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EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution

Summary: Extended Einstein summation as a declarative abstraction for tensor computations, enabling automatic intra-operator parallelism by rewriting any Einstein-specified op into an equivalent tensor-relational form. Generalizes data/model parallelism and formulates algorithms to compute optimal, device-aware tensor-relational decompositions for operator graphs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13874
Venue
VLDB
Year
2025
Pagerank
4.3025567e-05
Overall Rank
9,694 | 32.57%
DOI
10.14778/3734839.3734858

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,279 Galley: Modern Query Optimization for Sparse Tensor Programs 2025 SIGMOD 4.5435639e-05
10,226 Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation 2026 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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