Towards A Polyglot Framework for Factorized ML

Summary: Proposes Trinity, a polyglot framework that writes factorized LA ML logic once and reuses it across languages via GraalVM. Delivers 8x speedups over materialized joins and supports cross-PL workflows, competitive with Morpheus without PL-specific reimplementation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12688
Venue: VLDB
Year: 2021
Pagerank: 5.395289e-05
Overall Rank: 8,638 | 40.74%
DOI: 10.14778/3476311.3476372

Incoming Non-self Citations Over Time

Authors

1. David Justo (University of California San Diego)
2. Shaoqing Yi (University of California San Diego)
3. Lukas Stadler (Oracle)
4. Nadia Polikarpova (University of California San Diego)
5. Arun Kumar (University of California San Diego)

BibTeX Citation

@article{justo_vldb21,
        title = {{Towards A Polyglot Framework for Factorized ML}},
        author = {Justo, David and Yi, Shaoqing and Stadler, Lukas and Polikarpova, Nadia and Kumar, Arun},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {2918--2931},
        doi = {10.14778/3476311.3476372},
        url = {https://doi.org/10.14778/3476311.3476372},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,112	Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	2023	VLDB	5.6990782e-05
11,189	StarfishDB: a Query Execution Engine for Relational Probabilistic Programming	2024	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
536	Learning Linear Regression Models over Factorized Joins	2016	SIGMOD	0.0001693369
715	Learning Generalized Linear Models Over Normalized Data	2015	SIGMOD	0.00014655327
835	Scaling Factorization Machines to Relational Data	2013	VLDB	0.00013721583
1,229	Weld: A Common Runtime for High Performance Data Analytics	2017	CIDR	0.00011578425
1,235	Towards Linear Algebra over Normalized Data	2017	VLDB	0.00011548457
2,179	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	9.0146333e-05
2,239	An Intermediate Representation for Optimizing Machine Learning Pipelines	2019	VLDB	8.8875753e-05
2,316	Evaluating End-to-End Optimization for Data Analytics Applications in Weld	2018	VLDB	8.7596739e-05
2,769	A Layered Aggregate Engine for Analytics Workloads	2019	SIGMOD	8.1465406e-05
2,927	In-Database Learning with Sparse Tensors	2018	PODS	7.9531195e-05
3,459	A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics	2018	VLDB	7.3953716e-05
5,557	Demonstration of Santoku: Optimizing Machine Learning over Normalized Data	2015	VLDB	6.17499e-05
8,057	Architecting a Query Compiler for Spatial Workloads	2020	SIGMOD	5.4982831e-05
8,438	Flare & Lantern: Efficiently Swapping Horses Midstream	2019	VLDB	5.4251194e-05

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