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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
11439
Venue
VLDB
Year
2016
Pagerank
0.0001888524
Overall Rank
415 | 97.16%
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 50 of 64 citing papers.

Rank Citing Paper Year Venue Pagerank
1,235 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011548457
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,488 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.00010612416
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
1,937 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.4524758e-05
2,029 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.2843642e-05
2,179 Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra 2019 SIGMOD 9.0146333e-05
2,239 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.8875753e-05
2,273 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 8.8230899e-05
2,293 Extending Relational Query Processing with ML Inference 2020 CIDR 8.7949378e-05
2,522 Fractal: A General-Purpose Graph Pattern Mining System 2019 SIGMOD 8.4713567e-05
2,584 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3783546e-05
2,769 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 8.1465406e-05
2,786 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 8.1207221e-05
2,823 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.0893814e-05
2,865 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.0180243e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
3,205 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 7.6386536e-05
3,284 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.5663058e-05
3,351 RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - 2018 VLDB 7.4937347e-05
3,459 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.3953716e-05
3,681 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.2037388e-05
4,067 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.9293511e-05
4,240 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.809685e-05
4,409 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 6.7178579e-05
4,592 Data Platform for Machine Learning 2019 SIGMOD 6.6139071e-05
4,599 Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications 2018 SIGMOD 6.6122875e-05
5,345 PS2: Parameter Server on Spark 2019 SIGMOD 6.2586047e-05
5,456 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 6.2131252e-05
5,785 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 6.0892672e-05
5,876 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 6.0557672e-05
6,046 Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra 2021 SIGMOD 5.9956597e-05
6,538 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.8477764e-05
6,585 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 5.8350362e-05
6,632 DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs 2019 SIGMOD 5.8190054e-05
6,708 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 5.7964983e-05
7,000 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.7287645e-05
7,112 Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning 2023 VLDB 5.6990782e-05
7,311 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 5.6491618e-05
7,473 The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development 2020 SIGMOD 5.609366e-05
8,208 M2Bench: A Database Benchmark for Multi-Model Analytic Workloads 2023 VLDB 5.4665936e-05
8,350 FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation 2022 SIGMOD 5.4460082e-05
8,513 Galley: Modern Query Optimization for Sparse Tensor Programs 2025 SIGMOD 5.4119882e-05
8,606 PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement 2024 SIGMOD 5.4026249e-05
8,794 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD 5.370464e-05
8,908 Privacy and Accuracy-Aware AI/ML Model Deduplication 2025 SIGMOD 5.3483178e-05
8,958 The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – 2021 SIGMOD 5.3449654e-05
8,999 HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries 2021 SIGMOD 5.3354529e-05
9,076 Leveraging Similarity Joins for Signal Reconstruction 2018 VLDB 5.3251649e-05
9,371 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 5.275595e-05
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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
20 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.00056944564
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
993 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00012789598
1,079 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012258469
1,442 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010778486
2,217 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.9332438e-05
2,681 Exploiting Matrix Dependency for Efficient Distributed Matrix Computation 2015 SIGMOD 8.2632778e-05
2,717 Implicit Parallelism through Deep Language Embedding 2015 SIGMOD 8.2102313e-05
4,049 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.9369379e-05
6,430 REEF: Retainable Evaluator Execution Framework 2015 SIGMOD 5.880521e-05
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