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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
11252
Venue
VLDB
Year
2016
Pagerank
0.00020186115
Overall Rank
557 | 96.14%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 50 of 64 citing papers.

Rank Citing Paper Year Venue Pagerank
1,283 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012826013
1,393 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 0.00012223372
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
1,891 Towards Model-based Pricing for Machine Learning in a Data Marketplace 2019 SIGMOD 0.0001018452
1,942 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 0.00010010569
2,122 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.4905306e-05
2,164 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3953268e-05
2,197 Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra 2019 SIGMOD 9.3117431e-05
2,355 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9727612e-05
2,759 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.1646193e-05
2,809 Extending Relational Query Processing with ML Inference 2020 CIDR 8.0869552e-05
3,122 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.5284233e-05
3,135 Fractal: A General-Purpose Graph Pattern Mining System 2019 SIGMOD 7.4928743e-05
3,260 Query Processing on Tensor Computation Runtimes 2022 VLDB 7.3091312e-05
3,270 RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - 2018 VLDB 7.3013196e-05
3,280 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 7.2813732e-05
3,409 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 7.1240791e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
3,953 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 6.5896733e-05
4,006 Data Platform for Machine Learning 2019 SIGMOD 6.5371762e-05
4,123 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 6.4290005e-05
4,508 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 6.1261819e-05
4,601 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.05274e-05
4,676 Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications 2018 SIGMOD 5.9992323e-05
4,779 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9259373e-05
4,835 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 5.8861112e-05
4,972 PS2: Parameter Server on Spark 2019 SIGMOD 5.7894524e-05
5,730 BAGUA: Scaling up Distributed Learning with System Relaxations 2022 VLDB 5.3476346e-05
5,817 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 5.3154329e-05
6,194 Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra 2021 SIGMOD 5.1592984e-05
6,747 DistME: A Fast and Elastic Distributed Matrix Computation Engine using GPUs 2019 SIGMOD 4.9369478e-05
6,790 InferDB: In-Database Machine Learning Inference Using Indexes 2024 VLDB 4.9205968e-05
6,984 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 4.8680519e-05
7,055 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 4.8428976e-05
7,180 Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning 2023 VLDB 4.8032775e-05
7,309 The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development 2020 SIGMOD 4.7611148e-05
7,459 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 4.7199075e-05
7,892 M2Bench: A Database Benchmark for Multi-Model Analytic Workloads 2023 VLDB 4.6200834e-05
7,920 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 4.6120304e-05
8,258 FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation 2022 SIGMOD 4.5424271e-05
8,274 Galley: Modern Query Optimization for Sparse Tensor Programs 2025 SIGMOD 4.5392079e-05
8,515 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 4.4901466e-05
8,617 PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement 2024 SIGMOD 4.479438e-05
8,782 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD 4.4478585e-05
8,924 Leveraging Similarity Joins for Signal Reconstruction 2018 VLDB 4.4229886e-05
8,981 HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries 2021 SIGMOD 4.4138435e-05
9,008 The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – 2021 SIGMOD 4.4065351e-05
9,225 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 4.3656789e-05
9,337 PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development 2018 SIGMOD 4.351469e-05
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Outgoing Citations (Sorted by Pagerank)

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