| 729 |
Umbra: A Disk-Based System with In-Memory Performance |
2020 |
CIDR |
0.00017448059 |
| 848 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015933538 |
| 959 |
Rethinking SIMD Vectorization for In-Memory Databases |
2015 |
SIGMOD |
0.00015034808 |
| 1,016 |
Memory-Efficient Hash Joins |
2015 |
VLDB |
0.00014630024 |
| 1,104 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.0001398479 |
| 1,260 |
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation |
2016 |
SIGMOD |
0.00012990853 |
| 1,273 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012870386 |
| 1,351 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012439556 |
| 1,397 |
High-Speed Query Processing over High-Speed Networks |
2016 |
VLDB |
0.00012208385 |
| 1,503 |
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications |
2017 |
SIGMOD |
0.0001161148 |
| 1,865 |
Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last |
2018 |
VLDB |
0.00010271333 |
| 2,281 |
Adopting Worst-Case Optimal Joins in Relational Database Systems |
2020 |
VLDB |
9.122455e-05 |
| 2,292 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
9.0884645e-05 |
| 2,383 |
How to Architect a Query Compiler |
2016 |
SIGMOD |
8.9198524e-05 |
| 2,553 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.5522099e-05 |
| 2,659 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3615158e-05 |
| 2,777 |
Quickstep: A Data Platform Based on the Scaling-Up Approach |
2018 |
VLDB |
8.1346418e-05 |
| 2,843 |
How to Architect a Query Compiler, Revisited |
2018 |
SIGMOD |
8.0334687e-05 |
| 2,914 |
Quantifying TPC-H Choke Points and Their Optimizations |
2020 |
VLDB |
7.9197583e-05 |
| 2,962 |
Kuzu* Graph Database Management System |
2023 |
CIDR |
7.8069285e-05 |
| 3,122 |
DB4ML – An In-Memory Database Kernel with Machine Learning Support |
2020 |
SIGMOD |
7.5284233e-05 |
| 3,260 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3091312e-05 |
| 3,307 |
Robust Query Processing in Co-Processor-accelerated Databases |
2016 |
SIGMOD |
7.2391191e-05 |
| 3,328 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2136181e-05 |
| 3,471 |
GPL: A GPU-based Pipelined Query Processing Engine |
2016 |
SIGMOD |
7.0628019e-05 |
| 3,719 |
To Partition, or Not to Partition, That is the Join Question in a Real System |
2021 |
SIGMOD |
6.8141176e-05 |
| 4,160 |
Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? |
2017 |
SIGMOD |
6.3886736e-05 |
| 4,257 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
6.3050642e-05 |
| 4,277 |
Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement |
2015 |
VLDB |
6.2878362e-05 |
| 4,359 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2493951e-05 |
| 4,490 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.137834e-05 |
| 4,498 |
ClickHouse - Lightning Fast Analytics for Everyone |
2024 |
VLDB |
6.1351257e-05 |
| 4,609 |
Deployment of Query Plans on Multicores |
2015 |
VLDB |
6.0458679e-05 |
| 4,666 |
Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing |
2020 |
VLDB |
6.005349e-05 |
| 4,689 |
Scalable Reservoir Sampling on Many-Core CPUs |
2019 |
SIGMOD |
5.9899401e-05 |
| 4,873 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
5.8557568e-05 |
| 4,930 |
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases |
2022 |
VLDB |
5.8171482e-05 |
| 4,952 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.806142e-05 |
| 4,996 |
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources |
2017 |
VLDB |
5.7697228e-05 |
| 5,111 |
Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores |
2017 |
VLDB |
5.6855393e-05 |
| 5,199 |
Data-Parallel Query Processing on Non-Uniform Data |
2020 |
VLDB |
5.6294232e-05 |
| 5,210 |
Self-Tuning Query Scheduling for Analytical Workloads |
2021 |
SIGMOD |
5.6244961e-05 |
| 5,256 |
Redy: Remote Dynamic Memory Cache |
2022 |
VLDB |
5.5990529e-05 |
| 5,357 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.5512343e-05 |
| 5,540 |
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling |
2021 |
VLDB |
5.450319e-05 |
| 5,670 |
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures |
2019 |
SIGMOD |
5.3799054e-05 |
| 5,682 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3752251e-05 |
| 5,734 |
Evolution of a Compiling Query Engine |
2021 |
VLDB |
5.3471832e-05 |
| 5,760 |
MxTasks: How to Make Efficient Synchronization and Prefetching Easy |
2021 |
SIGMOD |
5.3369902e-05 |
| 5,871 |
Taming Subgraph Isomorphism for RDF Query Processing |
2015 |
VLDB |
5.2912806e-05 |