Matei Zaharia

According to our database, Matei Zaharia authored at least 197 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Adaptive and Robust Query Execution for Lakehouses At Scale.

Maryann Xue, Yingyi Bu, Abhishek Somani, Wenchen Fan, Ziqi Liu, Steven Chen, Herman Van Hovell, Bart Samwel, Mostafa Mokhtar, Rk Korlapati, Andy Lam, Yunxiao Ma, Vuk Ercegovac, Jiexing Li, Alexander Behm, Yuanjian Li, Xiao Li, Sriram Krishnamurthy, Amit Shukla, Michalis Petropoulos, Sameer Paranjpye, Reynold Xin, Matei Zaharia

Proc. VLDB Endow., August, 2024

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data.

Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia

Proc. ACM Manag. Data, 2024

Compass: Encrypted Semantic Search with High Accuracy.

Jinhao Zhu, Liana Patel, Matei Zaharia, Raluca Ada Popa

IACR Cryptol. ePrint Arch., 2024

ElasticTok: Adaptive Tokenization for Image and Video.

Wilson Yan, Matei Zaharia, Volodymyr Mnih, Pieter Abbeel, Aleksandra Faust, Hao Liu

CoRR, 2024

Text2SQL is Not Enough: Unifying AI and Databases with TAG.

Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia

CoRR, 2024

Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design.

Jared Quincy Davis, Boris Hanin, Lingjiao Chen, Peter Bailis, Ion Stoica, Matei Zaharia

CoRR, 2024

LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data.

Liana Patel, Siddharth Jha, Carlos Guestrin, Matei Zaharia

CoRR, 2024

Generating Probabilistic Scenario Programs from Natural Language.

Karim Elmaaroufi, Devan Shanker, Ana Cismaru, Marcell Vazquez-Chanlatte, Alberto L. Sangiovanni-Vincentelli, Matei Zaharia, Sanjit A. Seshia

CoRR, 2024

RAFT: Adapting Language Model to Domain Specific RAG.

Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez

CoRR, 2024

Optimizing LLM Queries in Relational Workloads.

Shu Liu, Asim Biswal, Audrey Cheng, Xiangxi Mo, Shiyi Cao, Joseph E. Gonzalez, Ion Stoica, Matei Zaharia

CoRR, 2024

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou

CoRR, 2024

World Model on Million-Length Video And Language With Blockwise RingAttention.

Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel

CoRR, 2024

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

Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the IEEE Security and Privacy, 2024

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems.

Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Everything Everywhere All At Once: Efficient Cross-Service Program Analysis with OverSeer.

Jiwon Park, Shadaj Laddad, Dev Bali, Wen Zhang, Scott Shenker, Matei Zaharia

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines.

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RingAttention with Blockwise Transformers for Near-Infinite Context.

Hao Liu, Matei Zaharia, Pieter Abbeel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ALTO: An Efficient Network Orchestrator for Compound AI Systems.

Keshav Santhanam, Deepti Raghavan, Muhammad Shahir Rahman, Thejas Venkatesh, Neha Kunjal, Pratiksha Thaker, Philip Alexander Levis, Matei Zaharia

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Krista Opsahl-Ong, Michael J. Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Accelerating Aggregation Queries on Unstructured Streams of Data.

Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia

Proc. VLDB Endow., 2023

Epoxy: ACID Transactions Across Diverse Data Stores.

Peter Kraft, Qian Li, Xinjing Zhou, Peter Bailis, Michael Stonebraker, Xiangyao Yu, Matei Zaharia

Proc. VLDB Endow., 2023

R³: Record-Replay-Retroaction for Database-Backed Applications.

Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia

Proc. VLDB Endow., 2023

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

Arnav Singhvi, Manish Shetty, Shangyin Tan, Christopher Potts, Koushik Sen, Matei Zaharia, Omar Khattab

CoRR, 2023

Image and Data Mining in Reticular Chemistry Using GPT-4V.

Zhiling Zheng, Zhiguo He, Omar Khattab, Nakul Rampal, Matei A. Zaharia, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi

CoRR, 2023

Data Acquisition: A New Frontier in Data-centric AI.

Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou

CoRR, 2023

Exploration with Principles for Diverse AI Supervision.

