Matei Zaharia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
97
Venues
30
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*SIGMOD15 papers
- ACIDR10 papers
- A*SOSP9 papers
- A*ICLR7 papers
- NationalNSDI7 papers
- A*ICML4 papers
- BCLOUD4 papers
- AUSENIX4 papers
- A*AAAI3 papers
- A*SIGIR3 papers
- A*EMNLP3 papers
- NationalHOTNETS3 papers
- A*OSDI3 papers
- A*ASPLOS2 papers
- ANAACL2 papers
- ASC2 papers
- AEuroSys2 papers
- A*SIGCOMM2 papers
- AECIR1 paper
- A*SP1 paper
- A*ACL1 paper
- A*INFOCOM1 paper
- ACIKM1 paper
- AHotOS1 paper
- A*CCS1 paper
- BSPAA1 paper
- A*ICDE1 paper
- A*KDD1 paper
- BCogSci1 paper
- CICTD1 paper
Papers
97 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. | Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min |
| 2026 | CIDR | Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. | Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran |
| 2026 | SIGIR | Can QPP Choose the Right Query variant? Evaluating Query Variant Selection for RAG Pipelines. | Negar Arabzadeh, Andrew Drozdov, Michael Bendersky, Matei Zaharia |
| 2025 | ASPLOS | MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. | Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica |
| 2025 | CIDR | Text2SQL is Not Enough: Unifying AI and Databases with TAG. | Asim Biswal, Siddharth Jha, Carlos Guestrin, Matei Zaharia, Joseph E. Gonzalez, Amog Kamsetty, Shu Liu, Liana Patel |
| 2025 | ECIR | ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring. | Kaili Huang, Thejas Venkatesh, Uma Dingankar, Antonio Mallia, Daniel Campos, Jian Jiao, Christopher Potts, Matei Zaharia, Kwabena Boahen, Omar Khattab, Saarthak Sarup, Keshav Santhanam |
| 2025 | EMNLP | Language Models Can Easily Learn to Reason from Demonstrations. | Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2025 | EMNLP | LangProBe: a Language Program Benchmark. | Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Daniel Klein, Omar Khattab, Koushik Sen, Matei Zaharia |
| 2025 | HOTNETS | Rethinking the Cost of Distributed Caches for Datacenter Services. | Ziming Mao, Jonathan D. Ellithorpe, Atul Adya, Rishabh Iyer, Matei Zaharia, Scott Shenker, Ion Stoica |
| 2025 | ICLR | World Model on Million-Length Video And Language With Blockwise RingAttention. | Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel |
| 2025 | ICLR | ElasticTok: Adaptive Tokenization for Image and Video. | Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu |
| 2025 | ICML | HashAttention: Semantic Sparsity for Faster Inference. | Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2025 | OSDI | Compass: Encrypted Semantic Search with High Accuracy. | Jinhao Zhu, Liana Patel, Matei Zaharia, Raluca Ada Popa |
| 2025 | SIGIR | WARP: An Efficient Engine for Multi-Vector Retrieval. | Jan Luca Scheerer, Matei Zaharia, Christopher Potts, Gustavo Alonso, Omar Khattab |
| 2025 | SIGMOD | Blink Twice - Automatic Workload Pinning and Regression Detection for Versionless Apache Spark using Retries. | Justin Breese, Vijayan Prabhakaran, Martin Grund, Stefania Leone, Amit Shukla, Michael Armbrust, Reynold Xin, Matei Zaharia, Lennart Kats, Sung Chiu, Tatiana Romanova, Philip Nord, Mitchell Webster, Chris Munson, Bo Pang, David Ma |
| 2025 | SIGMOD | Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond. | Ramesh Chandra, Haogang Chen, Ray Matharu, Sarah Cai, Jeff Chen, Priyam Dutta, Bogdan Ghita, Todd Greenstein, Gopal Holla, Peng Huang, Yuchen Huo, Adrian Ionescu, Adriana Ispas, Tim Januschowski, Vihang Karajgaonkar, Stefania Leone, David Lewis, Andrew Li, Nong Li, Cheng Lian, Stephen Link, Qing Lu, Yesheng Ma, Chris Pettitt, Vijayan Prabhakaran, Bogdan Raducanu, Kyle Rong, Paul Roome, Samarth Shetty, Sean Smith, Xiaotong Sun, Yuyuan Tang, Weitao Wen, Lei Xia, Junlin Zeng, Ben Zhang, Reynold Xin, Matei Zaharia |
| 2025 | SIGMOD | Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads. | Martin Grund, Stefania Leone, Herman Van Hvell, Sven Wagner-Boysen, Sebastian Hillig, Hyukjin Kwon, David Lewis, Jakob Mund, Polo-Francois Poli, Lionel Montrieux, Othon Crelier, Xiao Li, Reynold Xin, Matei Zaharia, Michalis Petropoulos, Thanos Papathanasiou |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | RingAttention with Blockwise Transformers for Near-Infinite Context. | Hao Liu, Matei Zaharia, Pieter Abbeel |
| 2024 | ICLR | 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 |
| 2024 | NAACL | ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. | Jon Saad-Falcon, Omar Khattab, Christopher Potts, Matei Zaharia |
| 2024 | SP | Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. | Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto |
| 2023 | AAAI | HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. | Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher R, Matei Zaharia, James Zou |
| 2023 | ACL | 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 |
| 2023 | CIDR | Analyzing and Comparing Lakehouse Storage Systems. | Paras Jain, Peter Kraft, Conor Power, Tathagata Das, Ion Stoica, Matei Zaharia |
| 2023 | CIDR | Transactions Make Debugging Easy. | Qian Li, Peter Kraft, Michael J. Cafarella, agatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia |
| 2023 | INFOCOM | Congestion Control Safety via Comparative Statics. | Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto |
| 2023 | SOSP | 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 |
| 2022 | AAAI | 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 |
| 2022 | CIDR | 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 |
| 2022 | CIDR | VIVA: An End-to-End System for Interactive Video Analytics. | Daniel Kang, Francisco Romero, Peter D. Bailis, Christos Kozyrakis, Matei Zaharia |
| 2022 | CIKM | PLAID: An Efficient Engine for Late Interaction Retrieval. | Keshav Santhanam, Omar Khattab, Christopher Potts, Matei Zaharia |
| 2022 | ICLR | How Did the Model Change? Efficiently Assessing Machine Learning API Shifts. | Lingjiao Chen, Matei Zaharia, James Zou |
| 2022 | ICLR | Hindsight: Posterior-guided training of retrievers for improved open-ended generation. | Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D. Manning |
| 2022 | ICML | Efficient Online ML API Selection for Multi-Label Classification Tasks. | Lingjiao Chen, Matei Zaharia, James Zou |
| 2022 | NAACL | ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. | Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, Matei Zaharia |
| 2022 | NSDI | Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems. | Peter Kraft, Fiodar Kazhamiaka, Peter Bailis, Matei Zaharia |
| 2022 | SIGMOD | 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 |
| 2022 | SIGMOD | Finding Label and Model Errors in Perception Data With Learned Observation Assertions. | Daniel Kang, Nikos Archiga, Sudeep Pillai, Peter D. Bailis, Matei Zaharia |
| 2022 | SIGMOD | TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data. | Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia |
| 2021 | CIDR | Challenges and Opportunities for Autonomous Vehicle Query Systems. | Fiodar Kazhamiaka, Matei Zaharia, Peter Bailis |
| 2021 | CIDR | Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics. | Matei Zaharia, Ali Ghodsi, Reynold Xin, Michael Armbrust |
| 2021 | CLOUD | 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 |
| 2021 | HOTNETS | Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control. | Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto |
| 2021 | HotOS | Breakfast of champions: towards zero-copy serialization with NIC scatter-gather. | Deepti Raghavan, Philip Alexander Levis, Matei Zaharia, Irene Zhang |
| 2021 | ICML | Memory-Efficient Pipeline-Parallel DNN Training. | Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia |
| 2021 | NSDI | Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. | Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis |
| 2021 | SC | 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 |
| 2021 | SOSP | 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 |
| 2020 | ASPLOS | Fleet: A Framework for Massively Parallel Streaming on FPGAs. | James Thomas, Pat Hanrahan, Matei Zaharia |
| 2020 | CCS | PPMLP 2020: Workshop on Privacy-Preserving Machine Learning In Practice. | Benyu Zhang, Matei Zaharia, Shouling Ji, Raluca Ada Popa, Guofei Gu |
| 2020 | ICLR | 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 |
| 2020 | OSDI | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. | Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia |
| 2020 | SIGIR | ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. | Omar Khattab, Matei Zaharia |
| 2020 | SC | Sparse GPU kernels for deep learning. | Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen |
| 2020 | SIGMOD | 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 |
| 2020 | USENIX | POSH: A Data-Aware Shell. | Deepti Raghavan, Sadjad Fouladi, Philip Alexander Levis, Matei Zaharia |
| 2020 | USENIX | Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads. | Gina Yuan, Shoumik Palkar, Deepak Narayanan, Matei Zaharia |
| 2020 | SPAA | Spectral Lower Bounds on the I/O Complexity of Computation Graphs. | Saachi Jain, Matei Zaharia |
