| 350 |
Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs |
2009 |
VLDB |
0.00026368305 |
| 584 |
Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems |
2012 |
VLDB |
0.00019700451 |
| 1,271 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012900735 |
| 1,285 |
Hardware-Oblivious Parallelism for In-Memory Column-Stores |
2013 |
VLDB |
0.00012809552 |
| 1,882 |
Ibex - An Intelligent Storage Engine with Support for Advanced SQL Off-loading |
2014 |
VLDB |
0.00010210181 |
| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-05 |
| 2,072 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6300019e-05 |
| 2,336 |
Concurrent Analytical Query Processing with GPUs |
2014 |
VLDB |
9.0106308e-05 |
| 2,523 |
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture |
2013 |
VLDB |
8.599693e-05 |
| 2,890 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9586083e-05 |
| 3,109 |
High-Throughput Transaction Executions on Graphics Processors |
2011 |
VLDB |
7.5516962e-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 |
| 3,698 |
Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS |
2013 |
VLDB |
6.8278944e-05 |
| 3,760 |
A Hybrid B+-tree as Solution for In-Memory Indexing on CPU-GPU Heterogeneous Computing Platforms |
2016 |
SIGMOD |
6.7790524e-05 |
| 3,899 |
Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment |
2021 |
VLDB |
6.6513982e-05 |
| 3,994 |
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach |
2015 |
VLDB |
6.5476357e-05 |
| 4,000 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
6.5419402e-05 |
| 4,089 |
In-Cache Query Co-Processing on Coupled CPU-GPU Architectures |
2015 |
VLDB |
6.4559891e-05 |
| 4,996 |
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources |
2017 |
VLDB |
5.7697228e-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 |
| 5,251 |
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects |
2022 |
SIGMOD |
5.6003972e-05 |
| 5,526 |
GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons |
2018 |
VLDB |
5.4585713e-05 |
| 5,826 |
Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration |
2016 |
SIGMOD |
5.3116062e-05 |
| 6,220 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1446966e-05 |
| 7,375 |
GPUQP: Query Co-Processing Using Graphics Processors |
2007 |
SIGMOD |
4.7439007e-05 |
| 7,752 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6558737e-05 |
| 7,878 |
Thread Cooperation in Multicore Architectures for Frequency Counting over Multiple Data Streams |
2009 |
VLDB |
4.6257581e-05 |
| 8,098 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5824106e-05 |
| 8,352 |
Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems |
2012 |
VLDB |
4.5333481e-05 |
| 8,411 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
4.5151296e-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 |
| 9,620 |
Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading |
2023 |
VLDB |
4.3128484e-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 |
| 9,924 |
GPH: An Efficient and Effective Perfect Hashing Scheme for GPU Architectures |
2025 |
SIGMOD |
4.2503199e-05 |
| 10,253 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
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 |
| 11,360 |
Scaling Equi-Joins |
2022 |
SIGMOD |
4.1905499e-05 |
| 11,972 |
Work-Efficient Parallel Skyline Computation for the GPU |
2015 |
VLDB |
4.1905499e-05 |
| 12,059 |
WoW: What the World of (Data) Warehousing Can Learn from the World of Warcraft |
2013 |
SIGMOD |
4.1905499e-05 |