Hao Liu, Matei Zaharia, Pieter Abbeel

CoRR, 2023

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan, Saiful Haq, Ashutosh Sharma, Thomas T. Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts

CoRR, 2023

Ring Attention with Blockwise Transformers for Near-Infinite Context.

Hao Liu, Matei Zaharia, Pieter Abbeel

CoRR, 2023

How is ChatGPT's behavior changing over time?

Lingjiao Chen, Matei Zaharia, James Zou

CoRR, 2023

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Lingjiao Chen, Matei Zaharia, James Zou

CoRR, 2023

Zelda: Video Analytics using Vision-Language Models.

Francisco Romero, Caleb Winston, Johann Hauswald, Matei Zaharia, Christos Kozyrakis

CoRR, 2023

Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking.

Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Alexander Levis, Matei Zaharia, Irene Zhang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.

Trevor Gale, Deepak Narayanan, Cliff Young, Matei Zaharia

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Congestion Control Safety via Comparative Statics.

Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the IEEE INFOCOM 2023, 2023

Transactions Make Debugging Easy.

Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Analyzing and Comparing Lakehouse Storage Systems.

Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.

Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avi Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.

Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou

Nat. Mac. Intell., October, 2022

Optimizing Video Analytics with Declarative Model Relationships.

Francisco Romero, Johann Hauswald, Aditi Partap, Daniel Kang, Matei Zaharia, Christos Kozyrakis

Proc. VLDB Endow., 2022

Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations.

Nirvik Baruah, Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 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

Proc. VLDB Endow., 2022

Advances, challenges and opportunities in creating data for trustworthy AI.

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou

Nat. Mach. Intell., 2022

Allocation of fungible resources via a fast, scalable price discovery method.

Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia

Math. Program. Comput., 2022

Overlook: Differentially Private Exploratory Visualization for Big Data.

Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia

J. Priv. Confidentiality, 2022

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia

CoRR, 2022

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework.

Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Peter Bailis, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia

CoRR, 2022

Extricating IoT Devices from Vendor Infrastructure with Karl.

Gina Yuan, David Mazières, Matei Zaharia

CoRR, 2022

TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data.

Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Finding Label and Model Errors in Perception Data With Learned Observation Assertions.

Daniel Kang, Nikos Aréchiga, Sudeep Pillai, Peter D. Bailis, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Photon: A Fast Query Engine for Lakehouse Systems.

Alexander Behm, Shoumik Palkar, Utkarsh Agarwal, Timothy Armstrong, David Cashman, Ankur Dave, Todd Greenstein, Shant Hovsepian, Ryan Johnson, Arvind Sai Krishnan, Paul Leventis, Ala Luszczak, Prashanth Menon, Mostafa Mokhtar, Gene Pang, Sameer Paranjpye, Greg Rahn, Bart Samwel, Tom van Bussel, Herman Van Hovell, Maryann Xue, Reynold Xin, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems.

Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Estimating and Explaining Model Performance When Both Covariates and Labels Shift.

Lingjiao Chen, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.

Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Efficient Online ML API Selection for Multi-Label Classification Tasks.

Lingjiao Chen, Matei Zaharia, James Zou

Proceedings of the International Conference on Machine Learning, 2022

Hindsight: Posterior-guided training of retrievers for improved open-ended generation.

Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning

Proceedings of the Tenth International Conference on Learning Representations, 2022

How Did the Model Change? Efficiently Assessing Machine Learning API Shifts.

Lingjiao Chen, Matei Zaharia, James Zou

Proceedings of the Tenth International Conference on Learning Representations, 2022

PLAID: An Efficient Engine for Late Interaction Retrieval.

Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

VIVA: An End-to-End System for Interactive Video Analytics.

Daniel Kang, Francisco Romero, Peter D. Bailis, Christos Kozyrakis, Matei Zaharia

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

A Progress Report on DBOS: A Database-oriented Operating System.

Qian Li, Peter Kraft, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Jason Li, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts.

Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DIFF: a relational interface for large-scale data explanation.

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Ananthanarayan, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia

VLDB J., 2021

Relevance-guided Supervision for OpenQA with ColBERT.

Omar Khattab, Christopher Potts, Matei Zaharia

Trans. Assoc. Comput. Linguistics, 2021

Designing Production-Friendly Machine Learning.

