

Publication Year: 2018

Self-Service Data Preparation: Research to Practice.

Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel:
Self-Service Data Preparation: Research to Practice. IEEE Data Eng. Bull. 41(2): 23-34 (2018)

Publication Year: 2018

InferLine: ML Inference Pipeline Composition Framework.

Daniel Crankshaw, Gur-Eyal Sela, Corey Zumar, Xiangxi Mo, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
InferLine: ML Inference Pipeline Composition Framework. CoRR abs/1812.01776 (2018)

Publication Year: 2018

numpywren: serverless linear algebra.

Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley:
numpywren: serverless linear algebra. CoRR abs/1810.09679 (2018)

Publication Year: 2018

Tune: A Research Platform for Distributed Model Selection and Training.

Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica:
Tune: A Research Platform for Distributed Model Selection and Training. CoRR abs/1807.05118 (2018)

Publication Year: 2018

Parametrized Hierarchical Procedures for Neural Programming.

Roy Fox, Richard Shin, Sanjay Krishnan, Ken Goldberg, Dawn Song, Ion Stoica:
Parametrized Hierarchical Procedures for Neural Programming. ICLR (Poster) 2018

Publication Year: 2018

Towards Fast and Scalable Graph Pattern Mining.

Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica:
Towards Fast and Scalable Graph Pattern Mining. HotCloud 2018

Publication Year: 2018

Bridging the GAP: towards approximate graph analytics.

Anand Padmanabha Iyer, Aurojit Panda, Shivaram Venkataraman, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica:
Bridging the GAP: towards approximate graph analytics. GRADES/NDA@SIGMOD/PODS 2018: 10:1-10:5

Publication Year: 2018

Oblix: An Efficient Oblivious Search Index.

Pratyush Mishra, Rishabh Poddar, Jerry Chen, Alessandro Chiesa, Raluca Ada Popa:
Oblix: An Efficient Oblivious Search Index. IEEE Symposium on Security and Privacy 2018: 279-296

Publication Year: 2018

DIZK: A Distributed Zero Knowledge Proof System.

Howard Wu, Wenting Zheng, Alessandro Chiesa, Raluca Ada Popa, Ion Stoica:
DIZK: A Distributed Zero Knowledge Proof System. USENIX Security Symposium 2018: 675-692

Publication Year: 2018

Serverless Computing: One Step Forward, Two Steps Back.

Joseph M. Hellerstein, Jose M. Faleiro, Joseph E. Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu:
Serverless Computing: One Step Forward, Two Steps Back. CoRR abs/1812.03651 (2018)

Publication Year: 2018

SafeBricks: Shielding Network Functions in the Cloud.

Rishabh Poddar, Chang Lan, Raluca Ada Popa, Sylvia Ratnasamy:
SafeBricks: Shielding Network Functions in the Cloud. NSDI 2018: 201-216

Publication Year: 2018

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.

Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I. Jordan, Joseph E. Gonzalez, Sergey Levine:
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning. CoRR abs/1803.00101 (2018)

Publication Year: 2018

DIZK: A Distributed Zero Knowledge Proof System.

Howard Wu, Wenting Zheng, Alessandro Chiesa, Raluca Ada Popa, Ion Stoica:
DIZK: A Distributed Zero Knowledge Proof System. IACR Cryptol. ePrint Arch. 2018: 691 (2018)

Publication Year: 2018

Chameleon: scalable adaptation of video analytics.

Junchen Jiang, Ganesh Ananthanarayanan, Peter Bodík, Siddhartha Sen, Ion Stoica:
Chameleon: scalable adaptation of video analytics. SIGCOMM 2018: 253-266

Publication Year: 2018

Chorus: Differential Privacy via Query Rewriting.

Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: Differential Privacy via Query Rewriting. CoRR abs/1809.07750 (2018)

Publication Year: 2018

Eliminating Boundaries in Cloud Storage with Anna.

Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Eliminating Boundaries in Cloud Storage with Anna. CoRR abs/1809.00089 (2018)

Publication Year: 2018

Debugging Distributed Systems with Why-Across-Time Provenance.

Michael Whittaker, Cristina Teodoropol, Peter Alvaro, Joseph M. Hellerstein:
Debugging Distributed Systems with Why-Across-Time Provenance. SoCC 2018: 333-346

Publication Year: 2018

Generalized Search Tree.

Joseph M. Hellerstein:
Generalized Search Tree. Encyclopedia of Database Systems (2nd ed.) 2018

Publication Year: 2018

Anna: A KVS for Any Scale.

Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Anna: A KVS for Any Scale. ICDE 2018: 401-412

Publication Year: 2018

Making Sense of Asynchrony in Interactive Data Visualizations.

Yifan Wu, Larry Xu, Remco Chang, Joseph M. Hellerstein, Eugene Wu:
Making Sense of Asynchrony in Interactive Data Visualizations. CoRR abs/1806.01499 (2018)

Publication Year: 2018

Learning to Optimize Join Queries With Deep Reinforcement Learning.

Sanjay Krishnan, Zongheng Yang, Ken Goldberg, Joseph M. Hellerstein, Ion Stoica:
Learning to Optimize Join Queries With Deep Reinforcement Learning. CoRR abs/1808.03196 (2018)

Publication Year: 2018

Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark.

Michael Armbrust, Tathagata Das, Joseph Torres, Burak Yavuz, Shixiong Zhu, Reynold Xin, Ali Ghodsi, Ion Stoica, Matei Zaharia:
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark. SIGMOD Conference 2018: 601-613

Publication Year: 2018

NetChain: Scale-Free Sub-RTT Coordination (Extended Version).

Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica:
NetChain: Scale-Free Sub-RTT Coordination (Extended Version). CoRR abs/1802.08236 (2018)

Publication Year: 2018

Ray: A Distributed Framework for Emerging AI Applications.

Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. OSDI 2018: 561-577

Publication Year: 2018

Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems.

Anand Padmanabha Iyer, Li Erran Li, Mosharaf Chowdhury, Ion Stoica:
Mitigating the Latency-Accuracy Trade-off in Mobile Data Analytics Systems. MobiCom 2018: 513-528

Publication Year: 2018

RLlib: Abstractions for Distributed Reinforcement Learning.

Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
RLlib: Abstractions for Distributed Reinforcement Learning. ICML 2018: 3059-3068

Publication Year: 2018

NetChain: Scale-Free Sub-RTT Coordination.

Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soulé, Changhoon Kim, Ion Stoica:
NetChain: Scale-Free Sub-RTT Coordination. NSDI 2018: 35-49

Publication Year: 2018

Monarch: Gaining Command on Geo-Distributed Graph Analytics.

Anand Padmanabha Iyer, Aurojit Panda, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica:
Monarch: Gaining Command on Geo-Distributed Graph Analytics. HotCloud 2018

Publication Year: 2018

2017

Clipper: A Low-Latency Online Prediction Serving System.

Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica:
Clipper: A Low-Latency Online Prediction Serving System. NSDI 2017: 613-627

Publication Year: 2017

Blazes: Coordination Analysis and Placement for Distributed Programs.

Peter Alvaro, Neil Conway, Joseph M. Hellerstein, David Maier:
Blazes: Coordination Analysis and Placement for Distributed Programs. ACM Trans. Database Syst. 42(4): 23:1-23:31 (2017)

Publication Year: 2017

Indy: a software system for the dense cloud.

Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein:
Indy: a software system for the dense cloud. SoCC 2017: 650

Publication Year: 2017

Ground: A Data Context Service.

Joseph M. Hellerstein, Vikram Sreekanti, Joseph E. Gonzalez, James Dalton, Akon Dey, Sreyashi Nag, Krishna Ramachandran, Sudhanshu Arora, Arka Bhattacharyya, Shirshanka Das, Mark Donsky, Gabriel Fierro, Chang She, Carl Steinbach, Venkat Subramanian, Eric Sun:
Ground: A Data Context Service. CIDR 2017

Publication Year: 2017

DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations.

Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg:
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. CoRL 2017: 418-437

Publication Year: 2017

A scalable distributed spatial index for the internet-of-things.

Anand Padmanabha Iyer, Ion Stoica:
A scalable distributed spatial index for the internet-of-things. SoCC 2017: 548-560

Publication Year: 2017

Ray: A Distributed Framework for Emerging AI Applications.

Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica:
Ray: A Distributed Framework for Emerging AI Applications. CoRR abs/1712.05889 (2017)

Publication Year: 2017

Automating Diagnosis of Cellular Radio Access Network Problems.

Anand Padmanabha Iyer, Li Erran Li, Ion Stoica:
Automating Diagnosis of Cellular Radio Access Network Problems. MobiCom 2017: 79-87

Publication Year: 2017

Occupy the Cloud: Distributed Computing for the 99%.

Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht:
Occupy the Cloud: Distributed Computing for the 99%. CoRR abs/1702.04024 (2017)

Publication Year: 2017

Unleashing the Potential of Data-Driven Networking.

