🧑‍🔬 Matei Zaharia — all works

95 works · ← Matei Zaharia

1. Above the Clouds: A Berkeley View of Cloud Computing ↗no summary yetMichael Armbrust et al.2009 · 5,696 citations
2. Spark: cluster computing with working sets ↗no summary yetMatei Zaharia et al.2010 · 4,118 citations
3. Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing ↗no summary yetMatei Zaharia et al.2012 · 3,546 citations
4. Apache Spark ↗Communications of the ACM · no summary yetMatei Zaharia et al.2016 · 2,436 citations
5. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Omar Khattab, Matei Zaharia2020 · 1,789 citations
6. Improving MapReduce performance in heterogeneous environments ↗no summary yetMatei Zaharia et al.2008 · 1,592 citations
7. Mesos: a platform for fine-grained resource sharing in the data center ↗no summary yetBenjamin Hindman et al.2011 · 1,582 citations
8. Delay scheduling ↗European Conference on Computer Systems · no summary yetMatei Zaharia et al.2010 · 1,395 citations
9. Dominant resource fairness: fair allocation of multiple resource types ↗no summary yetAli Ghodsi et al.2011 · 1,077 citations
10. Managing data transfers in computer clusters with orchestra ↗ACM SIGCOMM Conference (SIGCOMM) · no summary yetMosharaf Chowdhury et al.2011 · 544 citations
11. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 485 citations
12. Discretized streams: an efficient and fault-tolerant model for stream processing on large clusters ↗no summary yetMatei Zaharia et al.2012 · 418 citations
13. Shark ↗Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yetReynold Xin et al.2013 · 369 citations
14. Job Scheduling for Multi-User MapReduce Clusters ↗no summary yetMatei Zaharia et al.2009 · 319 citations
15. Tachyon ↗ACM Symposium on Cloud Computing (SoCC) · no summary yetHaoyuan Li et al.2014 · 297 citations
16. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesarXiv:2310.03714Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 285 citations
17. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
18. Sparse GPU Kernels for Deep Learning2012 International Conference for High Performance Computing, Networking, Storage and AnalysisTrevor Gale, Matei Zaharia, Cliff Young, et al.2020 · 259 citations
19. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformancearXiv:2305.05176Lingjiao Chen, Matei Zaharia, James Zou2023 · 241 citations
20. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLParXiv:2212.14024Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 222 citations
21. Ring Attention with Blockwise Transformers for Near-Infinite ContextarXiv:2310.01889Hao Liu, Matei Zaharia, Pieter Abbeel2023 · 212 citations
22. Structured Streaming ↗Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yetMichael Armbrust et al.2018 · 209 citations
23. Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks ↗IEEE Security and Privacy Workshops (SPW) · no summary yetDaniel D. Kang et al.2024 · 206 citations
24. Faster and More Accurate Sequence Alignment with SNAP ↗arXiv (Cornell University) · no summary yetMatei Zaharia et al.2011 · 205 citations
25. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJon Saad-Falcon et al.2024 · 191 citations
26. Choosy ↗no summary yetAli Ghodsi et al.2013 · 173 citations
27. Fast and Interactive Analytics over Hadoop Data with Spark ↗no summary yetMichael J. M. Franklin et al.2012 · 161 citations
28. Memory-Efficient Pipeline-Parallel DNN TrainingInternational Conference on Machine Learning (ICML)Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, et al.2020 · 153 citations
29. Selection via Proxy: Efficient Data Selection for Deep Learning ↗arXiv (Cornell University) · no summary yetCody Coleman et al.2019 · 148 citations
30. Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning WorkloadsarXiv:2008.09213Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.2020 · 141 citations
31. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
32. Shark ↗Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yetClifford Engle et al.2012 · 128 citations
33. Relevance-guided Supervision for OpenQA with ColBERTTransactions of the Association for Computational Linguistics (TACL)Omar Khattab, Christopher Potts, Matei Zaharia2021 · 121 citations
34. GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAgrawal, Lakshya A et al.2025 · 111 citations
35. Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing ↗no summary yetMatei Zaharia et al.2012 · 106 citations
36. Scaling spark in the real world ↗Proceedings of the VLDB Endowment · no summary yetMichael Armbrust et al.2015 · 101 citations
37. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
38. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
39. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
40. TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph SubstitutionsSOSP 2019Zhihao Jia, Oded Padon, James Thomas, et al.2019 · 72 citations
41. PLAID ↗Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yetKeshav Santhanam et al.2022 · 69 citations
42. Reasoning Models Can Be Effective Without Thinking ↗arXiv:2504.09858 · no summary yetWenjie Ma et al.2025 · 58 citations
43. LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! ↗arXiv:2502.07374 · no summary yetDacheng Li et al.2025 · 56 citations
44. MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs ↗ASPLOS 2025 · no summary yetShiyi Cao et al.2024 · 51 citations
45. Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems ↗arXiv (Cornell University) · no summary yetLingjiao Chen et al.2024 · 46 citations
46. PLAID: An Efficient Engine for Late Interaction Retrieval ↗arXiv:2205.09707 · no summary yetKeshav Santhanam et al.2022 · 45 citations
47. Reliable, Memory Speed Storage for Cluster Computing Frameworks ↗no summary yetHaoyuan Li et al.2014 · 44 citations
48. ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗arXiv:2311.09476 · no summary yetJon Saad-Falcon et al.2023 · 41 citations
49. A common substrate for cluster computing ↗no summary yetBenjamin Hindman et al.2009 · 37 citations
50. Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval ↗arXiv (Cornell University) · no summary yetOmar Khattab, Christopher E. Potts, Matei Zaharia2021 · 35 citations
51. Cloud terminal: secure access to sensitive applications from untrusted systems ↗no summary yetLorenzo Martignoni et al.2012 · 34 citations
52. Hindsight: Posterior-guided training of retrievers for improved open-ended generation ↗arXiv (Cornell University) · no summary yetAshwin Paranjape et al.2021 · 31 citations
53. The datacenter needs an operating system ↗no summary yetMatei Zaharia et al.2011 · 30 citations
54. MoE-L ightning : High-Throughput MoE Inference on Memory-constrained GPUs ↗ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yetShiyi Cao et al.2025 · 28 citations
55. Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems ↗neural information processing systems · no summary yetLingjiao Chen et al.2024 · 27 citations
56. Dominant Resource Fairness: Fair Allocation of Heterogeneous Resources in Datacenters ↗UC Berkeley · no summary yetAli Ghodsi et al.2010 · 18 citations
57. EXP-Bench: Can AI Conduct AI Research Experiments? ↗arXiv:2505.24785 · no summary yetPatrick Tser Jern Kon et al.2025 · 17 citations
58. Barbarians at the Gate: How AI is Upending Systems Research ↗arXiv (Cornell University) · no summary yetAudrey Cheng et al.2025 · 15 citations
59. Nexus: A Common Substrate for Cluster Computing ↗no summary yetBenjamin Hindman et al.2009 · 15 citations
60. Language Models Can Easily Learn to Reason from Demonstrations ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetDacheng Li et al.2025 · 14 citations
61. AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization ↗arXiv (Cornell University) · no summary yetMert Cemri et al.2026 · 13 citations
62. Optimizing LLM Queries in Relational Data Analytics Workloads ↗arXiv:2403.05821 · no summary yetShu Liu et al.2024 · 12 citations
63. Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetKeshav Santhanam et al.2023 · 12 citations
64. Sparrow: Scalable Scheduling for Sub-Second Parallel Jobs ↗no summary yetKay Ousterhout et al.2013 · 12 citations
65. HashAttention: Semantic Sparsity for Faster Inference ↗arXiv:2412.14468 · no summary yetAditya Desai et al.2024 · 11 citations
66. DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines ↗arXiv (Cornell University) · no summary yetArnav Singhvi et al.2023 · 10 citations