Matei Zaharia

Proc. VLDB Endow., 2021

DBOS: A DBMS-oriented Operating System.

Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia

Proc. VLDB Endow., 2021

Accelerating Approximate Aggregation Queries with Expensive Predicates.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

Proc. VLDB Endow., 2021

What can Data-Centric AI Learn from Data and ML Engineering?

Neoklis Polyzotis, Matei Zaharia

CoRR, 2021

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression.

Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia

CoRR, 2021

DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution.

Keshav Santhanam, Siddharth Krishna, Ryota Tomioka, Tim Harris, Matei Zaharia

CoRR, 2021

Did the Model Change? Efficiently Assessing Machine Learning API Shifts.

Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou

CoRR, 2021

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

CoRR, 2021

Don't Give Up on Large Optimization Problems; POP Them!

Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Matei Zaharia

CoRR, 2021

Efficient Large-Scale Language Model Training on GPU Clusters.

Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia

CoRR, 2021

FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks.

Lingjiao Chen, Matei Zaharia, James Zou

CoRR, 2021

Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy.

Saba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia, Dan Boneh

Proceedings of the 30th USENIX Security Symposium, 2021

Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP.

Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Efficient large-scale language model training on GPU clusters using megatron-LM.

Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia

Proceedings of the International Conference for High Performance Computing, 2021

Contracting Wide-area Network Topologies to Solve Flow Problems Quickly.

Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval.

Omar Khattab, Christopher Potts, Matei A. Zaharia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory-Efficient Pipeline-Parallel DNN Training.

Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia

Proceedings of the 38th International Conference on Machine Learning, 2021

Breakfast of champions: towards zero-copy serialization with NIC scatter-gather.

Deepti Raghavan, Philip Alexander Levis, Matei Zaharia, Irene Zhang

Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021

Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control.

Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access.

Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Alexander Levis, Matei Zaharia

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics.

Matei Zaharia, Ali Ghodsi, Reynold Xin, Michael Armbrust

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

Challenges and Opportunities for Autonomous Vehicle Query Systems.

Fiodar Kazhamiaka, Matei Zaharia, Peter Bailis

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Posh: A Data-Aware Shell.

Deepti Raghavan, Sadjad Fouladi, Philip Alexander Levis, Matei Zaharia

login Usenix Mag., 2020

A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.

Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2020

Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics.

Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2020

Approximate Selection with Guarantees using Proxies.

Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia

Proc. VLDB Endow., 2020

Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores.

Michael Armbrust, Tathagata Das, Sameer Paranjpye, Reynold Xin, Shixiong Zhu, Ali Ghodsi, Burak Yavuz, Mukul Murthy, Joseph Torres, Liwen Sun, Peter A. Boncz, Mostafa Mokhtar, Herman Van Hovell, Adrian Ionescu, Alicja Luszczak, Michal Switakowski, Takuya Ueshin, Xiao Li, Michal Szafranski, Pieter Senster, Matei Zaharia

Proc. VLDB Endow., 2020

Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia

CoRR, 2020

DBOS: A Proposal for a Data-Centric Operating System.

Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia

CoRR, 2020

Similarity Search for Efficient Active Learning and Search of Rare Concepts.

Cody Coleman, Edward Chou, Sean Culatana, Peter Bailis, Alexander C. Berg, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz

CoRR, 2020

Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads.

Gina Yuan, Shoumik Palkar, Deepak Narayanan, Matei Zaharia

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Spectral Lower Bounds on the I/O Complexity of Computation Graphs.

Saachi Jain, Matei Zaharia

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle.

Andrew Chen, Andy Chow, Aaron Davidson, Arjun DCunha, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Clemens Mewald, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Avesh Singh, Fen Xie, Matei Zaharia, Richard Zang, Juntai Zheng, Corey Zumar

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.

Omar Khattab, Matei Zaharia

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Sparse GPU kernels for deep learning.

Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen

Proceedings of the International Conference for High Performance Computing, 2020

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads.

Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

FrugalML: How to use ML Prediction APIs more accurately and cheaply.

Lingjiao Chen, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MLPerf Training Benchmark.

Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.

Peter Kraft, Daniel Kang, Deepak Narayanan, Shoumik Palkar, Peter Bailis, Matei Zaharia

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Model Assertions for Monitoring and Improving ML Models.

Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc.

Zhihao Jia, Sina Lin, Mingyu Gao, Matei Zaharia, Alex Aiken

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Selection via Proxy: Efficient Data Selection for Deep Learning.

Cody Coleman, Christopher Yeh, Stephen Mussmann, Baharan Mirzasoleiman, Peter Bailis, Percy Liang, Jure Leskovec, Matei Zaharia

Proceedings of the 8th International Conference on Learning Representations, 2020

A Polystore Based Database Operating System (DBOS).

Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

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

Benyu Zhang, Matei Zaharia, Shouling Ji, Raluca Ada Popa, Guofei Gu

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Fleet: A Framework for Massively Parallel Streaming on FPGAs.

James Thomas, Pat Hanrahan, Matei Zaharia

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg.

Sadjad Fouladi, Francisco Romero, Dan Iter, Qian Li, Alex Ozdemir, Shuvo Chatterjee, Matei Zaharia, Christos Kozyrakis, Keith Winstein

login Usenix Mag., 2019

Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.

Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia

ACM SIGOPS Oper. Syst. Rev., 2019

BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics.

Daniel Kang, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2019

ObliDB: Oblivious Query Processing for Secure Databases.

Saba Eskandarian, Matei Zaharia

Proc. VLDB Endow., 2019

MLPerf Training Benchmark.

Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

CoRR, 2019

Automated Lower Bounds on the I/O Complexity of Computation Graphs.

Saachi Jain, Matei Zaharia

CoRR, 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 S. 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 Randall 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

CoRR, 2019

From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers.

Sadjad Fouladi, Francisco Romero, Dan Iter, Qian Li, Shuvo Chatterjee, Christos Kozyrakis, Matei Zaharia, Keith Winstein

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Optimizing data-intensive computations in existing libraries with split annotations.

Shoumik Palkar, Matei Zaharia

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

PipeDream: generalized pipeline parallelism for DNN training.

Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

TASO: optimizing deep learning computation with automatic generation of graph substitutions.

Zhihao Jia, Oded Padon, James Thomas, Todd Warszawski, Matei Zaharia, Alex Aiken

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Beyond Data and Model Parallelism for Deep Neural Networks.

Zhihao Jia, Matei Zaharia, Alex Aiken

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Optimizing DNN Computation with Relaxed Graph Substitutions.

Zhihao Jia, James Thomas, Todd Warszawski, Mingyu Gao, Matei Zaharia, Alex Aiken

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

LIT: Learned Intermediate Representation Training for Model Compression.

Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia

Proceedings of the 36th International Conference on Machine Learning, 2019

To Index or Not to Index: Optimizing Exact Maximum Inner Product Search.

Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Lessons from Large-Scale Software as a Service at Databricks.

Matei Zaharia

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine.

Daniel Kang, Peter Bailis, Matei Zaharia

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Big Data Platforms for Data Analytics.

Volker Markl, Vinayak R. Borkar, Matei Zaharia, Till Westmann, Alexander Alexandrov

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Evaluating End-to-End Optimization for Data Analytics Applications in Weld.

Shoumik Palkar, James Thomas, Deepak Narayanan, Pratiksha Thaker, Rahul Palamuttam, Parimarjan Negi, Anil Shanbhag, Malte Schwarzkopf, Holger Pirk, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia

Proc. VLDB Endow., 2018

Filter Before You Parse: Faster Analytics on Raw Data with Sparser.

Shoumik Palkar, Firas Abuzaid, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2018

DIFF: A Relational Interface for Large-Scale Data Explanation.

Firas Abuzaid, Peter Kraft, Sahaana Suri, Edward Gan, Eric Xu, Atul Shenoy, Asvin Anathanaraya, John Sheu, Erik Meijer, Xi Wu, Jeffrey F. Naughton, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2018

Accelerating the Machine Learning Lifecycle with MLflow.

Matei Zaharia, Andrew Chen, Aaron Davidson, Ali Ghodsi, Sue Ann Hong, Andy Konwinski, Siddharth Murching, Tomas Nykodym, Paul Ogilvie, Mani Parkhe, Fen Xie, Corey Zumar

IEEE Data Eng. Bull., 2018

Splitability Annotations: Optimizing Black-Box Function Composition in Existing Libraries.

