DBScholar

Back to papers

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
h925b54aabed93192
Venue
VLDB
Year
2016
Pagerank
0.0001865959
Overall Rank
415 | 97.22%
DOI
10.14778/3007263.3007273

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{boehm_vldb16,
        title = {{SystemML: Declarative Machine Learning on Spark}},
        author = {Boehm, Matthias and Dusenberry, Michael W. and Eriksson, Deron and Evfimievski, Alexandre V. and Manshadi, Faraz Makari and Pansare, Niketan and Reinwald, Berthold and Reiss, Frederick R. and Sen, Prithviraj and Surve, Arvind C. and Tatikonda, Shirish},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1425--1436},
        doi = {10.14778/3007263.3007273},
        url = {https://doi.org/10.14778/3007263.3007273},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 65 citing papers.

Rank Citing Paper Year Venue Pagerank
9,748 PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development 2018 SIGMOD 5.1349531e-05
9,822 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 5.1254832e-05
9,922 Unified Data Analytics: State-of-the-art and Open Problems 2022 VLDB 5.1103839e-05
10,181 In-Database Data Imputation 2024 SIGMOD 5.0653015e-05
10,653 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 4.9793485e-05
10,898 stratum: A System Infrastructure for Massive Agent-Centric ML Workloads 2026 VLDB 4.9793485e-05
10,945 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.9793485e-05
11,110 LCP: Enhancing Scientific Data Management with Lossy Compression for Particles 2025 SIGMOD 4.9793485e-05
11,676 Templating Shuffles 2023 CIDR 4.9793485e-05
11,846 Redundancy Elimination in Distributed Matrix Computation 2022 SIGMOD 4.9793485e-05
11,848 Juggler: Autonomous Cost Optimization and Performance Prediction of Big Data Applications 2022 SIGMOD 4.9793485e-05
11,976 Hybrid Evaluation for Distributed Iterative Matrix Computation 2021 SIGMOD 4.9793485e-05
11,981 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.9793485e-05
12,013 HyMAC: A Hybrid Matrix Computation System 2021 VLDB 4.9793485e-05
12,091 TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications 2020 SIGMOD 4.9793485e-05
Previous Page 2 / 2 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank Cited Paper Year Venue Pagerank
22 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00055962491
105 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033638251
537 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016768109
654 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.0001510357
1,009 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00012539827
1,081 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012123917
1,444 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.0001063181
2,247 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.7585767e-05
2,723 Exploiting Matrix Dependency for Efficient Distributed Matrix Computation 2015 SIGMOD 8.0944934e-05
2,754 Implicit Parallelism through Deep Language Embedding 2015 SIGMOD 8.0534972e-05
4,116 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.7961306e-05
6,523 REEF: Retainable Evaluator Execution Framework 2015 SIGMOD 5.7568314e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 2,830 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD
2 4,116 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD
3 3,518 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB
4 1,123 Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark 2018 SIGMOD
5 11,707 ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale 2023 SIGMOD
6 2,635 Big Data Analytics with Datalog Queries on Spark 2016 SIGMOD
7 537 MLbase: A Distributed Machine-learning System 2013 CIDR
8 3,101 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB
9 1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR
10 1,081 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB