| 1,268 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
0.0001126007 |
| 1,533 |
Pipelined Query Processing in Coprocessor Environments |
2018 |
SIGMOD |
0.00010332035 |
| 1,541 |
HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics |
2016 |
VLDB |
0.00010313459 |
| 1,747 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
9.7335416e-05 |
| 2,202 |
Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores |
2015 |
VLDB |
8.8719608e-05 |
| 2,284 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
8.6954168e-05 |
| 2,460 |
Query Processing on Tensor Computation Runtimes |
2022 |
VLDB |
8.4348335e-05 |
| 2,466 |
Concurrent Analytical Query Processing with GPUs |
2014 |
VLDB |
8.4222621e-05 |
| 2,600 |
Robust Query Processing in Co-Processor-accelerated Databases |
2016 |
SIGMOD |
8.2363864e-05 |
| 2,815 |
GPL: A GPU-based Pipelined Query Processing Engine |
2016 |
SIGMOD |
7.9777435e-05 |
| 2,886 |
Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment |
2021 |
VLDB |
7.9081605e-05 |
| 3,053 |
MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures |
2021 |
SIGMOD |
7.7019663e-05 |
| 3,106 |
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures |
2016 |
SIGMOD |
7.6428848e-05 |
| 3,491 |
In-Cache Query Co-Processing on Coupled CPU-GPU Architectures |
2015 |
VLDB |
7.2619913e-05 |
| 3,626 |
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects |
2022 |
SIGMOD |
7.1524537e-05 |
| 3,655 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
7.1260841e-05 |
| 3,773 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
7.0294475e-05 |
| 3,861 |
GaccO - A GPU-accelerated OLTP DBMS |
2022 |
SIGMOD |
6.9656048e-05 |
| 3,888 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
6.945725e-05 |
| 3,935 |
The Case For Heterogeneous HTAP |
2017 |
CIDR |
6.9166006e-05 |
| 3,961 |
Data-Parallel Query Processing on Non-Uniform Data |
2020 |
VLDB |
6.8948667e-05 |
| 3,972 |
TCUDB: Accelerating Database with Tensor Processors |
2022 |
SIGMOD |
6.8881464e-05 |
| 4,137 |
The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
6.7861661e-05 |
| 4,199 |
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources |
2017 |
VLDB |
6.7410637e-05 |
| 4,480 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
6.5807917e-05 |
| 4,645 |
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs |
2021 |
VLDB |
6.4881339e-05 |
| 4,943 |
CXL and the Return of Scale-Up Database Engines |
2024 |
VLDB |
6.3442191e-05 |
| 4,989 |
GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP |
2024 |
SIGMOD |
6.3247654e-05 |
| 5,132 |
Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware |
2014 |
VLDB |
6.2597754e-05 |
| 5,371 |
Distributed GPU Joins on Fast RDMA-capable Networks |
2023 |
SIGMOD |
6.1584802e-05 |
| 5,541 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
6.0902254e-05 |
| 5,615 |
BOSS - An Architecture for Database Kernel Composition |
2024 |
VLDB |
6.0652416e-05 |
| 5,991 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
5.9247663e-05 |
| 6,009 |
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale |
2021 |
VLDB |
5.9148049e-05 |
| 6,151 |
Efficiently Processing Joins and Grouped Aggregations on GPUs |
2025 |
SIGMOD |
5.8697699e-05 |
| 6,489 |
HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics |
2023 |
CIDR |
5.7676507e-05 |
| 6,516 |
GPU-accelerated data management under the test of time |
2020 |
CIDR |
5.7588588e-05 |
| 6,587 |
Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems |
2025 |
SIGMOD |
5.7429023e-05 |
| 6,667 |
Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs |
2025 |
VLDB |
5.7152948e-05 |
| 7,066 |
Efficient Top-K Query Processing on Massively Parallel Hardware |
2018 |
SIGMOD |
5.6087334e-05 |
| 7,321 |
An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA |
2024 |
VLDB |
5.5534395e-05 |
| 8,236 |
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs |
2024 |
VLDB |
5.3710413e-05 |
| 8,274 |
Scaling GPU-Accelerated Databases beyond GPU Memory Size |
2025 |
VLDB |
5.3642256e-05 |
| 9,355 |
Evaluating Memory-Hard Proof-of-Work Algorithms on Three Processors |
2020 |
VLDB |
5.1875024e-05 |
| 9,429 |
Efficiently Joining Large Relations on Multi-GPU Systems |
2025 |
VLDB |
5.1786456e-05 |
| 9,863 |
GPU Acceleration of SQL Analytics on Compressed Data |
2026 |
VLDB |
5.1176637e-05 |
| 10,473 |
L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,601 |
TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,723 |
Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization |
2026 |
VLDB |
4.9793485e-05 |
| 10,785 |
MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures |
2026 |
VLDB |
4.9793485e-05 |