Matei Zaharia

According to our database, Matei Zaharia authored at least 115 papers between 2006 and 2021.

Collaborative distances:

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

2021

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

Omar Khattab, Christopher Potts, Matei Zaharia

CoRR, 2021

2020

Posh: A Data-Aware Shell.

Deepti Raghavan, Sadjad Fouladi, Philip 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

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

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads.

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

CoRR, 2020

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

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

Relevance-guided Supervision for OpenQA with ColBERT.

Omar Khattab, Christopher Potts, 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

Overlook: Differentially Private Exploratory Visualization for Big Data.

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

CoRR, 2020

Sparse GPU Kernels for Deep Learning.

Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen

CoRR, 2020

Memory-Efficient Pipeline-Parallel DNN Training.

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

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

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 Machine Learning and Systems 2020, 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 Machine Learning and Systems 2020, 2020

Model Assertions for Monitoring and Improving ML Models.

Daniel Kang, Deepti Raghavan, Peter Bailis, Matei Zaharia

Proceedings of Machine Learning and Systems 2020, 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 Machine Learning and Systems 2020, 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

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 J. 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

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

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

CoRR, 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 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

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 J. 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 Machine Learning and Systems 2019, 2019

Optimizing DNN Computation with Relaxed Graph Substitutions.

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

Proceedings of Machine Learning and Systems 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 CIDR 2019, 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 J. 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 J. 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 J. Thomas, Anil Shanbhag, Malte Schwarzkopf, Saman P. Amarasinghe, Matei Zaharia

Proceedings of the CIDR 2017, 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, 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 R. 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 S. 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 R. 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 R. 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