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SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra

Summary: Converts large-scale linear algebra to relational algebra and optimizes via complete equality saturation. SPORES uses rule sampling to explore expression spaces and a solver to pick the optimal plan; integrated with SystemML, it yields up to 10× speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12277
Venue
VLDB
Year
2020
Pagerank
6.4168322e-05
Overall Rank
4,976 | 65.87%
DOI
10.14778/3407790.3407799

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb20,
        title = {{SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra}},
        author = {Wang, Yisu Remy and Hutchison, Shana and Leang, Jonathan and Howe, Bill and Suciu, Dan},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {1919--1932},
        doi = {10.14778/3407790.3407799},
        url = {https://doi.org/10.14778/3407790.3407799},
        year = {2020}
}

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