| 2019 | CIDR | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine. | Daniel Kang, Peter Bailis, Matei Zaharia |
| 2019 | CLOUD | Lessons from Large-Scale Software as a Service at Databricks. | Matei Zaharia |
| 2019 | ICDE | To Index or Not to Index: Optimizing Exact Maximum Inner Product Search. | Firas Abuzaid, Geet Sethi, Peter Bailis, Matei Zaharia |
| 2019 | ICML | LIT: Learned Intermediate Representation Training for Model Compression. | Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia |
| 2019 | USENIX | 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 |
| 2019 | SOSP | TASO: optimizing deep learning computation with automatic generation of graph substitutions. | Zhihao Jia, Oded Padon, James Thomas, Todd Warszawski, Matei Zaharia, Alex Aiken |
| 2019 | SOSP | 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 |
| 2019 | SOSP | Optimizing data-intensive computations in existing libraries with split annotations. | Shoumik Palkar, Matei Zaharia |
| 2018 | SIGMOD | 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 |
| 2018 | SIGMOD | MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis. | Manasi Vartak, Joana M. F. da Trindade, Samuel Madden, Matei Zaharia |
| 2017 | CIDR | 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 |
| 2017 | HOTNETS | DIY Hosting for Online Privacy. | Shoumik Palkar, Matei Zaharia |
| 2017 | NSDI | Splinter: Practical Private Queries on Public Data. | Frank Wang, Catherine Yun, Shafi Goldwasser, Vinod Vaikuntanathan, Matei Zaharia |
| 2017 | SOSP | Stadium: A Distributed Metadata-Private Messaging System. | Nirvan Tyagi, Yossi Gilad, Derek Leung, Matei Zaharia, Nickolai Zeldovich |
| 2016 | KDD | 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 |
| 2016 | NSDI | FairRide: Near-Optimal, Fair Cache Sharing. | Qifan Pu, Haoyuan Li, Matei Zaharia, Ali Ghodsi, Ion Stoica |
| 2016 | SIGMOD | Introduction to Spark 2.0 for Database Researchers. | Michael Armbrust, Doug Bateman, Reynold Xin, Matei Zaharia |
| 2016 | SIGMOD | ModelDB: a system for machine learning model management. | Manasi Vartak, Harihar Subramanyam, Wei-En Lee, Srinidhi Viswanathan, Saadiyah Husnoo, Samuel Madden, Matei Zaharia |
| 2016 | SIGMOD | 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 |
| 2015 | SIGMOD | 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 |
| 2015 | SOSP | Vuvuzela: scalable private messaging resistant to traffic analysis. | Jelle van den Hooff, David Lazar, Matei Zaharia, Nickolai Zeldovich |
| 2014 | CLOUD | Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks. | Haoyuan Li, Ali Ghodsi, Matei Zaharia, Scott Shenker, Ion Stoica |
| 2013 | EuroSys | Choosy: max-min fair sharing for datacenter jobs with constraints. | Ali Ghodsi, Matei Zaharia, Scott Shenker, Ion Stoica |
| 2013 | SIGMOD | Shark: SQL and rich analytics at scale. | Reynold S. Xin, Josh Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica |
| 2013 | SOSP | Sparrow: distributed, low latency scheduling. | Kay Ousterhout, Patrick Wendell, Matei Zaharia, Ion Stoica |
| 2013 | SOSP | Discretized streams: fault-tolerant streaming computation at scale. | Matei Zaharia, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, Ion Stoica |
| 2012 | CogSci | Optimally Designing Games for Cognitive Science Research. | Anna N. Rafferty, Matei Zaharia, Thomas L. Griffiths |
| 2012 | NSDI | 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 |
| 2012 | SIGMOD | Shark: fast data analysis using coarse-grained distributed memory. | Cliff Engle, Antonio Lupher, Reynold Xin, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica |
| 2012 | SIGCOMM | Multi-resource fair queueing for packet processing. | Ali Ghodsi, Vyas Sekar, Matei Zaharia, Ion Stoica |
| 2012 | USENIX | 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 |
| 2011 | CLOUD | 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 |
| 2011 | NSDI | Dominant Resource Fairness: Fair Allocation of Multiple Resource Types. | Ali Ghodsi, Matei Zaharia, Benjamin Hindman, Andy Konwinski, Scott Shenker, Ion Stoica |
| 2011 | NSDI | 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 |
| 2011 | SIGCOMM | Managing data transfers in computer clusters with orchestra. | Mosharaf Chowdhury, Matei Zaharia, Justin Ma, Michael I. Jordan, Ion Stoica |
| 2010 | EuroSys | 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 |
| 2009 | ICTD | ICTD for healthcare in Ghana: Two parallel case studies. | Rowena Luk, Matei Zaharia, Melissa R. Ho, Brian Levine, Paul M. Aoki |
| 2008 | OSDI | Improving MapReduce Performance in Heterogeneous Environments. | Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy H. Katz, Ion Stoica |