Publications

2023

Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays.

Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica:
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. NSDI 2023: 1375-1389

Exoshuffle-CloudSort.

Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, Isaac Ong, Tony Hong, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle-CloudSort. CoRR abs/2301.03734 (2023)

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks.

Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto:
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR abs/2302.05733 (2023)

High-throughput Generative Inference of Large Language Models with a Single GPU.

Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR abs/2303.06865 (2023)

SkyPilot: An Intercloud Broker for Sky Computing.

Zongheng Yang, Zhanghao Wu, Michael Luo, Wei-Lin Chiang, Romil Bhardwaj, Woosuk Kwon, Siyuan Zhuang, Frank Sifei Luan, Gautam Mittal, Scott Shenker, Ion Stoica:
SkyPilot: An Intercloud Broker for Sky Computing. NSDI 2023: 437-455

SHEPHERD: Serving DNNs in the Wild.

Hong Zhang, Yupeng Tang, Anurag Khandelwal, Ion Stoica:
SHEPHERD: Serving DNNs in the Wild. NSDI 2023: 787-808

Invited Paper: Initial Steps Toward a Compiler for Distributed Programs.

Joseph M. Hellerstein, Shadaj Laddad, Mae Milano, Conor Power, Mingwei Samuel:
Invited Paper: Initial Steps Toward a Compiler for Distributed Programs. CoRR abs/2305.14614 (2023)

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving.

Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica:
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR abs/2302.11665 (2023)

2022

New Directions in Cloud Programming

11th Conference on Innovative – 11th Conference on Innovative Data Systems Research, CIDR 2021 Data Systems Research, CIDR 2021 – Cheung, A.; Crooks, N.; Hellerstein, J. M.; and Milano, M.

Serverless Boom or Bust? An Analysis of Economic Incentives

12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud) -Charles Lin, Joseph E. Gonzalez, and Joseph M. Hellerstein.

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.

Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica:
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. CoRR abs/2210.10243 (2022)

Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays.

Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica:
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. CoRR abs/2210.07259 (2022)

ESCHER: expressive scheduling with ephemeral resources.

Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica:
ESCHER: expressive scheduling with ephemeral resources. SoCC 2022: 47-62

CostCO: An automatic cost modeling framework for secure multi-party computation.

Vivian Fang, Lloyd Brown, William Lin, Wenting Zheng, Aurojit Panda, Raluca Ada Popa:
CostCO: An automatic cost modeling framework for secure multi-party computation. EuroS&P 2022: 140-153

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.

Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph E. Gonzalez:
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. CoRR abs/2207.07697 (2022)

ELSA: Secure Aggregation for Federated Learning with Malicious Actors.

Mayank Rathee, Conghao Shen, Sameer Wagh, Raluca Ada Popa:
ELSA: Secure Aggregation for Federated Learning with Malicious Actors. IACR Cryptol. ePrint Arch. 2022: 1695 (2022)

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback.

Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS 2022: 6200-6224

FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2.

Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Hugo Zhan, Derek Xu, Ramtin Ghassemi, John Kubiatowicz, Ion Stoica, Joseph Gonzales, Ken Goldberg:
FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2. CoRR abs/2205.09778 (2022)

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 M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022)

ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation.

Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun:
ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. CoRR abs/2211.04775 (2022)

Cloud Data Systems: What are the Opportunities for the Database Research Community?

Magdalena Balazinska, Surajit Chaudhuri, AnHai Doan, Joseph M. Hellerstein, Hanuma Kodavalla, Ippokratis Pandis, Matei Zaharia:
Cloud Data Systems: What are the Opportunities for the Database Research Community? Proc. VLDB Endow. 15(12): 3826-3827 (2022)

Exoshuffle: Large-Scale Shuffle at the Application Level.

Frank Sifei Luan, Stephanie Wang, Samyukta Yagati, Sean Kim, Kenneth Lien, SangBin Cho, Eric Liang, Ion Stoica:
Exoshuffle: Large-Scale Shuffle at the Application Level. CoRR abs/2203.05072 (2022)

DIEL: Interactive Visualization Beyond the Here and Now.

Yifan Wu, Remco Chang, Joseph M. Hellerstein, Arvind Satyanarayan, Eugene Wu:
DIEL: Interactive Visualization Beyond the Here and Now. IEEE Trans. Vis. Comput. Graph. 28(1): 737-746 (2022)

Context-Aware Streaming Perception in Dynamic Environments.

Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica:
Context-Aware Streaming Perception in Dynamic Environments. ECCV (38) 2022: 621-638

Reflections on trusting distributed trust.

Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Ada Popa:
Reflections on trusting distributed trust. HotNets 2022: 38-45

Operationalizing Machine Learning: An Interview Study.

Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran:
Operationalizing Machine Learning: An Interview Study. CoRR abs/2209.09125 (2022)

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR abs/2201.12023 (2022)

GACT: Activation Compressed Training for General Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022)

Balsa: Learning a Query Optimizer Without Expert Demonstrations.

Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. CoRR abs/2201.01441 (2022)

Global perspectives of diversity, equity, and inclusion.

Luiz André Barroso, Tanzeem Choudhury, Manish Gupta, Oyekunle A. Olukotun, Raluca Ada Popa, Dawn Xiaodong Song, David A. Patterson:
Global perspectives of diversity, equity, and inclusion. Commun. ACM 65(12): 30-31 (2022)

Balsa: Learning a Query Optimizer Without Expert Demonstrations.

Zongheng Yang, Wei-Lin Chiang, Sifei Luan, Gautam Mittal, Michael Luo, Ion Stoica:
Balsa: Learning a Query Optimizer Without Expert Demonstrations. SIGMOD Conference 2022: 931-944

Context-Aware Streaming Perception in Dynamic Environments.

Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica:
Context-Aware Streaming Perception in Dynamic Environments. CoRR abs/2208.07479 (2022)

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.

Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. AAAI 2022: 6028-6036

Representing Long-Range Context for Graph Neural Networks with Global Attention.

Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. CoRR abs/2201.08821 (2022)

TAOBench: An End-to-End Benchmark for Social Networking Workloads.

Audrey Cheng, Xiao Shi, Aaron N. Kabcenell, Shilpa Lawande, Hamza Qadeer, Jason Chan, Harrison Tin, Ryan Zhao, Peter Bailis, Mahesh Balakrishnan, Nathan Bronson, Natacha Crooks, Ion Stoica:
TAOBench: An End-to-End Benchmark for Social Networking Workloads. Proc. VLDB Endow. 15(9): 1965-1977 (2022)

Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.

Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini:
Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. DATE 2022: 184-189

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs.

Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun:
Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. CoRR abs/2210.08674 (2022)

Waldo: A Private Time-Series Database from Function Secret Sharing.

Emma Dauterman, Mayank Rathee, Raluca Ada Popa, Ion Stoica:
Waldo: A Private Time-Series Database from Function Secret Sharing. IEEE Symposium on Security and Privacy 2022: 2450-2468

D3: a dynamic deadline-driven approach for building autonomous vehicles.

Ionel Gog, Sukrit Kalra, Peter Schafhalter, Joseph E. Gonzalez, Ion Stoica:
D3: a dynamic deadline-driven approach for building autonomous vehicles. EuroSys 2022: 453-471

Synthesizing CRDTs from Sequential Data Types with Verified Lifting.

Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Joseph M. Hellerstein:
Synthesizing CRDTs from Sequential Data Types with Verified Lifting. CoRR abs/2205.12425 (2022)

Jiffy: elastic far-memory for stateful serverless analytics.

Anurag Khandelwal, Yupeng Tang, Rachit Agarwal, Aditya Akella, Ion Stoica:
Jiffy: elastic far-memory for stateful serverless analytics. EuroSys 2022: 697-713

Piloting Data Engineering at Berkeley.

Joseph M. Hellerstein, Aditya G. Parameswaran:
Piloting Data Engineering at Berkeley. DataEd@SIGMOD 2022: 38-43

The internet of things in a laptop: rapid prototyping for IoT applications with digibox.

Silvery Fu, Hong Zhang, Sylvia Ratnasamy, Ion Stoica:
The internet of things in a laptop: rapid prototyping for IoT applications with digibox. HotNets 2022: 24-30

Keep CALM and CRDT On.

Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. CoRR abs/2210.12605 (2022)

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.

Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez:
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML 2022: 17573-17583

Keep CALM and CRDT On.

Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein:
Keep CALM and CRDT On. Proc. VLDB Endow. 16(4): 856-863 (2022)

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

Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI 2022: 119-135

NetHint: White-Box Networking for Multi-Tenant Data Centers.

Jingrong Chen, Hong Zhang, Wei Zhang, Liang Luo, Jeffrey S. Chase, Ion Stoica, Danyang Zhuo:
NetHint: White-Box Networking for Multi-Tenant Data Centers. NSDI 2022: 1327-1343

Reflections on trusting distributed trust.

Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Ada Popa:
Reflections on trusting distributed trust. CoRR abs/2210.08127 (2022)

NumS: Scalable Array Programming for the Cloud.

Melih Elibol, Vinamra Benara, Samyu Yagati, Lianmin Zheng, Alvin Cheung, Michael I. Jordan, Ion Stoica:
NumS: Scalable Array Programming for the Cloud. CoRR abs/2206.14276 (2022)

On Optimizing the Communication of Model Parallelism.

Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang:
On Optimizing the Communication of Model Parallelism. CoRR abs/2211.05322 (2022)

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI 2022: 559-578

GACT: Activation Compressed Training for Generic Network Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152

Piranha: A GPU Platform for Secure Computation.

Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa:
Piranha: A GPU Platform for Secure Computation. IACR Cryptol. ePrint Arch. 2022: 892 (2022)

Katara: synthesizing CRDTs with verified lifting.

Shadaj Laddad, Conor Power, Mae Milano, Alvin Cheung, Joseph M. Hellerstein:
Katara: synthesizing CRDTs with verified lifting. Proc. ACM Program. Lang. 6(OOPSLA2): 1349-1377 (2022)

CostCO: An automatic cost modeling framework for secure multi-party computation.

Vivian Fang, Lloyd Brown, William Lin, Wenting Zheng, Aurojit Panda, Raluca Ada Popa:
CostCO: An automatic cost modeling framework for secure multi-party computation. IACR Cryptol. ePrint Arch. 2022: 332 (2022)

The Sky Above The Clouds.

Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica:
The Sky Above The Clouds. CoRR abs/2205.07147 (2022)

Piranha: A GPU Platform for Secure Computation.

Jean-Luc Watson, Sameer Wagh, Raluca Ada Popa:
Piranha: A GPU Platform for Secure Computation. USENIX Security Symposium 2022: 827-844

2021

Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage

E Dauterman, V Fang, I Demertzis, N Crooks, RA Popa Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles

Basil: Breaking up BFT with ACID (transactions)

Florian Suri-Payer, Matthew Burke, Zheng Wang, Yunhao Zhang, Lorenzo Alvisi, Natacha Crooks Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles

Elastic Hyperparameter Tuning on the Cloud.

Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez:
Elastic Hyperparameter Tuning on the Cloud. SoCC 2021: 33-46

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. IEEE Data Eng. Bull. 44(1): 66-78 (2021)

Contrastive Code Representation Learning.

Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica:
Contrastive Code Representation Learning. EMNLP (1) 2021: 5954-5971

Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage.

Emma Dauterman, Vivian Fang, Ioannis Demertzis, Natacha Crooks, Raluca Ada Popa:
Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage. IACR Cryptol. ePrint Arch. 2021: 1280 (2021)

In reference to RPC: it's time to add distributed memory.

Stephanie Wang, Benjamin Hindman, Ion Stoica:
In reference to RPC: it's time to add distributed memory. HotOS 2021: 191-198

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)

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration.

Hasan Genc, Seah Kim, Alon Amid, Ameer Haj-Ali, Vighnesh Iyer, Pranav Prakash, Jerry Zhao, Daniel Grubb, Harrison Liew, Howard Mao, Albert J. Ou, Colin Schmidt, Samuel Steffl, John Charles Wright, Ion Stoica, Jonathan Ragan-Kelley, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao:
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration. DAC 2021: 769-774

Grounded Graph Decoding improves Compositional Generalization in Question Answering.

Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) 2021: 1829-1838

Interactive checks for coordination avoidance.

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

Composing MPC with LQR and Neural Networks for Efficient and Stable Control.

Fangyu Wu, Guanhua Wang, Siyuan Zhuang, Kehan Wang, Alexander Keimer, Ion Stoica, Alexandre M. Bayen:
Composing MPC with LQR and Neural Networks for Efficient and Stable Control. CoRR abs/2112.07238 (2021)

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.

Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg:
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. CoRR abs/2112.03575 (2021)

New Directions in Cloud Programming.

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

Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning.

Wenting Zheng, Ryan Deng, Weikeng Chen, Raluca Ada Popa, Aurojit Panda, Ion Stoica:
Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning. USENIX Security Symposium 2021: 2723-2740

Wavelet: Efficient DNN Training with Tick-Tock Scheduling.

Guanhua Wang, Kehan Wang, Kenan Jiang, Xiangjun Li, Ion Stoica:
Wavelet: Efficient DNN Training with Tick-Tock Scheduling. MLSys 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)

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)

Accelerating Quadratic Optimization with Reinforcement Learning.

Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021)

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. USENIX Security Symposium 2021: 2129-2146

PAC Best Arm Identification Under a Deadline.

Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez:
PAC Best Arm Identification Under a Deadline. CoRR abs/2106.03221 (2021)

ObliCheck: Efficient Verification of Oblivious Algorithms with Unobservable State.

Jeongseok Son, Griffin Prechter, Rishabh Poddar, Raluca Ada Popa, Koushik Sen:
ObliCheck: Efficient Verification of Oblivious Algorithms with Unobservable State. USENIX Security Symposium 2021: 2219-2236

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data.

Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica:
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys 2021

Muse: Secure Inference Resilient to Malicious Clients.

Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa:
Muse: Secure Inference Resilient to Malicious Clients. USENIX Security Symposium 2021: 2201-2218

Online Learning of Competitive Equilibria in Exchange Economies.

Wenshuo Guo, Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Online Learning of Competitive Equilibria in Exchange Economies. CoRR abs/2106.06616 (2021)

Accelerating Quadratic Optimization with Reinforcement Learning.

Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055

Simple and Automatic Distributed Machine Learning on Ray.

Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica:
Simple and Automatic Distributed Machine Learning on Ray. KDD 2021: 4094-4095

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem.

Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Joseph E. Gonzalez, Ion Stoica:
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem. NeurIPS 2021: 5506-5517

Read-Write Quorum Systems Made Practical.

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

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

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

Representing Long-Range Context for Graph Neural Networks with Global Attention.

Zhanghao Wu, Paras Jain, Matthew A. Wright, Azalia Mirhoseini, Joseph E. Gonzalez, Ion Stoica:
Representing Long-Range Context for Graph Neural Networks with Global Attention. NeurIPS 2021: 13266-13279

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

Gauss: program synthesis by reasoning over graphs.

Rohan Bavishi, Caroline Lemieux, Koushik Sen, Ion Stoica:
Gauss: program synthesis by reasoning over graphs. Proc. ACM Program. Lang. 5(OOPSLA): 1-29 (2021)

Grounded Graph Decoding Improves Compositional Generalization in Question Answering.

Yu Gai, Paras Jain, Wendi Zhang, Joseph E. Gonzalez, Dawn Song, Ion Stoica:
Grounded Graph Decoding Improves Compositional Generalization in Question Answering. CoRR abs/2111.03642 (2021)

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.

Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Sanjit A. Seshia:
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments. CoRR abs/2106.10365 (2021)

Revitalizing the public internet by making it extensible.

Hari Balakrishnan, Sujata Banerjee, Israel Cidon, David E. Culler, Deborah Estrin, Ethan Katz-Bassett, Arvind Krishnamurthy, James Murphy McCauley, Nick McKeown, Aurojit Panda, Sylvia Ratnasamy, Jennifer Rexford, Michael Schapira, Scott Shenker, Ion Stoica, David L. Tennenhouse, Amin Vahdat, Ellen W. Zegura:
Revitalizing the public internet by making it extensible. Comput. Commun. Rev. 51(2): 18-24 (2021)

From cloud computing to sky computing.

Ion Stoica, Scott Shenker:
From cloud computing to sky computing. HotOS 2021: 26-32

New Directions in Cloud Programming.

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

RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store.

Audrey Cheng, Xiao Shi, Lu Pan, Anthony Simpson, Neil Wheaton, Shilpa Lawande, Nathan Bronson, Peter Bailis, Natacha Crooks, Ion Stoica:
RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store. Proc. VLDB Endow. 14(12): 3014-3027 (2021)

HOLMES: A Platform for Detecting Malicious Inputs in Secure Collaborative Computation.

