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: 5365
Venue: SIGMOD
Year: 2017
Pagerank: 6.0009079e-05
Overall Rank: 6,030 | 58.63%
DOI: 10.1145/3035918.3035937

Incoming Non-self Citations Over Time

Authors

1. Zekai J. Gao (Rice University)
2. Shangyu Luo (Rice University)
3. Luis L. Perez (Rice University)
4. Chris Jermaine (Rice University)

BibTeX Citation

@inproceedings{gao_sigmod17,
        title = {{The BUDS Language for Distributed Bayesian Machine Learning}},
        author = {Gao, Zekai J. and Luo, Shangyu and Perez, Luis L. and Jermaine, Chris},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035937},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035937},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,250	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011485301
2,769	A Layered Aggregate Engine for Analytics Workloads	2019	SIGMOD	8.1465406e-05
6,632	DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs	2019	SIGMOD	5.8190054e-05
10,836	Quantum Data Management in the NISQ Era	2025	VLDB	5.093636e-05
11,189	StarfishDB: a Query Execution Engine for Relational Probabilistic Programming	2024	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
16	MAGIC SETS AND OTHER STRANGE WAYS TO IMPLEMENT LOGIC PROGRAMS (Extended Abstract)	1986	PODS	0.00060089598
106	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033539462
239	Overview of SciDB: Large Scale Array Storage, Processing and Analysis	2010	SIGMOD	0.00023674329
518	Towards a Unified Architecture for in-RDBMS Analytics	2012	SIGMOD	0.00017167492
993	Simulation of Database-Valued Markov Chains Using SimSQL	2013	SIGMOD	0.00012789598
1,039	RIOT: I/O-Efficient Numerical Computing without SQL	2009	CIDR	0.00012474977
1,333	Ricardo: Integrating R and Hadoop	2010	SIGMOD	0.0001112858
1,434	A Query Language for Multidimensional Arrays: Design, Implementation, and Optimization Techniques	1996	SIGMOD	0.00010800479
1,870	Microsoft Index Tuning Wizard for SQL Server 7.0	1998	SIGMOD	9.579726e-05
1,909	A Call to Order	1993	PODS	9.4991504e-05
2,164	Opening the Black Boxes in Data Flow Optimization	2012	VLDB	9.0521951e-05
2,717	Implicit Parallelism through Deep Language Embedding	2015	SIGMOD	8.2102313e-05
3,543	A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms	2014	SIGMOD	7.3268101e-05

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