Shoumik Palkar, Matei Zaharia

CoRR, 2018

LIT: Block-wise Intermediate Representation Training for Model Compression.

Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia

CoRR, 2018

BlazeIt: Fast Exploratory Video Queries using Neural Networks.

Daniel Kang, Peter Bailis, Matei Zaharia

CoRR, 2018

MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis.

Manasi Vartak, Joana M. F. da Trindade, Samuel Madden, Matei Zaharia

Proceedings of the 2018 International Conference on Management of Data, 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

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale.

Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia

Proc. VLDB Endow., 2017

An Oblivious General-Purpose SQL Database for the Cloud.

Saba Eskandarian, Matei Zaharia

CoRR, 2017

Weld: Rethinking the Interface Between Data-Intensive Applications.

Shoumik Palkar, James Thomas, Deepak Narayanan, Anil Shanbhag, Rahul Palamuttam, Holger Pirk, Malte Schwarzkopf, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia

CoRR, 2017

Optimizing Deep CNN-Based Queries over Video Streams at Scale.

Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia

CoRR, 2017

Infrastructure for Usable Machine Learning: The Stanford DAWN Project.

Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia

CoRR, 2017

SimDex: Exploiting Model Similarity in Exact Matrix Factorization Recommendations.

Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia

CoRR, 2017

Stadium: A Distributed Metadata-Private Messaging System.

Nirvan Tyagi, Yossi Gilad, Derek Leung, Matei Zaharia, Nickolai Zeldovich

Proceedings of the 26th Symposium on Operating Systems Principles, 2017

DIY Hosting for Online Privacy.

Shoumik Palkar, Matei Zaharia

Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

A Common Runtime for High Performance Data Analysis.

Shoumik Palkar, James Thomas, Anil Shanbhag, Deepak Narayanan, Holger Pirk, Malte Schwarzkopf, Saman P. Amarasinghe, Matei Zaharia

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

Making caches work for graph analytics.

Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware.

Holger Pirk, Oscar R. Moll, Matei Zaharia, Sam Madden

Proc. VLDB Endow., 2016

MLlib: Machine Learning in Apache Spark.

Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar

J. Mach. Learn. Res., 2016

Splinter: Practical Private Queries on Public Data.

Frank Wang, Catherine Yun, Shafi Goldwasser, Vinod Vaikuntanathan, Matei Zaharia

IACR Cryptol. ePrint Arch., 2016

Stadium: A Distributed Metadata-Private Messaging System.

Nirvan Tyagi, Yossi Gilad, Matei Zaharia, Nickolai Zeldovich

IACR Cryptol. ePrint Arch., 2016

Optimizing Cache Performance for Graph Analytics.

Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, Saman P. Amarasinghe

CoRR, 2016

Apache Spark: a unified engine for big data processing.

Matei Zaharia, Reynold S. Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J. Franklin, Ali Ghodsi, Joseph Gonzalez, Scott Shenker, Ion Stoica

Commun. ACM, 2016

SparkR: Scaling R Programs with Spark.

Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael J. Franklin, Ion Stoica, Matei Zaharia

Proceedings of the 2016 International Conference on Management of Data, 2016

ModelDB: a system for machine learning model management.

Manasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo, Samuel Madden, Matei Zaharia

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

Introduction to Spark 2.0 for Database Researchers.

Michael Armbrust, Doug Bateman, Reynold Xin, Matei Zaharia

Proceedings of the 2016 International Conference on Management of Data, 2016

FairRide: Near-Optimal, Fair Cache Sharing.

Qifan Pu, Haoyuan Li, Matei Zaharia, Ali Ghodsi, Ion Stoica

Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale.

Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Matrix Computations and Optimization in Apache Spark.

Reza Bosagh Zadeh, Xiangrui Meng, Alexander Ulanov, Burak Yavuz, Li Pu, Shivaram Venkataraman, Evan Randall Sparks, Aaron Staple, Matei Zaharia

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

GraphFrames: an integrated API for mixing graph and relational queries.

Ankur Dave, Alekh Jindal, Li Erran Li, Reynold Xin, Joseph Gonzalez, Matei Zaharia

Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016

2015

Scaling Spark in the Real World: Performance and Usability.

