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Compressed Linear Algebra for Large-Scale Machine Learning

Summary: CLA applies database-style compression to matrices and executes matrix-vector products directly on compressed data. Novel column compression, cache-conscious operators, and a sampling-based scheme yield near-uncompressed performance with substantial memory savings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hbb76a95d2a89022f
Venue
VLDB
Year
2016
Pagerank
0.00010054378
Overall Rank
1,615 | 89.18%
DOI
10.14778/2994509.2994510
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{elgohary_vldb16,
        title = {{Compressed Linear Algebra for Large-Scale Machine Learning}},
        author = {Elgohary, Ahmed and Boehm, Matthias and Haas, Peter J. and Reiss, Frederick R. and Reinwald, Berthold},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {12},
        pages = {960--971},
        doi = {10.14778/2994509.2994510},
        url = {https://doi.org/10.14778/2994509.2994510},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
1,200 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00011524945
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
1,699 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.8230859e-05
2,204 Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra 2019 SIGMOD 8.8531297e-05
2,278 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.6993865e-05
2,294 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.67775e-05
2,341 SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging 2021 SIGMOD 8.5984124e-05
3,104 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 7.6281929e-05
3,122 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 7.6091671e-05
3,256 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 7.4732677e-05
3,331 SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning 2017 CIDR 7.4065701e-05
4,117 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.784003e-05
4,329 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 6.64569e-05
4,591 Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture 2019 VLDB 6.5021605e-05
4,891 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 6.3508222e-05
5,505 Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra 2021 SIGMOD 6.0884328e-05
5,885 BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees 2019 SIGMOD 5.9421702e-05
5,945 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.9197358e-05
6,603 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.7204739e-05
6,679 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 5.6956362e-05
7,860 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.422643e-05
8,407 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD 5.3219903e-05
8,499 TreeSensing: Linearly Compressing Sketches with Flexibility 2023 SIGMOD 5.3131213e-05
8,799 Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices 2022 VLDB 5.2604757e-05
9,785 PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development 2018 SIGMOD 5.115551e-05
9,826 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 5.1083104e-05
10,186 QStore: Quantization-Aware Compressed Model Storage 2026 VLDB 5.052396e-05
11,005 OmniTable: A Unified Wide-Table System for Petabyte-Scale LLM Data Curation and Exploration 2026 VLDB 4.9605343e-05
11,015 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.9605343e-05
11,177 HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture 2025 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

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

Rank Cited Paper Year Venue Pagerank
12 C-Store: A Column-oriented DBMS 2005 VLDB 0.00068985264
154 MAD Skills: New Analysis Practices for Big Data 2009 VLDB 0.00028524078
161 DB2 with BLU Acceleration: So Much More than Just a Column Store 2013 VLDB 0.00027629724
296 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00021874894
656 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015052106
711 On Synopses for Distinct-Value Estimation Under Multiset Operations 2007 SIGMOD 0.00014589586
894 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00013179915
912 Dictionary-based Order-preserving String Compression for Main Memory Column Stores 2009 SIGMOD 0.00013092547
1,375 Ricardo: Integrating R and Hadoop 2010 SIGMOD 0.00010861932
1,773 SQL Server Column Store Indexes 2011 SIGMOD 9.6751471e-05
1,777 How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations 2006 VLDB 9.6652791e-05
2,250 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.7477605e-05
2,720 Exploiting Matrix Dependency for Efficient Distributed Matrix Computation 2015 SIGMOD 8.0778267e-05
3,302 Efficient Index Compression in DB2 LUW 2009 VLDB 7.4220659e-05
4,134 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.7721426e-05
5,866 Compression Aware Physical Database Design 2011 VLDB 5.9492579e-05
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