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SystemML: Declarative Machine Learning on Spark

Summary: Declarative ML via SystemML's DSL for linear algebra lets data scientists express custom algorithms while Spark uses cost-based plans. End-to-end Spark integration yields in-memory and scalable plans; open-source with optimizer/runtime insights for research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11251
Venue
VLDB
Year
2016
Pagerank
0.00020197988
Overall Rank
557 | 96.13%
DOI
-

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