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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
11384
Venue
VLDB
Year
2016
Pagerank
9.9024431e-05
Overall Rank
1,970 | 86.31%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 30 of 30 citing papers.

Rank Citing Paper Year Venue Pagerank
1,283 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012826013
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
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
2,157 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 9.4153917e-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
2,795 Towards Demystifying Serverless Machine Learning Training 2021 SIGMOD 8.1135606e-05
3,328 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 7.2136181e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
4,200 Incremental View Maintenance with Triple Lock Factorization Benefits 2018 SIGMOD 6.3618329e-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
4,603 Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture 2019 VLDB 6.0515823e-05
4,835 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 5.8861112e-05
4,962 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.7979872e-05
5,124 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 5.6747536e-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
6,535 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.0184189e-05
7,702 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 4.6689015e-05
8,515 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 4.4901466e-05
8,655 Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices 2022 VLDB 4.4687769e-05
8,782 AWARE: Workload-aware, Redundancy-exploiting Linear Algebra 2023 SIGMOD 4.4478585e-05
9,041 TreeSensing: Linearly Compressing Sketches with Flexibility 2023 SIGMOD 4.3997447e-05
9,337 PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development 2018 SIGMOD 4.351469e-05
9,442 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 4.3384032e-05
10,298 QStore: Quantization-Aware Compressed Model Storage 2026 VLDB 4.1905499e-05
10,303 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.1905499e-05
10,390 HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture 2025 SIGMOD 4.1905499e-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.

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