Publications
2022
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
Publication Year: 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
Publication Year: 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)
Publication Year: 2022
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)
Publication Year: 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)
Publication Year: 2022
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)
Publication Year: 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
Publication Year: 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)
Publication Year: 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)
Publication Year: 2022
The Sky Above The Clouds.
Sarah 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)
Publication Year: 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)
Publication Year: 2022
2021
ObliCheck: Efficient Verification of Oblivious Algorithms with Unobservable State
Jeongseok Son, Rishabh Poddar, Raluca Ada Popa, Koushik Sen
Jeongseok Son, Griffin Prechter, Rishabh Poddar, Raluca Ada Popa, and Koushik Sen
Published in the 30th USENIX Security Symposium (USENIX Security '21).
Publication Year: 2021
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation
Sam Kumar, David Culler, Raluca Ada Popa
Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. SC is being increasingly adopted by industry for a variety of applications. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. We develop MAGE, an execution engine for SC that efficiently runs SC computations that do not fit in memory. We observe that, due to their intended security guarantees, SC schemes are inherently oblivious—their memory access patterns are independent of the input data. Using this property, MAGE calculates the memory access pattern ahead of time and uses it to produce a memory management plan. This formulation of memory management, which we call memory programming, is a generalization of paging that allows MAGE to provide a highly efficient virtual memory abstraction for SC. MAGE outperforms the OS virtual memory system by up to an order of magnitude, and in many cases, runs SC computations that do not fit in memory at nearly the same speed as if the underlying machines had unbounded physical memory to fit the entire computation.
Publication Year: 2021
FireMarshal: Making HW/SW Co-Design Reproducible and Reliable
Publication Year: 2021
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines
*SIGMOD Int'l Conf. on Management of Data*, Portland, USA. June 2020 (Best Paper Award: 2 out of 450+ submissions.) Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya Parameswaran
Publication Year: 2021
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying
Aditya Parameswaran, Doris Jung-Lin Lee
*Patterns, Cell Press*, Volume 1, Issue 7, 100126. October, 2020 Doris Lee, Tarique Siddiqui, Karrie Karahalios, Aditya Parameswaran.
Publication Year: 2021
Uncovering Effective Explanations for Interactive Genomic Data Analysis
*Patterns, Cell Press*, Volume 1, Issue 6, 100093. September, 2020 Silu Huang, Charles Blatti, Saurabh Sinha, Aditya Parameswaran
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
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)
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
From cloud computing to sky computing.
Ion Stoica, Scott Shenker:
From cloud computing to sky computing. HotOS 2021: 26-32
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. IEEE Data Eng. Bull. 44(1): 66-78 (2021)
Publication Year: 2021
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
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
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
Interactive checks for coordination avoidance.
Michael J. Whittaker, Joseph M. Hellerstein:
Interactive checks for coordination avoidance. VLDB J. 30(1): 71-92 (2021)
Publication Year: 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)
Publication Year: 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)
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
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
Publication Year: 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
Publication Year: 2021
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
Publication Year: 2021
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
Publication Year: 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)
Publication Year: 2021
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)
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
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
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)
Publication Year: 2021
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)
Publication Year: 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)
Publication Year: 2021
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)
Publication Year: 2021
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)
Publication Year: 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
Publication Year: 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)
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
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
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
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
Publication Year: 2021
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)
Publication Year: 2021
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
Publication Year: 2021
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
Publication Year: 2021
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
Publication Year: 2021
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
Publication Year: 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]
Publication Year: 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)
Publication Year: 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
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
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
Publication Year: 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
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. ICRA 2021: 8806-8813
Publication Year: 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)
Publication Year: 2021
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
Publication Year: 2021
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)
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. ICML 2021: 6543-6552
Publication Year: 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
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 Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML 2021: 1803-1813
Publication Year: 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
Publication Year: 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
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
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
Publication Year: 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)
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
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
Publication Year: 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)
Publication Year: 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)
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
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
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)
Publication Year: 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. IACR Cryptol. ePrint Arch. 2021: 1280 (2021)
Publication Year: 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
Publication Year: 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. PaPoC@EuroSys 2021: 7:1-7:8
Publication Year: 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
Publication Year: 2021
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)
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
2020
Systems and ML at RISELab.
Ion Stoica:
Systems and ML at RISELab. HotCloud 2020
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
PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020.
Benyu Zhang, Raluca Ada Popa, Matei Zaharia, Guofei Gu, Shouling Ji:
PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020. ACM 2020, ISBN 978-1-4503-8088-1 [contents]
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
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
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
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
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
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
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
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
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
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. ICML 2020: 6040-6049
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
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
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
Metal: A Metadata-Hiding File-Sharing System.
