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Tensor Relational Algebra for Distributed Machine Learning System Design

Summary: Proposes tensor relational algebra (TRA), a set-based abstraction for tensor-centric ML workloads. TRA operates on binary tensor relations with multi-dimensional keys to enable scalable distributed execution and auto-optimization; experiments show TRA back-end outperforms kernel-based ML workflows on clusters. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12511
Venue
VLDB
Year
2021
Pagerank
6.3232105e-05
Overall Rank
5,195 | 64.36%
DOI
10.14778/3457390.3457399

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yuan_vldb21,
        title = {{Tensor Relational Algebra for Distributed Machine Learning System Design}},
        author = {Yuan, Binhang and Jankov, Dimitrije and Zou, Jia and Tang, Yuxin and Bourgeois, Daniel and Jermaine, Chris},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {8},
        pages = {1338--1350},
        doi = {10.14778/3457390.3457399},
        url = {https://doi.org/10.14778/3457390.3457399},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 18 of 18 citing papers.

Rank Citing Paper Year Venue Pagerank
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
2,865 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.0180243e-05
4,067 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.9293511e-05
5,414 Optimizing Tensor Programs on Flexible Storage 2023 SIGMOD 6.2258658e-05
5,876 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 6.0557672e-05
6,339 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.907165e-05
6,708 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 5.7964983e-05
7,311 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 5.6491618e-05
8,513 Galley: Modern Query Optimization for Sparse Tensor Programs 2025 SIGMOD 5.4119882e-05
8,716 nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems 2024 VLDB 5.3776746e-05
8,908 Privacy and Accuracy-Aware AI/ML Model Deduplication 2025 SIGMOD 5.3483178e-05
9,834 EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution 2025 VLDB 5.2112879e-05
9,840 Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees 2021 VLDB 5.2103367e-05
9,880 MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training 2025 SIGMOD 5.2040783e-05
10,232 EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines 2026 SIGMOD 5.093636e-05
10,466 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 5.093636e-05
10,514 Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation 2026 VLDB 5.093636e-05
11,561 Givens QR Decomposition over Relational Databases 2022 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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