---
title: "Matei Zaharia — all works — Elamur Research"
description: "All 95 works of Matei Zaharia in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/matei-zaharia/works/"
---
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# Matei Zaharia — all works

95 works · [← Matei Zaharia](https://md.research.elamur.ai/free/en/authors/matei-zaharia/)

1. **[Above the Clouds: A Berkeley View of Cloud Computing ↗](https://openalex.org/W2131629857) no summary yet**Michael Armbrust et al.*2009 · 5,696 citations*
2. **[Spark: cluster computing with working sets ↗](https://openalex.org/W2189465200) no summary yet**Matei Zaharia et al.*2010 · 4,118 citations*
3. **[Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing ↗](https://openalex.org/W2131975293) no summary yet**Matei Zaharia et al.*2012 · 3,546 citations*
4. **[Apache Spark ↗](https://doi.org/10.1145/2934664) Communications of the ACM · no summary yet**Matei Zaharia et al.*2016 · 2,436 citations*
5. **[ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT](https://md.research.elamur.ai/free/en/papers/khattab-2020-colbert-efficient-effective-passage/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Omar Khattab, Matei Zaharia*2020 · 1,789 citations*
6. **[Improving MapReduce performance in heterogeneous environments ↗](https://doi.org/10.5555/1855741.1855744) no summary yet**Matei Zaharia et al.*2008 · 1,592 citations*
7. **[Mesos: a platform for fine-grained resource sharing in the data center ↗](https://doi.org/10.5555/1972457.1972488) no summary yet**Benjamin Hindman et al.*2011 · 1,582 citations*
8. **[Delay scheduling ↗](https://doi.org/10.1145/1755913.1755940) European Conference on Computer Systems · no summary yet**Matei Zaharia et al.*2010 · 1,395 citations*
9. **[Dominant resource fairness: fair allocation of multiple resource types ↗](https://doi.org/10.5555/1972457.1972490) no summary yet**Ali Ghodsi et al.*2011 · 1,077 citations*
10. **[Managing data transfers in computer clusters with orchestra ↗](https://doi.org/10.1145/2018436.2018448) ACM SIGCOMM Conference (SIGCOMM) · no summary yet**Mosharaf Chowdhury et al.*2011 · 544 citations*
11. **[ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://openalex.org/W2131166445) no summary yet**Matei Zaharia et al.*2012 · 418 citations*
13. **[Shark ↗](https://doi.org/10.1145/2463676.2465288) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Reynold Xin et al.*2013 · 369 citations*
14. **[Job Scheduling for Multi-User MapReduce Clusters ↗](https://openalex.org/W110612056) no summary yet**Matei Zaharia et al.*2009 · 319 citations*
15. **[Tachyon ↗](https://doi.org/10.1145/2670979.2670985) ACM Symposium on Cloud Computing (SoCC) · no summary yet**Haoyuan Li et al.*2014 · 297 citations*
16. [**DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines arXiv:2310.03714**Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.*2023 · 285 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/)
17. [**Beyond Data and Model Parallelism for Deep Neural Networks SysML 2019**Zhihao Jia, Matei Zaharia, Alex Aiken*2018 · 280 citations*](https://md.research.elamur.ai/free/en/papers/jia-2018-beyond-data-model-parallelism-deep/)
18. **[Sparse GPU Kernels for Deep Learning](https://md.research.elamur.ai/free/en/papers/gale-2020-sparse-gpu-kernels-deep-learning/) [2012 International Conference for High Performance Computing, Networking, Storage and Analysis](https://md.research.elamur.ai/free/en/venues/2012-international-conference-for-high-performance-computing-networking-storage/)**Trevor Gale, Matei Zaharia, Cliff Young, et al.*2020 · 259 citations*
19. [**FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance arXiv:2305.05176**Lingjiao Chen, Matei Zaharia, James Zou*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-frugalgpt-use-large-language-models/)
20. [**Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP arXiv:2212.14024**Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.*2022 · 222 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/)
21. [**Ring Attention with Blockwise Transformers for Near-Infinite Context arXiv:2310.01889**Hao Liu, Matei Zaharia, Pieter Abbeel*2023 · 212 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-ring-attention-blockwise-transformers-near/)
22. **[Structured Streaming ↗](https://doi.org/10.1145/3183713.3190664) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Michael Armbrust et al.*2018 · 209 citations*
