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The BUDS Language for Distributed Bayesian Machine Learning

Summary: Declarative language for specifying distributed Bayesian ML algorithms; BUDS uses logical types (vectors, arrays) decoupled from their physical layout. The compiler co-optimizes data representation and concrete operation implementations (matmul, transpose, Hadamard), generating efficient, platform-aware code. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5303
Venue
SIGMOD
Year
2017
Pagerank
5.1124615e-05
Overall Rank
6,322 | 56.02%
DOI
10.1145/3035918.3035937

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