Michael Armbrust, Tathagata Das, Aaron Davidson, Ali Ghodsi, Andrew Or, Josh Rosen, Ion Stoica, Patrick Wendell, Reynold Xin, Matei Zaharia

Proc. VLDB Endow., 2015

linalg: Matrix Computations in Apache Spark.

Reza Bosagh Zadeh, Xiangrui Meng, Burak Yavuz, Aaron Staple, Li Pu, Shivaram Venkataraman, Evan Randall Sparks, Alexander Ulanov, Matei Zaharia

CoRR, 2015

Vuvuzela: scalable private messaging resistant to traffic analysis.

Jelle van den Hooff, David Lazar, Matei Zaharia, Nickolai Zeldovich

Proceedings of the 25th Symposium on Operating Systems Principles, 2015

Spark SQL: Relational Data Processing in Spark.

Michael Armbrust, Reynold S. Xin, Cheng Lian, Yin Huai, Davies Liu, Joseph K. Bradley, Xiangrui Meng, Tomer Kaftan, Michael J. Franklin, Ali Ghodsi, Matei Zaharia

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks.

Haoyuan Li, Ali Ghodsi, Matei Zaharia, Scott Shenker, Ion Stoica

Proceedings of the ACM Symposium on Cloud Computing, 2014

2013

An Architecture for and Fast and General Data Processing on Large Clusters.

Matei A. Zaharia

PhD thesis, 2013

Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study With Arterial Traffic Estimation.

Timothy Hunter, Tathagata Das, Matei Zaharia, Pieter Abbeel, Alexandre M. Bayen

IEEE Trans Autom. Sci. Eng., 2013

Discretized streams: fault-tolerant streaming computation at scale.

Matei Zaharia, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, Ion Stoica

Proceedings of the ACM SIGOPS 24th Symposium on Operating Systems Principles, 2013

Sparrow: distributed, low latency scheduling.

Kay Ousterhout, Patrick Wendell, Matei Zaharia, Ion Stoica

Proceedings of the ACM SIGOPS 24th Symposium on Operating Systems Principles, 2013

Shark: SQL and rich analytics at scale.

Reynold S. Xin, Josh Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Choosy: max-min fair sharing for datacenter jobs with constraints.

Ali Ghodsi, Matei Zaharia, Scott Shenker, Ion Stoica

Proceedings of the Eighth Eurosys Conference 2013, 2013

2012

Fast and Interactive Analytics over Hadoop Data with Spark.

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, James Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica

login Usenix Mag., 2012

Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces

Timothy Hunter, Tathagata Das, Matei Zaharia, Pieter Abbeel, Alexandre M. Bayen

CoRR, 2012

Cloud Terminal: Secure Access to Sensitive Applications from Untrusted Systems.

Lorenzo Martignoni, Pongsin Poosankam, Matei Zaharia, Jun Han, Stephen McCamant, Dawn Song, Vern Paxson, Adrian Perrig, Scott Shenker, Ion Stoica

Proceedings of the 2012 USENIX Annual Technical Conference, 2012

Shark: fast data analysis using coarse-grained distributed memory.

Cliff Engle, Antonio Lupher, Reynold Xin, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Multi-resource fair queueing for packet processing.

Ali Ghodsi, Vyas Sekar, Matei Zaharia, Ion Stoica

Proceedings of the ACM SIGCOMM 2012 Conference, 2012

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing.

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael J. Franklin, Scott Shenker, Ion Stoica

Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012

Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters.

Matei Zaharia, Tathagata Das, Haoyuan Li, Scott Shenker, Ion Stoica

Proceedings of the 4th USENIX Workshop on Hot Topics in Cloud Computing, 2012

Optimally Designing Games for Cognitive Science Research.

Anna N. Rafferty, Matei Zaharia, Thomas L. Griffiths

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Mesos: Flexible Resource Sharing for the Cloud.

Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ali Ghodsi, Anthony D. Joseph, Randy H. Katz, Scott Shenker, Ion Stoica

login Usenix Mag., 2011

Faster and More Accurate Sequence Alignment with SNAP

Matei Zaharia, William J. Bolosky, Kristal Curtis, Armando Fox, David A. Patterson, Scott Shenker, Ion Stoica, Richard M. Karp, Taylor Sittler

CoRR, 2011

Design and implementation of the KioskNet system.