23. **[Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks ↗](https://doi.org/10.1109/spw63631.2024.00018) IEEE Security and Privacy Workshops (SPW) · no summary yet**Daniel D. Kang et al.*2024 · 206 citations*
24. **[Faster and More Accurate Sequence Alignment with SNAP ↗](https://arxiv.org/abs/1111.5572) arXiv (Cornell University) · no summary yet**Matei Zaharia et al.*2011 · 205 citations*
25. **[ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗](https://aclanthology.org/2024.naacl-long.20/) 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 yet**Jon Saad-Falcon et al.*2024 · 191 citations*
26. **[Choosy ↗](https://doi.org/10.1145/2465351.2465387) no summary yet**Ali Ghodsi et al.*2013 · 173 citations*
27. **[Fast and Interactive Analytics over Hadoop Data with Spark ↗](https://openalex.org/W2550375374) no summary yet**Michael J. M. Franklin et al.*2012 · 161 citations*
28. **[Memory-Efficient Pipeline-Parallel DNN Training](https://md.research.elamur.ai/free/en/papers/narayanan-2020-memory-efficient-pipeline-parallel-dnn/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, et al.*2020 · 153 citations*
29. **[Selection via Proxy: Efficient Data Selection for Deep Learning ↗](https://arxiv.org/abs/1906.11829) arXiv (Cornell University) · no summary yet**Cody Coleman et al.*2019 · 148 citations*
30. [**Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads arXiv:2008.09213**Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, et al.*2020 · 141 citations*](https://md.research.elamur.ai/free/en/papers/narayanan-2020-heterogeneity-aware-cluster-scheduling-policies/)
31. [**RAFT: Adapting Language Model to Domain Specific RAG arXiv:2403.10131**Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.*2024 · 137 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-raft-adapting-language-model-domain/)
32. **[Shark ↗](https://doi.org/10.1145/2213836.2213934) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Clifford Engle et al.*2012 · 128 citations*
33. **[Relevance-guided Supervision for OpenQA with ColBERT](https://md.research.elamur.ai/free/en/papers/khattab-2021-relevance-guided-supervision-openqa-colbert/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Omar Khattab, Christopher Potts, Matei Zaharia*2021 · 121 citations*
34. **[GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning ↗](https://arxiv.org/abs/2507.19457) arXiv (Cornell University) · no summary yet**Agrawal, Lakshya A et al.*2025 · 111 citations*
35. **[Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing ↗](https://doi.org/10.21236/ada575859) no summary yet**Matei Zaharia et al.*2012 · 106 citations*
36. **[Scaling spark in the real world ↗](https://doi.org/10.14778/2824032.2824080) Proceedings of the VLDB Endowment · no summary yet**Michael Armbrust et al.*2015 · 101 citations*
37. **[Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://md.research.elamur.ai/free/en/papers/ong-2024-optimizing-instructions-demonstrations-multi-stage/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 RingAttention arXiv:2402.08268**Hao Liu, Wilson Yan, Matei Zaharia, et al.*2024 · 99 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-world-model-million-length-video/)
39. [**Why Do Multi-Agent LLM Systems Fail? arXiv:2503.13657**Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.*2025 · 89 citations*](https://md.research.elamur.ai/free/en/papers/cemri-2025-why-multi-agent-llm/)
40. [**TASO: Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions SOSP 2019**Zhihao Jia, Oded Padon, James Thomas, et al.*2019 · 72 citations*](https://md.research.elamur.ai/free/en/papers/jia-2019-taso-optimizing-deep-learning-computation/)
41. **[PLAID ↗](https://doi.org/10.1145/3511808.3557325) Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yet**Keshav Santhanam et al.*2022 · 69 citations*
42. **[Reasoning Models Can Be Effective Without Thinking ↗](https://arxiv.org/abs/2504.09858) arXiv:2504.09858 · no summary yet**Wenjie Ma et al.*2025 · 58 citations*
43. **[LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! ↗](https://arxiv.org/abs/2502.07374) arXiv:2502.07374 · no summary yet**Dacheng Li et al.*2025 · 56 citations*
44. **[MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs ↗](https://arxiv.org/abs/2411.11217) ASPLOS 2025 · no summary yet**Shiyi Cao et al.*2024 · 51 citations*
45. **[Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems ↗](https://arxiv.org/abs/2403.02419) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2024 · 46 citations*
46. **[PLAID: An Efficient Engine for Late Interaction Retrieval ↗](https://arxiv.org/abs/2205.09707) arXiv:2205.09707 · no summary yet**Keshav Santhanam et al.*2022 · 45 citations*
