| 351 |
Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs |
2009 |
VLDB |
0.0002636504 |
| 585 |
Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems |
2012 |
VLDB |
0.00019706145 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 1,287 |
Hardware-Oblivious Parallelism for In-Memory Column-Stores |
2013 |
VLDB |
0.00012820443 |
| 1,881 |
Ibex - An Intelligent Storage Engine with Support for Advanced SQL Off-loading |
2014 |
VLDB |
0.00010217568 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,067 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
9.6392739e-05 |
| 2,330 |
Concurrent Analytical Query Processing with GPUs |
2014 |
VLDB |
9.0192228e-05 |
| 2,519 |
Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture |
2013 |
VLDB |
8.6078505e-05 |
| 2,882 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9661218e-05 |
| 3,103 |
High-Throughput Transaction Executions on Graphics Processors |
2011 |
VLDB |
7.5586143e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 3,465 |
GPL: A GPU-based Pipelined Query Processing Engine |
2016 |
SIGMOD |
7.0695873e-05 |
| 3,696 |
Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS |
2013 |
VLDB |
6.834483e-05 |
| 3,777 |
A Hybrid B+-tree as Solution for In-Memory Indexing on CPU-GPU Heterogeneous Computing Platforms |
2016 |
SIGMOD |
6.7750901e-05 |
| 3,898 |
Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment |
2021 |
VLDB |
6.6551268e-05 |
| 3,993 |
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach |
2015 |
VLDB |
6.5534805e-05 |
| 4,002 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
6.545665e-05 |
| 4,085 |
In-Cache Query Co-Processing on Coupled CPU-GPU Architectures |
2015 |
VLDB |
6.4620277e-05 |
| 4,999 |
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources |
2017 |
VLDB |
5.7752801e-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 |
| 5,247 |
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects |
2022 |
SIGMOD |
5.6057839e-05 |
| 5,514 |
GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons |
2018 |
VLDB |
5.4638186e-05 |
| 5,814 |
Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration |
2016 |
SIGMOD |
5.3167137e-05 |
| 6,223 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
5.1496398e-05 |
| 7,377 |
GPUQP: Query Co-Processing Using Graphics Processors |
2007 |
SIGMOD |
4.7484565e-05 |
| 7,751 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
4.6603427e-05 |
| 7,880 |
Thread Cooperation in Multicore Architectures for Frequency Counting over Multiple Data Streams |
2009 |
VLDB |
4.6291185e-05 |
| 8,094 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5867812e-05 |
| 8,356 |
Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems |
2012 |
VLDB |
4.5377018e-05 |
| 8,417 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
4.5194164e-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 |
| 9,620 |
Deploying Computational Storage for HTAP DBMSs Takes More Than Just Computation Offloading |
2023 |
VLDB |
4.3169852e-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 |
| 9,925 |
GPH: An Efficient and Effective Perfect Hashing Scheme for GPU Architectures |
2025 |
SIGMOD |
4.2543961e-05 |
| 10,253 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
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 |
| 11,358 |
Scaling Equi-Joins |
2022 |
SIGMOD |
4.1945683e-05 |
| 11,964 |
Work-Efficient Parallel Skyline Computation for the GPU |
2015 |
VLDB |
4.1945683e-05 |
| 12,051 |
WoW: What the World of (Data) Warehousing Can Learn from the World of Warcraft |
2013 |
SIGMOD |
4.1945683e-05 |