Weikeng Chen, Katerina Sotiraki, Ian Chang, Murat Kantarcioglu, Raluca Ada Popa:
HOLMES: A Platform for Detecting Malicious Inputs in Secure Collaborative Computation. IACR Cryptol. ePrint Arch. 2021: 1517 (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. ICRA 2021: 8806-8813

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)

Waldo: A Private Time-Series Database from Function Secret Sharing.

Emma Dauterman, Mayank Rathee, Raluca Ada Popa, Ion Stoica:
Waldo: A Private Time-Series Database from Function Secret Sharing. IACR Cryptol. ePrint Arch. 2021: 1661 (2021)

Merkle2: A Low-Latency Transparency Log System.

Yuncong Hu, Kian Hooshmand, Harika Kalidhindi, Seung Jin Yang, Raluca Ada Popa:
Merkle²: A Low-Latency Transparency Log System. IEEE Symposium on Security and Privacy 2021: 285-303

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

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

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 Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML 2021: 1803-1813

TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers.

Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali:
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks 2021

Hoplite: efficient and fault-tolerant 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 and fault-tolerant collective communication for task-based distributed systems. SIGCOMM 2021: 641-656

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)

Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021.

Alex Smola, Alex Dimakis, Ion Stoica:
Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021. mlsys.org 2021 [contents]

Scaling Replicated State Machines with Compartmentalization.

Michael J. Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres:
Scaling Replicated State Machines with Compartmentalization. Proc. VLDB Endow. 14(11): 2203-2215 (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. ICML 2021: 6543-6552

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation.

Sam Kumar, David E. Culler, Raluca Ada Popa:
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. OSDI 2021: 367-385

MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation.

Sam Kumar, David E. Culler, Raluca Ada Popa:
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation. CoRR abs/2106.14651 (2021)

Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage.

Emma Dauterman, Vivian Fang, Ioannis Demertzis, Natacha Crooks, Raluca Ada Popa:
Snoopy: Surpassing the Scalability Bottleneck of Oblivious Storage. SOSP 2021: 655-671

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

Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph Gonzalez:
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism. ICML 2021: 10236-10246

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

Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João 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)

Rearchitecting In-Memory Object Stores for Low Latency.

Danyang Zhuo, Kaiyuan Zhang, Zhuohan Li, Siyuan Zhuang, Stephanie Wang, Ang Chen, Ion Stoica:
Rearchitecting In-Memory Object Stores for Low Latency. Proc. VLDB Endow. 15(3): 555-568 (2021)

Read-Write Quorum Systems Made Practical.

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

Benchmark of Bitrate Adaptation in Video Streaming.

Jessica Chen, Henry Milner, Ion Stoica, Jibin Zhan:
Benchmark of Bitrate Adaptation in Video Streaming. ACM J. Data Inf. Qual. 13(4): 22:1-22:24 (2021)

Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning.

Wenting Zheng, Ryan Deng, Weikeng Chen, Raluca Ada Popa, Aurojit Panda, Ion Stoica:
Cerebro: A Platform for Multi-Party Cryptographic Collaborative Learning. IACR Cryptol. ePrint Arch. 2021: 759 (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)

Serverless Multi-Query Motion Planning for Fog Robotics.

Raghav Anand, Jeffrey Ichnowski, Chenggang Wu, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg:
Serverless Multi-Query Motion Planning for Fog Robotics. ICRA 2021: 7457-7463

MUSE: Secure Inference Resilient to Malicious Clients.

Ryan Lehmkuhl, Pratyush Mishra, Akshayaram Srinivasan, Raluca Ada Popa:
MUSE: Secure Inference Resilient to Malicious Clients. IACR Cryptol. ePrint Arch. 2021: 1040 (2021)

SoK: A Generalized Multi-Leader State Machine Replication Tutorial.

Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Ion Stoica:
SoK: A Generalized Multi-Leader State Machine Replication Tutorial. J. Syst. Res. 1(1) (2021)

[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol.

Michael J. Whittaker, Neil Giridharan, Adriana Szekeres, Joseph M. Hellerstein, Heidi Howard, Faisal Nawab, Ion Stoica:
[Solution] Matchmaker Paxos: A Reconfigurable Consensus Protocol. J. Syst. Res. 1(1) (2021)