| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039408116 |
| 1,271 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012900735 |
| 1,273 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012870386 |
| 1,397 |
High-Speed Query Processing over High-Speed Networks |
2016 |
VLDB |
0.00012208385 |
| 1,540 |
NUMA-aware algorithms: the case of data shuffling |
2013 |
CIDR |
0.00011451745 |
| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-05 |
| 2,060 |
Dremel: A Decade of Interactive SQL Analysis at Web Scale |
2020 |
VLDB |
9.6585115e-05 |
| 2,472 |
Photon: A Fast Query Engine for Lakehouse Systems |
2022 |
SIGMOD |
8.7156826e-05 |
| 2,542 |
POLARIS: The Distributed SQL Engine in Azure Synapse |
2020 |
VLDB |
8.5681631e-05 |
| 2,659 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3615158e-05 |
| 3,260 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3091312e-05 |
| 3,328 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2136181e-05 |
| 4,000 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
6.5419402e-05 |
| 4,700 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
5.9810592e-05 |
| 4,952 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.806142e-05 |
| 5,018 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7503878e-05 |
| 5,039 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7369993e-05 |
| 5,089 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
5.7017353e-05 |
| 5,251 |
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects |
2022 |
SIGMOD |
5.6003972e-05 |
| 6,068 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2240241e-05 |
| 6,220 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1446966e-05 |
| 6,327 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.1035567e-05 |
| 6,451 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0522576e-05 |
| 6,492 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
5.0364695e-05 |
| 7,155 |
Evaluating Multi-GPU Sorting with Modern Interconnects |
2022 |
SIGMOD |
4.810361e-05 |
| 7,203 |
Unified Query Optimization in the Fabric Data Warehouse |
2024 |
SIGMOD |
4.7968914e-05 |
| 7,324 |
BOSS - An Architecture for Database Kernel Composition |
2024 |
VLDB |
4.7565238e-05 |
| 7,570 |
Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs |
2025 |
VLDB |
4.7039167e-05 |
| 7,752 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6558737e-05 |
| 8,098 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5824106e-05 |
| 8,123 |
Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems |
2025 |
SIGMOD |
4.5770901e-05 |
| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
4.432948e-05 |
| 9,206 |
Themis: A GPU-accelerated Relational Query Execution Engine |
2025 |
VLDB |
4.3695556e-05 |
| 9,694 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
4.2984337e-05 |
| 9,836 |
GpJSON: High-performance JSON Data Processing on GPUs |
2025 |
VLDB |
4.269939e-05 |
| 9,837 |
Efficiently Joining Large Relations on Multi-GPU Systems |
2025 |
VLDB |
4.269939e-05 |
| 10,293 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
4.1905499e-05 |
| 10,755 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1905499e-05 |