| 132 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.00043697853 |
| 241 |
DB2 with BLU Acceleration: So Much More than Just a Column Store |
2013 |
VLDB |
0.00031314629 |
| 307 |
SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units |
2009 |
VLDB |
0.00028226342 |
| 367 |
Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing |
1998 |
VLDB |
0.00025518228 |
| 557 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.00020186115 |
| 731 |
The TileDB Array Data Storage Manager |
2017 |
VLDB |
0.0001743996 |
| 832 |
Learning Linear Regression Models over Factorized Joins |
2016 |
SIGMOD |
0.00016089705 |
| 1,134 |
Dictionary-based Order-preserving String Compression for Main Memory Column Stores |
2009 |
SIGMOD |
0.00013751593 |
| 1,172 |
Learning Generalized Linear Models Over Normalized Data |
2015 |
SIGMOD |
0.00013504249 |
| 1,260 |
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation |
2016 |
SIGMOD |
0.00012990853 |
| 1,283 |
Towards Linear Algebra over Normalized Data |
2017 |
VLDB |
0.00012826013 |
| 1,590 |
Column-oriented Database Systems |
2009 |
VLDB |
0.00011230525 |
| 1,608 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011169837 |
| 1,908 |
How to Barter Bits for Chronons: Compression and Bandwidth Trade Offs for Database Scans |
2007 |
SIGMOD |
0.00010130401 |
| 1,970 |
Compressed Linear Algebra for Large-Scale Machine Learning |
2016 |
VLDB |
9.9024431e-05 |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 2,137 |
How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations |
2006 |
VLDB |
9.463768e-05 |
| 2,456 |
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities |
2021 |
SIGMOD |
8.7649259e-05 |
| 2,619 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4427442e-05 |
| 3,280 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
7.2813732e-05 |
| 3,482 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0514808e-05 |
| 3,741 |
DeepSqueeze: Deep Semantic Compression for Tabular Data |
2020 |
SIGMOD |
6.7952067e-05 |
| 3,801 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7528979e-05 |
| 3,810 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
6.7375383e-05 |
| 3,920 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6246708e-05 |
| 4,787 |
The Relational Data Borg is Learning |
2020 |
VLDB |
5.9168117e-05 |
| 4,835 |
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions |
2019 |
SIGMOD |
5.8861112e-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 |
| 6,059 |
Progressive Compressed Records: Taking a Byte out of Deep Learning Data |
2021 |
VLDB |
5.2272544e-05 |
| 6,160 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1750659e-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 |
| 7,331 |
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model |
2020 |
VLDB |
4.7558046e-05 |
| 7,702 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
4.6689015e-05 |
| 8,575 |
Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems |
2022 |
VLDB |
4.4880409e-05 |
| 8,655 |
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices |
2022 |
VLDB |
4.4687769e-05 |
| 9,271 |
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression |
2022 |
VLDB |
4.3625977e-05 |