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DimmWitted: A Study of Main-Memory Statistical Analytics

Summary: Study of main-memory statistical analytics on NUMA; compares row- vs column-order access and data/model sharing granularity. Uncovers hardware-statistical efficiency tradeoffs; prototype runs popular tasks (SVM, LR, Gibbs, NN) up to 100x faster across five architectures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10976
Venue
VLDB
Year
2014
Pagerank
0.00011943462
Overall Rank
1,150 | 92.12%
DOI
10.14778/2732977.2732988

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb14,
        title = {{DimmWitted: A Study of Main-Memory Statistical Analytics}},
        author = {Zhang, Ce and Ré, Christopher},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {12},
        pages = {1283--1294},
        doi = {10.14778/2732977.2732988},
        url = {https://doi.org/10.14778/2732977.2732988},
        year = {2014}
}

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112 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00032801121
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016217563
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,442 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010778486
1,937 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.4524758e-05
2,094 Tupleware: "Big" Data, Big Analytics, Small Clusters 2015 CIDR 9.1819738e-05
2,162 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 9.0581831e-05
3,682 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.2035518e-05
3,715 SLiMFast: Guaranteed Results for Data Fusion and Source Reliability 2017 SIGMOD 7.1763559e-05
3,782 CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers 2019 VLDB 7.1298979e-05
4,049 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.9369379e-05
4,083 SketchML: Accelerating Distributed Machine Learning with Data Sketches 2018 SIGMOD 6.9160949e-05
4,410 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.717496e-05
4,798 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 6.5024772e-05
4,956 Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce 2021 SIGMOD 6.4290135e-05
5,589 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB 6.1559057e-05
5,785 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 6.0892672e-05
6,143 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.9622615e-05
6,263 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.936052e-05
6,339 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.907165e-05
7,000 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.7287645e-05
8,101 SDP_PIPE: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training 2023 VLDB 5.4870581e-05
8,907 Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models 2025 SIGMOD 5.3483178e-05
9,214 ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs 2021 VLDB 5.3058522e-05
10,113 Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training 2022 VLDB 5.1319012e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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