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Concurrent Analytical Query Processing with GPUs
Summary: Proposes concurrent GPU query execution to share GPUs among multiple analytic queries, addressing contention via scheduling and device memory swapping policies. Prototype demonstrates up to 55% throughput gains over dedicated single-query processing, mitigating GPU underutilization in data warehousing workloads.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10763
- Venue
- VLDB
- Year
- 2014
- Pagerank
- 9.0106308e-05
- Overall Rank
- 2,336 | 83.77%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 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 |
| 2,753 |
Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores |
2015 |
VLDB |
8.1722714e-05 |
| 3,307 |
Robust Query Processing in Co-Processor-accelerated Databases |
2016 |
SIGMOD |
7.2391191e-05 |
| 3,471 |
GPL: A GPU-based Pipelined Query Processing Engine |
2016 |
SIGMOD |
7.0628019e-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 |
| 5,437 |
RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing |
2023 |
VLDB |
5.5043792e-05 |
| 6,282 |
Mixer: Efficiently Understanding and Retrieving Visual Content at Web-scale |
2021 |
VLDB |
5.1235353e-05 |
| 6,400 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0739311e-05 |
| 6,451 |
Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics |
2025 |
VLDB |
5.0522576e-05 |
| 7,535 |
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent |
2023 |
VLDB |
4.7131061e-05 |
| 9,786 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training |
2025 |
SIGMOD |
4.2799988e-05 |
| 10,121 |
TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,302 |
RayDB: Building Databases with Ray Tracing Cores |
2026 |
VLDB |
4.1905499e-05 |
| 11,129 |
High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now |
2024 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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