| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-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 |
| 3,920 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6246708e-05 |
| 4,359 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2493951e-05 |
| 4,500 |
GaccO - A GPU-accelerated OLTP DBMS |
2022 |
SIGMOD |
6.1326735e-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 |
| 5,129 |
The Art of Balance: A RateupDBTM Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
5.6724875e-05 |
| 5,199 |
Data-Parallel Query Processing on Non-Uniform Data |
2020 |
VLDB |
5.6294232e-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 |
| 6,367 |
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs |
2021 |
VLDB |
5.0887599e-05 |
| 6,451 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0522576e-05 |
| 6,861 |
HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics |
2023 |
CIDR |
4.9005561e-05 |
| 6,963 |
A Morsel-Driven Query Execution Engine for Heterogeneous Multi-Cores |
2019 |
VLDB |
4.8769125e-05 |
| 7,087 |
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs |
2023 |
SIGMOD |
4.8324242e-05 |
| 7,209 |
GPU-accelerated data management under the test of time |
2020 |
CIDR |
4.7949787e-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 |
| 8,258 |
FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation |
2022 |
SIGMOD |
4.5424271e-05 |
| 8,423 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
4.5112315e-05 |
| 8,615 |
A Case for Graphics-driven Query Processing |
2023 |
VLDB |
4.4803479e-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 |
| 9,331 |
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach |
2023 |
SIGMOD |
4.351469e-05 |
| 9,837 |
Efficiently Joining Large Relations on Multi-GPU Systems |
2025 |
VLDB |
4.269939e-05 |
| 10,121 |
TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,253 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
4.1905499e-05 |
| 10,302 |
RayDB: Building Databases with Ray Tracing Cores |
2026 |
VLDB |
4.1905499e-05 |
| 10,523 |
cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,721 |
Towards Designing Future-Proof Data Processing Systems |
2025 |
VLDB |
4.1905499e-05 |
| 10,755 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
4.1905499e-05 |
| 11,023 |
Accelerating Merkle Patricia Trie with GPU |
2024 |
VLDB |
4.1905499e-05 |