Weikeng Chen, Raluca Ada Popa:
Metal: A Metadata-Hiding File-Sharing System. NDSS 2020
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
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
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
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
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
Bipartisan Paxos: A Modular State Machine Replication Protocol.
Michael J. 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
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
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
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
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
Delphi: A Cryptographic Inference System for Neural Networks.
Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, Raluca Ada Popa:
Delphi: A Cryptographic Inference System for Neural Networks. PPMLP@CCS 2020: 27-30
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
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. PPMLP@CCS 2020: 21-26
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
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
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
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
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
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
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
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. Proc. VLDB Endow. 14(1): 61-73 (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
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
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
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
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. CoRR abs/2007.07682 (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
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
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
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
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
Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost.
Yaoqing Yang, Jichan Chung, Guanhua Wang, Vipul Gupta, Adarsh Karnati, Kenan Jiang, Ion Stoica, Joseph Gonzalez, Kannan Ramchandran:
Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost. ACSSC 2020: 1064-1065
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
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
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.
Ameer Haj-Ali, Qijing (Jenny) Huang, William S. 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
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
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
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
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
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
ProTuner: Tuning Programs with Monte Carlo Tree Search.
Ameer Haj-Ali, Hasan Genc, Qijing Huang, William S. Moses, John Wawrzynek, Krste Asanovic, Ion Stoica:
ProTuner: Tuning Programs with Monte Carlo Tree Search. CoRR abs/2005.13685 (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
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
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
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
Scaling Replicated State Machines with Compartmentalization [Technical Report].
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 [Technical Report]. CoRR abs/2012.15762 (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
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
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning.
Qijing Huang, Ameer Haj-Ali, William S. 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
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
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
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
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
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
Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report].
Michael J. 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
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
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
MC2: A Secure Collaborative Computation Platform.
Raluca Ada Popa:
MC2: A Secure Collaborative Computation Platform. PPMLP@CCS 2020: 5
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
Checking Invariant Confluence, In Whole or In Parts.
Michael J. Whittaker, Joseph M. Hellerstein:
Checking Invariant Confluence, In Whole or In Parts. SIGMOD Rec. 49(1): 7-14 (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
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
Neural packet classification.
Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural packet classification. SIGCOMM 2019: 256-269
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
Looking Back at Postgres.
Joseph M. Hellerstein:
Looking Back at Postgres. CoRR abs/1901.01973 (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
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
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
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
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
Looking back at Postgres.
Joseph M. Hellerstein:
Looking back at Postgres. Making Databases Work 2019: 205-224
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
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
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
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
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
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
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. USENIX Annual Technical Conference 2019
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. Proc. VLDB Endow. 13(3): 376-389 (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
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
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
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
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
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
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
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, João 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
AutoPhase: Compiler Phase-Ordering for HLS with Deep Reinforcement Learning.
Qijing Huang, Ameer Haj-Ali, William S. 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
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
Data Wrangling.
Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel:
Data Wrangling. Encyclopedia of Big Data Technologies 2019
Publication Year: 2019
Deep Unsupervised Cardinality Estimation.
Zongheng Yang, Eric Liang, Amog Kamsetty, Chenggang Wu, Yan Duan, Xi 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
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
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
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
Neural Packet Classification.
Eric Liang, Hang Zhu, Xin Jin, Ion Stoica:
Neural Packet Classification. CoRR abs/1902.10319 (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 Charles 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
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
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
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
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
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
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
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
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. SIGMOD Rec. 48(4): 44-53 (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
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
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
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
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. CoRR abs/1901.08200 (2019)
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
Securing Data in Compromised Clouds.
Raluca Ada Popa:
Securing Data in Compromised Clouds. SoCC 2019: 286
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
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning.
Ameer Haj Ali, Qijing Huang, William S. 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
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
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
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
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
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
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
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
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
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
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
Debugging Distributed Systems with Why-Across-Time Provenance.
Michael J. Whittaker, Cristina Teodoropol, Peter Alvaro, Joseph M. Hellerstein:
Debugging Distributed Systems with Why-Across-Time Provenance. SoCC 2018: 333-346
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
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
Generalized Search Tree.
Joseph M. Hellerstein:
Generalized Search Tree. Encyclopedia of Database Systems (2nd ed.) 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
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
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
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
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
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
Interactive Checks for Coordination Avoidance.
Michael J. Whittaker, Joseph M. Hellerstein:
Interactive Checks for Coordination Avoidance. Proc. VLDB Endow. 12(1): 14-27 (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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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