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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
12500
Venue
VLDB
Year
2021
Pagerank
4.4889397e-05
Overall Rank
8,595 | 40.21%
DOI
10.14778/3476311.3476372

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