| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039180521 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 1,284 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012837822 |
| 1,409 |
High-Speed Query Processing over High-Speed Networks |
2016 |
VLDB |
0.00012132768 |
| 1,543 |
NUMA-aware algorithms: the case of data shuffling |
2013 |
CIDR |
0.0001145318 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,062 |
Dremel: A Decade of Interactive SQL Analysis at Web Scale |
2020 |
VLDB |
9.6481955e-05 |
| 2,473 |
Photon: A Fast Query Engine for Lakehouse Systems |
2022 |
SIGMOD |
8.7237281e-05 |
| 2,545 |
POLARIS: The Distributed SQL Engine in Azure Synapse |
2020 |
VLDB |
8.5725413e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 3,254 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
7.3161051e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 4,002 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
6.545665e-05 |
| 4,701 |
Tensors: An abstraction for general data processing |
2021 |
VLDB |
5.9866564e-05 |
| 4,948 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.8116879e-05 |
| 5,019 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7559197e-05 |
| 5,040 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7425187e-05 |
| 5,088 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
5.7072189e-05 |
| 5,247 |
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects |
2022 |
SIGMOD |
5.6057839e-05 |
| 6,066 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2290447e-05 |
| 6,223 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1496398e-05 |
| 6,327 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.1083405e-05 |
| 6,453 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0571108e-05 |
| 6,496 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
5.0413077e-05 |
| 7,155 |
Evaluating Multi-GPU Sorting with Modern Interconnects |
2022 |
SIGMOD |
4.8149812e-05 |
| 7,205 |
Unified Query Optimization in the Fabric Data Warehouse |
2024 |
SIGMOD |
4.8014977e-05 |
| 7,328 |
BOSS - An Architecture for Database Kernel Composition |
2024 |
VLDB |
4.7610909e-05 |
| 7,568 |
Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs |
2025 |
VLDB |
4.7084322e-05 |
| 7,751 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6603427e-05 |
| 8,094 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5867812e-05 |
| 8,118 |
Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems |
2025 |
SIGMOD |
4.5814829e-05 |
| 8,846 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
4.4372012e-05 |
| 9,204 |
Themis: A GPU-accelerated Relational Query Execution Engine |
2025 |
VLDB |
4.3737475e-05 |
| 9,695 |
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem |
2022 |
VLDB |
4.3025567e-05 |
| 9,837 |
GpJSON: High-performance JSON Data Processing on GPUs |
2025 |
VLDB |
4.2740344e-05 |
| 9,838 |
Efficiently Joining Large Relations on Multi-GPU Systems |
2025 |
VLDB |
4.2740344e-05 |
| 10,281 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
4.1945683e-05 |
| 10,749 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1945683e-05 |