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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
- 10788
- Venue
- VLDB
- Year
- 2014
- Pagerank
- 0.00014475229
- Overall Rank
- 1,044 | 92.74%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 25 of 25 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035728858 |
| 667 |
Incremental Knowledge Base Construction Using DeepDive |
2015 |
VLDB |
0.00018440557 |
| 1,532 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011472681 |
| 1,873 |
An Architecture for Compiling UDF-centric Workflows |
2015 |
VLDB |
0.00010253002 |
| 1,942 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
0.00010012691 |
| 2,163 |
Elastic Machine Learning Algorithms in Amazon SageMaker |
2020 |
SIGMOD |
9.3949234e-05 |
| 2,418 |
Tupleware: "Big" Data, Big Analytics, Small Clusters |
2015 |
CIDR |
8.8556595e-05 |
| 3,363 |
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers |
2019 |
VLDB |
7.1731921e-05 |
| 3,808 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
6.7455428e-05 |
| 3,897 |
SLiMFast: Guaranteed Results for Data Fusion and Source Reliability |
2017 |
SIGMOD |
6.6554845e-05 |
| 4,033 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5113267e-05 |
| 4,106 |
Extracting Databases from Dark Data with DeepDive |
2016 |
SIGMOD |
6.4456184e-05 |
| 4,802 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
5.9114415e-05 |
| 4,975 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
5.79026e-05 |
| 5,084 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.7091191e-05 |
| 5,123 |
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning |
2019 |
VLDB |
5.6796998e-05 |
| 5,333 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
5.5656575e-05 |
| 5,806 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3200643e-05 |
| 6,404 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0786954e-05 |
| 6,525 |
Database Technology for the Masses: Sub-Operators as First-Class Entities |
2021 |
VLDB |
5.027205e-05 |
| 6,986 |
A Cost-based Optimizer for Gradient Descent Optimization |
2017 |
SIGMOD |
4.8727048e-05 |
| 8,126 |
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
4.5796615e-05 |
| 8,737 |
Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models |
2025 |
SIGMOD |
4.456315e-05 |
| 9,075 |
ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs |
2021 |
VLDB |
4.4020349e-05 |
| 9,965 |
Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training |
2022 |
VLDB |
4.2269436e-05 |
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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