Shimin Guo, Mohammad Derakhshani, Mohammad Hossein Falaki, Usman Ismail, Rowena Luk, Earl A. Oliver, Sumair Ur Rahman, Aaditeshwar Seth, Matei A. Zaharia, Srinivasan Keshav

Comput. Networks, 2011

Managing data transfers in computer clusters with orchestra.

Mosharaf Chowdhury, Matei Zaharia, Justin Ma, Michael I. Jordan, Ion Stoica

Proceedings of the ACM SIGCOMM 2011 Conference on Applications, 2011

Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center.

Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ali Ghodsi, Anthony D. Joseph, Randy H. Katz, Scott Shenker, Ion Stoica

Proceedings of the 8th USENIX Symposium on Networked Systems Design and Implementation, 2011

Dominant Resource Fairness: Fair Allocation of Multiple Resource Types.

Ali Ghodsi, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica

Proceedings of the 8th USENIX Symposium on Networked Systems Design and Implementation, 2011

The Datacenter Needs an Operating System.

Matei Zaharia, Benjamin Hindman, Andy Konwinski, Ali Ghodsi, Anthony D. Joseph, Randy H. Katz, Scott Shenker, Ion Stoica

Proceedings of the 3rd USENIX Workshop on Hot Topics in Cloud Computing, 2011

Scaling the mobile millennium system in the cloud.

Timothy Hunter, Teodor Mihai Moldovan, Matei Zaharia, Samy Merzgui, Justin Ma, Michael J. Franklin, Pieter Abbeel, Alexandre M. Bayen

Proceedings of the ACM Symposium on Cloud Computing in conjunction with SOSP 2011, 2011

2010

A view of cloud computing.

Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy H. Katz, Andy Konwinski, Gunho Lee, David A. Patterson, Ariel Rabkin, Ion Stoica, Matei Zaharia

Commun. ACM, 2010

Spark: Cluster Computing with Working Sets.

Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica

Proceedings of the 2nd USENIX Workshop on Hot Topics in Cloud Computing, 2010

Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling.

Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma, Khaled Elmeleegy, Scott Shenker, Ion Stoica

Proceedings of the European Conference on Computer Systems, 2010

2009

ICTD for healthcare in Ghana: Two parallel case studies.

Rowena Luk, Matei Zaharia, Melissa R. Ho, Brian Levine, Paul M. Aoki

Proceedings of the 2009 International Conference on Information and Communication Technologies and Development, 2009

A Common Substrate for Cluster Computing.

Benjamin Hindman, Andy Konwinski, Matei Zaharia, Ion Stoica

Proceedings of the Workshop on Hot Topics in Cloud Computing, 2009

2008

Gossip-based search selection in hybrid peer-to-peer networks.

Matei A. Zaharia, Srinivasan Keshav

Concurr. Comput. Pract. Exp., 2008

Improving MapReduce Performance in Heterogeneous Environments.

Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy H. Katz, Ion Stoica

Proceedings of the 8th USENIX Symposium on Operating Systems Design and Implementation, 2008

2007

Very low-cost internet access using KioskNet.

Shimin Guo, Mohammad Hossein Falaki, Earl A. Oliver, Sumair Ur Rahman, Aaditeshwar Seth, Matei A. Zaharia, Srinivasan Keshav

Comput. Commun. Rev., 2007

Finding Content in File-Sharing Networks When You Can't Even Spell.

Matei A. Zaharia, Amit Chandel, Stefan Saroiu, Srinivasan Keshav

Proceedings of the 6th International workshop on Peer-To-Peer Systems, 2007

Design and implementation of the KioskNet system.

Shimin Guo, Mohammad Hossein Falaki, Earl A. Oliver, Sumair Ur Rahman, Aaditeshwar Seth, Matei A. Zaharia, Usman Ismail, Srinivasan Keshav

Proceedings of the 2007 International Conference on Information and Communication Technologies and Development, 2007

2006

Low-cost communication for rural internet kiosks using mechanical backhaul.

Aaditeshwar Seth, D. Kroeker, Matei A. Zaharia, Shimin Guo, Srinivasan Keshav

Proceedings of the 12th Annual International Conference on Mobile Computing and Networking, 2006