| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 241 |
DB2 with BLU Acceleration: So Much More than Just a Column Store |
2013 |
VLDB |
0.00031420034 |
| 305 |
SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units |
2009 |
VLDB |
0.00028248614 |
| 368 |
Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing |
1998 |
VLDB |
0.000254931 |
| 557 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.00020197988 |
| 734 |
The TileDB Array Data Storage Manager |
2017 |
VLDB |
0.00017455248 |
| 834 |
Learning Linear Regression Models over Factorized Joins |
2016 |
SIGMOD |
0.00016135159 |
| 1,134 |
Dictionary-based Order-preserving String Compression for Main Memory Column Stores |
2009 |
SIGMOD |
0.00013761456 |
| 1,167 |
Learning Generalized Linear Models Over Normalized Data |
2015 |
SIGMOD |
0.00013547713 |
| 1,263 |
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation |
2016 |
SIGMOD |
0.00012982857 |
| 1,279 |
Towards Linear Algebra over Normalized Data |
2017 |
VLDB |
0.00012868394 |
| 1,590 |
Column-oriented Database Systems |
2009 |
VLDB |
0.00011233838 |
| 1,611 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011147324 |
| 1,905 |
How to Barter Bits for Chronons: Compression and Bandwidth Trade Offs for Database Scans |
2007 |
SIGMOD |
0.00010138448 |
| 1,967 |
Compressed Linear Algebra for Large-Scale Machine Learning |
2016 |
VLDB |
9.9131712e-05 |
| 2,064 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6418929e-05 |
| 2,134 |
How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations |
2006 |
VLDB |
9.4741038e-05 |
| 2,456 |
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities |
2021 |
SIGMOD |
8.7733773e-05 |
| 2,613 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4503824e-05 |
| 3,277 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
7.2871625e-05 |
| 3,488 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0479329e-05 |
| 3,745 |
DeepSqueeze: Deep Semantic Compression for Tabular Data |
2020 |
SIGMOD |
6.7926132e-05 |
| 3,798 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7592302e-05 |
| 3,808 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
6.7455428e-05 |
| 3,918 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6315176e-05 |
| 4,787 |
The Relational Data Borg is Learning |
2020 |
VLDB |
5.9224501e-05 |
| 4,833 |
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions |
2019 |
SIGMOD |
5.8916346e-05 |
| 5,123 |
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning |
2019 |
VLDB |
5.6796998e-05 |
| 5,806 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3200643e-05 |
| 6,057 |
Progressive Compressed Records: Taking a Byte out of Deep Learning Data |
2021 |
VLDB |
5.2317752e-05 |
| 6,157 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1801143e-05 |
| 6,191 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
5.1642282e-05 |
| 6,538 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent |
2019 |
SIGMOD |
5.023239e-05 |
| 7,335 |
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model |
2020 |
VLDB |
4.7603723e-05 |
| 7,704 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
4.6733838e-05 |
| 8,578 |
Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems |
2022 |
VLDB |
4.4923477e-05 |
| 8,657 |
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices |
2022 |
VLDB |
4.4730648e-05 |
| 9,265 |
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression |
2022 |
VLDB |
4.3667558e-05 |