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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
hc98b16f3aea1db73
Venue
VLDB
Year
2014
Pagerank
0.00011729888
Overall Rank
1,167 | 92.16%
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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104 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033690989
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016086569
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
1,444 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.0001063181
1,927 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3607648e-05
2,123 Tupleware: "Big" Data, Big Analytics, Small Clusters 2015 CIDR 9.0060385e-05
2,184 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 8.8958335e-05
3,737 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0628666e-05
3,764 CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers 2019 VLDB 7.0394265e-05
3,791 SLiMFast: Guaranteed Results for Data Fusion and Source Reliability 2017 SIGMOD 7.0189865e-05
3,872 SketchML: Accelerating Distributed Machine Learning with Data Sketches 2018 SIGMOD 6.9540368e-05
4,116 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.7961306e-05
4,393 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.620281e-05
4,879 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 6.3715334e-05
4,963 Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce 2021 SIGMOD 6.3384091e-05
5,723 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB 6.0178515e-05
5,771 Database Technology for the Masses: Sub-Operators as First-Class Entities 2021 VLDB 5.9992698e-05
5,877 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 5.9627218e-05
6,246 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.8370793e-05
6,458 In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle 2022 SIGMOD 5.7773842e-05
7,142 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.600563e-05
8,251 SDP_PIPE: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training 2023 VLDB 5.3687311e-05
9,070 Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models 2025 SIGMOD 5.2283159e-05
9,286 ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs 2021 VLDB 5.2025256e-05
10,341 Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training 2022 VLDB 5.0167904e-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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