47. **[Reliable, Memory Speed Storage for Cluster Computing Frameworks ↗](https://doi.org/10.21236/ada611854) no summary yet**Haoyuan Li et al.*2014 · 44 citations*
48. **[ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems ↗](https://arxiv.org/abs/2311.09476) arXiv:2311.09476 · no summary yet**Jon Saad-Falcon et al.*2023 · 41 citations*
49. **[A common substrate for cluster computing ↗](https://openalex.org/W182911965) no summary yet**Benjamin Hindman et al.*2009 · 37 citations*
50. **[Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval ↗](https://arxiv.org/abs/2101.00436) arXiv (Cornell University) · no summary yet**Omar Khattab, Christopher E. Potts, Matei Zaharia*2021 · 35 citations*
51. **[Cloud terminal: secure access to sensitive applications from untrusted systems ↗](https://openalex.org/W2106738174) no summary yet**Lorenzo Martignoni et al.*2012 · 34 citations*
52. **[Hindsight: Posterior-guided training of retrievers for improved open-ended generation ↗](https://arxiv.org/abs/2110.07752) arXiv (Cornell University) · no summary yet**Ashwin Paranjape et al.*2021 · 31 citations*
53. **[The datacenter needs an operating system ↗](https://doi.org/10.5555/2170444.2170461) no summary yet**Matei Zaharia et al.*2011 · 30 citations*
54. **[MoE-L ightning : High-Throughput MoE Inference on Memory-constrained GPUs ↗](https://doi.org/10.1145/3669940.3707267) ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yet**Shiyi Cao et al.*2025 · 28 citations*
55. **[Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems ↗](https://doi.org/10.52202/079017-1455) neural information processing systems · no summary yet**Lingjiao Chen et al.*2024 · 27 citations*
56. **[Dominant Resource Fairness: Fair Allocation of Heterogeneous Resources in Datacenters ↗](https://openalex.org/W2188176423) UC Berkeley · no summary yet**Ali Ghodsi et al.*2010 · 18 citations*
57. **[EXP-Bench: Can AI Conduct AI Research Experiments? ↗](https://arxiv.org/abs/2505.24785) arXiv:2505.24785 · no summary yet**Patrick Tser Jern Kon et al.*2025 · 17 citations*
58. **[Barbarians at the Gate: How AI is Upending Systems Research ↗](https://arxiv.org/abs/2510.06189) arXiv (Cornell University) · no summary yet**Audrey Cheng et al.*2025 · 15 citations*
59. **[Nexus: A Common Substrate for Cluster Computing ↗](https://openalex.org/W9301319) no summary yet**Benjamin Hindman et al.*2009 · 15 citations*
60. **[Language Models Can Easily Learn to Reason from Demonstrations ↗](https://aclanthology.org/2025.findings-emnlp.866/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Dacheng Li et al.*2025 · 14 citations*
61. **[AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization ↗](https://arxiv.org/abs/2602.20133) arXiv (Cornell University) · no summary yet**Mert Cemri et al.*2026 · 13 citations*
62. **[Optimizing LLM Queries in Relational Data Analytics Workloads ↗](https://arxiv.org/abs/2403.05821) arXiv:2403.05821 · no summary yet**Shu Liu et al.*2024 · 12 citations*
63. **[Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ↗](https://aclanthology.org/2023.findings-acl.738/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Keshav Santhanam et al.*2023 · 12 citations*
64. **[Sparrow: Scalable Scheduling for Sub-Second Parallel Jobs ↗](https://openalex.org/W1458108873) no summary yet**Kay Ousterhout et al.*2013 · 12 citations*
65. **[HashAttention: Semantic Sparsity for Faster Inference ↗](https://arxiv.org/abs/2412.14468) arXiv:2412.14468 · no summary yet**Aditya Desai et al.*2024 · 11 citations*
66. **[DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines ↗](https://arxiv.org/abs/2312.13382) arXiv (Cornell University) · no summary yet**Arnav Singhvi et al.*2023 · 10 citations*
67. **[Optimizing Model Selection for Compound AI Systems ↗](https://arxiv.org/abs/2502.14815) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2025 · 9 citations*
68. **[SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent ↗](https://arxiv.org/abs/2511.16108) arXiv (Cornell University) · no summary yet**Shiyi Cao et al.*2025 · 8 citations*
69. **[Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First ↗](https://arxiv.org/abs/2509.00997) arXiv (Cornell University) · no summary yet**Liu, Shu et al.*2025 · 7 citations*
70. **[Establishing Best Practices for Building Rigorous Agentic Benchmarks ↗](https://arxiv.org/abs/2507.02825) arXiv:2507.02825 · no summary yet**Yuxuan Zhu et al.*2025 · 7 citations*
