| 735 |
Umbra: A Disk-Based System with In-Memory Performance |
2020 |
CIDR |
0.00017452467 |
| 853 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015940507 |
| 958 |
Rethinking SIMD Vectorization for In-Memory Databases |
2015 |
SIGMOD |
0.00015045316 |
| 1,016 |
Memory-Efficient Hash Joins |
2015 |
VLDB |
0.00014638492 |
| 1,105 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00013990395 |
| 1,263 |
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation |
2016 |
SIGMOD |
0.00012982857 |
| 1,284 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012837822 |
| 1,361 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012379741 |
| 1,409 |
High-Speed Query Processing over High-Speed Networks |
2016 |
VLDB |
0.00012132768 |
| 1,507 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.00011617967 |
| 1,864 |
Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last |
2018 |
VLDB |
0.00010280966 |
| 2,275 |
Adopting Worst-Case Optimal Joins in Relational Database Systems |
2020 |
VLDB |
9.1262202e-05 |
| 2,287 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0972606e-05 |
| 2,383 |
How to Architect a Query Compiler |
2016 |
SIGMOD |
8.9294108e-05 |
| 2,568 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.5239227e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 2,772 |
Quickstep: A Data Platform Based on the Scaling-Up Approach |
2018 |
VLDB |
8.1401661e-05 |
| 2,838 |
How to Architect a Query Compiler, Revisited |
2018 |
SIGMOD |
8.0408472e-05 |
| 2,916 |
Quantifying TPC-H Choke Points and Their Optimizations |
2020 |
VLDB |
7.9068048e-05 |
| 2,962 |
Kuzu* Graph Database Management System |
2023 |
CIDR |
7.8101752e-05 |
| 3,099 |
DB4ML – An In-Memory Database Kernel with Machine Learning Support |
2020 |
SIGMOD |
7.5642871e-05 |
| 3,254 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3161051e-05 |
| 3,305 |
Robust Query Processing in Co-Processor-accelerated Databases |
2016 |
SIGMOD |
7.2460965e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 3,465 |
GPL: A GPU-based Pipelined Query Processing Engine |
2016 |
SIGMOD |
7.0695873e-05 |
| 3,721 |
To Partition, or Not to Partition, That is the Join Question in a Real System |
2021 |
SIGMOD |
6.8179379e-05 |
| 4,161 |
Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? |
2017 |
SIGMOD |
6.3938006e-05 |
| 4,262 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
6.3117226e-05 |
| 4,282 |
Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement |
2015 |
VLDB |
6.293052e-05 |
| 4,363 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2552614e-05 |
| 4,488 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.145117e-05 |
| 4,495 |
ClickHouse - Lightning Fast Analytics for Everyone |
2024 |
VLDB |
6.1410277e-05 |
| 4,610 |
Deployment of Query Plans on Multicores |
2015 |
VLDB |
6.0516573e-05 |
| 4,688 |
Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing |
2020 |
VLDB |
5.9980609e-05 |
| 4,694 |
Scalable Reservoir Sampling on Many-Core CPUs |
2019 |
SIGMOD |
5.9944898e-05 |
| 4,870 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
5.8613885e-05 |
| 4,924 |
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases |
2022 |
VLDB |
5.822682e-05 |
| 4,948 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.8116879e-05 |
| 4,999 |
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources |
2017 |
VLDB |
5.7752801e-05 |
| 5,109 |
Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores |
2017 |
VLDB |
5.6908086e-05 |
| 5,193 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.6371049e-05 |
| 5,197 |
Data-Parallel Query Processing on Non-Uniform Data |
2020 |
VLDB |
5.6347409e-05 |
| 5,212 |
Self-Tuning Query Scheduling for Analytical Workloads |
2021 |
SIGMOD |
5.6262923e-05 |
| 5,530 |
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling |
2021 |
VLDB |
5.4554282e-05 |
| 5,657 |
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures |
2019 |
SIGMOD |
5.3864606e-05 |
| 5,671 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3803919e-05 |
| 5,723 |
Evolution of a Compiling Query Engine |
2021 |
VLDB |
5.3522361e-05 |
| 5,748 |
MxTasks: How to Make Efficient Synchronization and Prefetching Easy |
2021 |
SIGMOD |
5.341943e-05 |
| 5,864 |
Redy: Remote Dynamic Memory Cache |
2022 |
VLDB |
5.2975079e-05 |
| 5,877 |
Taming Subgraph Isomorphism for RDF Query Processing |
2015 |
VLDB |
5.2916612e-05 |