67. Optimizing Model Selection for Compound AI Systems ↗arXiv (Cornell University) · no summary yetLingjiao Chen et al.2025 · 9 citations
68. SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent ↗arXiv (Cornell University) · no summary yetShiyi Cao et al.2025 · 8 citations
69. Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First ↗arXiv (Cornell University) · no summary yetLiu, Shu et al.2025 · 7 citations
70. Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗arXiv:2507.02825 · no summary yetYuxuan Zhu et al.2025 · 7 citations
71. Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community ↗no summary yetMatei Zaharia et al.2012 · 7 citations
72. BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation ↗arXiv (Cornell University) · no summary yetZhu, Alan et al.2025 · 6 citations
73. Enabling Innovation Below the Communication API ↗UC Berkeley · no summary yetGanesh Ananthanarayanan et al.2009 · 6 citations
74. Let the Barbarians In: How AI Can Accelerate Systems Performance Research ↗arXiv (Cornell University) · no summary yetAudrey Cheng et al.2025 · 5 citations
75. vAttention: Verified Sparse Attention ↗arXiv (Cornell University) · no summary yetDesai, Aditya et al.2025 · 4 citations
76. ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring ↗Lecture notes in computer science · no summary yetKaili Huang et al.2025 · 4 citations
77. Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗neural information processing systems · no summary yetYuxuan Zhu et al.2025 · 4 citations
78. Specifications: The missing link to making the development of LLM systems an engineering discipline ↗arXiv (Cornell University) · no summary yetIon Gabriel Stoica et al.2024 · 4 citations
79. Mesos: Flexible Resource Sharing for the Cloud. ↗no summary yetBenjamin Hindman et al.2011 · 4 citations
80. SkyDiscover: A Flexible, Adaptive Framework for AI-Driven Scientific and Algorithmic Discovery ↗no summary yetShu Liu et al.2026 · 2 citations
81. LEANN: A Low-Storage Vector Index ↗arXiv (Cornell University) · no summary yetYichuan Wang et al.2025 · 2 citations
82. Select Via Proxy: Efficient Data Selection For Training Deep Networks ↗no summary yetCody Coleman et al.2018 · 2 citations
83. Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems ↗arXiv (Cornell University) · no summary yetShubham Agarwal et al.2026 · 1 citation
84. optimize_anything: A Universal API for Optimizing any Text Parameter ↗arXiv:2605.19633 · Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 26), May 26-29, 2026, San Jose, CA, USA · no summary yetLakshya A Agrawal et al.2026 · 1 citation
85. The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More ↗arXiv (Cornell University) · no summary yetLingjiao Chen et al.2026 · 1 citation
86. Automatically Learning Skills for Coding Agents ↗no summary yetShangyin Tan et al.2026 · 1 citation
87. FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution ↗arXiv:2608.16157 · no summary yetShuo Yang et al.2026 · 1 citation
88. LangProBe: a Language Program Benchmark ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetShangyin Tan et al.2025 · 1 citation
89. LangProBe: a Language Programs Benchmark ↗arXiv (Cornell University) · no summary yetShangyin Tan et al.2025 · 1 citation
90. Composing Policy Gradients and Prompt Optimization for Language Model Programs ↗arXiv (Cornell University) · no summary yetNoah Ziems et al.2025 · 1 citation
91. A New Communications API ↗UC Berkeley · no summary yetGanesh Ananthanarayanan et al.2009 · 1 citation
92. AI-Driven Research for Databases ↗arXiv (Cornell University) · no summary yetAudrey Cheng et al.2026
93. Reality Is the Final Verifier: On Two Key Gaps in Agentic Software Engineering ↗arXiv (Cornell University) · no summary yetAlexander Krentsel et al.2026
94. The Time is Here for Just-in-Time Systems: Challenges and Opportunities ↗arXiv (Cornell University) · no summary yetShu Liu et al.2026
95. What Happens When the Model Eats the Stack? Rethinking the Research Agenda for Data Agents to Withstand the Bitter Lesson ↗arXiv (Cornell University) · no summary yetLiana Patel et al.2026

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