71. **[Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community ↗](https://doi.org/10.21236/ada555877) no summary yet**Matei Zaharia et al.*2012 · 7 citations*
72. **[BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation ↗](https://arxiv.org/abs/2502.01697) arXiv (Cornell University) · no summary yet**Zhu, Alan et al.*2025 · 6 citations*
73. **[Enabling Innovation Below the Communication API ↗](https://openalex.org/W2609894234) UC Berkeley · no summary yet**Ganesh Ananthanarayanan et al.*2009 · 6 citations*
74. **[Let the Barbarians In: How AI Can Accelerate Systems Performance Research ↗](https://arxiv.org/abs/2512.14806) arXiv (Cornell University) · no summary yet**Audrey Cheng et al.*2025 · 5 citations*
75. **[vAttention: Verified Sparse Attention ↗](https://arxiv.org/abs/2510.05688) arXiv (Cornell University) · no summary yet**Desai, Aditya et al.*2025 · 4 citations*
76. **[ColBERT-Serve: Efficient Multi-stage Memory-Mapped Scoring ↗](https://doi.org/10.1007/978-3-031-88717-8_3) Lecture notes in computer science · no summary yet**Kaili Huang et al.*2025 · 4 citations*
77. **[Establishing Best Practices in Building Rigorous Agentic Benchmarks ↗](https://doi.org/10.52202/085713-5547) neural information processing systems · no summary yet**Yuxuan Zhu et al.*2025 · 4 citations*
78. **[Specifications: The missing link to making the development of LLM systems an engineering discipline ↗](https://arxiv.org/abs/2412.05299) arXiv (Cornell University) · no summary yet**Ion Gabriel Stoica et al.*2024 · 4 citations*
79. **[Mesos: Flexible Resource Sharing for the Cloud. ↗](https://openalex.org/W2906973781) no summary yet**Benjamin Hindman et al.*2011 · 4 citations*
80. **[SkyDiscover: A Flexible, Adaptive Framework for AI-Driven Scientific and Algorithmic Discovery ↗](https://doi.org/10.1145/3786335.3813221) no summary yet**Shu Liu et al.*2026 · 2 citations*
81. **[LEANN: A Low-Storage Vector Index ↗](https://arxiv.org/abs/2506.08276) arXiv (Cornell University) · no summary yet**Yichuan Wang et al.*2025 · 2 citations*
82. **[Select Via Proxy: Efficient Data Selection For Training Deep Networks ↗](https://openalex.org/W2913111218) no summary yet**Cody Coleman et al.*2018 · 2 citations*
83. **[Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems ↗](https://arxiv.org/abs/2605.23109) arXiv (Cornell University) · no summary yet**Shubham Agarwal et al.*2026 · 1 citation*
84. **[optimize_anything: A Universal API for Optimizing any Text Parameter ↗](https://doi.org/10.1145/3786335.3813167) 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 yet**Lakshya A Agrawal et al.*2026 · 1 citation*
85. **[The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More ↗](https://arxiv.org/abs/2603.23971) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2026 · 1 citation*
86. **[Automatically Learning Skills for Coding Agents ↗](https://doi.org/10.1145/3786335.3813196) no summary yet**Shangyin Tan et al.*2026 · 1 citation*
87. **[FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution ↗](https://arxiv.org/abs/2608.16157) arXiv:2608.16157 · no summary yet**Shuo Yang et al.*2026 · 1 citation*
88. **[LangProBe: a Language Program Benchmark ↗](https://aclanthology.org/2025.findings-emnlp.1172/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Shangyin Tan et al.*2025 · 1 citation*
89. **[LangProBe: a Language Programs Benchmark ↗](https://arxiv.org/abs/2502.20315) arXiv (Cornell University) · no summary yet**Shangyin Tan et al.*2025 · 1 citation*
90. **[Composing Policy Gradients and Prompt Optimization for Language Model Programs ↗](https://arxiv.org/abs/2508.04660) arXiv (Cornell University) · no summary yet**Noah Ziems et al.*2025 · 1 citation*
91. **[A New Communications API ↗](https://openalex.org/W177012815) UC Berkeley · no summary yet**Ganesh Ananthanarayanan et al.*2009 · 1 citation*
92. **[AI-Driven Research for Databases ↗](https://arxiv.org/abs/2604.06566) arXiv (Cornell University) · no summary yet**Audrey Cheng et al.*2026*
93. **[Reality Is the Final Verifier: On Two Key Gaps in Agentic Software Engineering ↗](https://arxiv.org/abs/2609.12039) arXiv (Cornell University) · no summary yet**Alexander Krentsel et al.*2026*
94. **[The Time is Here for Just-in-Time Systems: Challenges and Opportunities ↗](https://arxiv.org/abs/2605.24096) arXiv (Cornell University) · no summary yet**Shu 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 ↗](https://arxiv.org/abs/2609.03141) arXiv (Cornell University) · no summary yet**Liana Patel et al.*2026*