| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-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 |
| 3,918 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6315176e-05 |
| 4,363 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2552614e-05 |
| 4,498 |
GaccO - A GPU-accelerated OLTP DBMS |
2022 |
SIGMOD |
6.138538e-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 |
| 5,125 |
The Art of Balance: A RateupDBTM Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
5.679423e-05 |
| 5,197 |
Data-Parallel Query Processing on Non-Uniform Data |
2020 |
VLDB |
5.6347409e-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 |
| 6,369 |
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs |
2021 |
VLDB |
5.0936663e-05 |
| 6,453 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0571108e-05 |
| 6,861 |
HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics |
2023 |
CIDR |
4.905263e-05 |
| 6,964 |
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores |
2019 |
VLDB |
4.8815971e-05 |
| 7,091 |
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs |
2023 |
SIGMOD |
4.8370645e-05 |
| 7,209 |
GPU-accelerated data management under the test of time |
2020 |
CIDR |
4.7996023e-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 |
| 8,262 |
FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation |
2022 |
SIGMOD |
4.5467867e-05 |
| 8,432 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
4.5153924e-05 |
| 8,616 |
A Case for Graphics-driven Query Processing |
2023 |
VLDB |
4.4846474e-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 |
| 9,326 |
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach |
2023 |
SIGMOD |
4.3556432e-05 |
| 9,838 |
Efficiently Joining Large Relations on Multi-GPU Systems |
2025 |
VLDB |
4.2740344e-05 |
| 10,121 |
TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,253 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
4.1945683e-05 |
| 10,290 |
RayDB: Building Databases with Ray Tracing Cores |
2026 |
VLDB |
4.1945683e-05 |
| 10,514 |
cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,714 |
Towards Designing Future-Proof Data Processing Systems |
2025 |
VLDB |
4.1945683e-05 |
| 10,749 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1945683e-05 |
| 11,020 |
Accelerating Merkle Patricia Trie with GPU |
2024 |
VLDB |
4.1945683e-05 |