Junchen Jiang, Vyas Sekar, Ion Stoica, Hui Zhang:
Unleashing the Potential of Data-Driven Networking. COMSNETS (Revised Selected Papers and Invited Papers) 2017: 110-126

Publication Year: 2017

Opaque: An Oblivious and Encrypted Distributed Analytics Platform.

Wenting Zheng, Ankur Dave, Jethro G. Beekman, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica:
Opaque: An Oblivious and Encrypted Distributed Analytics Platform. NSDI 2017: 283-298

Publication Year: 2017

DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms.

Meraj Ahmed Khan, Larry Xu, Arnab Nandi, Joseph M. Hellerstein:
DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms. Proc. VLDB Endow. 10(12): 1953-1956 (2017)

Publication Year: 2017

A Berkeley View of Systems Challenges for AI.

Ion Stoica, Dawn Song, Raluca Ada Popa, David A. Patterson, Michael W. Mahoney, Randy H. Katz, Anthony D. Joseph, Michael I. Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David E. Culler, Pieter Abbeel:
A Berkeley View of Systems Challenges for AI. CoRR abs/1712.05855 (2017)

Publication Year: 2017

MiniCrypt: Reconciling Encryption and Compression for Big Data Stores.

Wenting Zheng, Frank H. Li, Raluca Ada Popa, Ion Stoica, Rachit Agarwal:
MiniCrypt: Reconciling Encryption and Compression for Big Data Stores. EuroSys 2017: 191-204

Publication Year: 2017

DDCO: Discovery of Deep Continuous Options forRobot Learning from Demonstrations.

Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg:
DDCO: Discovery of Deep Continuous Options forRobot Learning from Demonstrations. CoRR abs/1710.05421 (2017)

Publication Year: 2017

Real-Time Machine Learning: The Missing Pieces.

Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Michael I. Jordan, Ion Stoica:
Real-Time Machine Learning: The Missing Pieces. CoRR abs/1703.03924 (2017)

Publication Year: 2017

Drizzle: Fast and Adaptable Stream Processing at Scale.

Shivaram Venkataraman, Aurojit Panda, Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, Ion Stoica:
Drizzle: Fast and Adaptable Stream Processing at Scale. SOSP 2017: 374-389

Publication Year: 2017

Multi-Level Discovery of Deep Options.

Roy Fox, Sanjay Krishnan, Ion Stoica, Ken Goldberg:
Multi-Level Discovery of Deep Options. CoRR abs/1703.08294 (2017)

Publication Year: 2017

Occupy the cloud: distributed computing for the 99%.

Eric Jonas, Qifan Pu, Shivaram Venkataraman, Ion Stoica, Benjamin Recht:
Occupy the cloud: distributed computing for the 99%. SoCC 2017: 445-451

Publication Year: 2017

ZipG: A Memory-efficient Graph Store for Interactive Queries.

Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica:
ZipG: A Memory-efficient Graph Store for Interactive Queries. SIGMOD Conference 2017: 1149-1164

Publication Year: 2017

NetCache: Balancing Key-Value Stores with Fast In-Network Caching.

Xin Jin, Xiaozhou Li, Haoyu Zhang, Robert Soulé, Jeongkeun Lee, Nate Foster, Changhoon Kim, Ion Stoica:
NetCache: Balancing Key-Value Stores with Fast In-Network Caching. SOSP 2017: 121-136

Publication Year: 2017

Ray RLLib: A Composable and Scalable Reinforcement Learning Library.

Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica:
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR abs/1712.09381 (2017)

Publication Year: 2017

High Performance Transactions via Early Write Visibility.

Jose M. Faleiro, Daniel Abadi, Joseph M. Hellerstein:
High Performance Transactions via Early Write Visibility. Proc. VLDB Endow. 10(5): 613-624 (2017)

Publication Year: 2017

Data Tweening: Incremental Visualization of Data Transforms.

Meraj Ahmed Khan, Larry Xu, Arnab Nandi, Joseph M. Hellerstein:
Data Tweening: Incremental Visualization of Data Transforms. Proc. VLDB Endow. 10(6): 661-672 (2017)

Publication Year: 2017

Real-Time Machine Learning: The Missing Pieces.

Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica:
Real-Time Machine Learning: The Missing Pieces. HotOS 2017: 106-110

Publication Year: 2017

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017.

Carsten Binnig, Joseph M. Hellerstein, Aditya G. Parameswaran:
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017. ACM 2017, ISBN 978-1-4503-5029-7 [contents]

Publication Year: 2017