Optimization for Multi-Join Queries on the GPU
Multi-join queries are important operations in data management systems and data integration systems, and their efficiency has attracted the attention of researchers. In recent years, graphics processing units (GPUs) have developed rapidly and become a powerful tool for parallel computing, providing...
Main Authors: | Xue-Xuan Hu, Jian-Qing Xi, De-You Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9117127/ |
Similar Items
-
Efficiently Estimating Joining Cost of Subqueries in Regular Path Queries
by: Van-Quyet Nguyen, et al.
Published: (2021-04-01) -
Query Join Order Optimization Method Based on Dynamic Double Deep Q-Network
by: Lixia Ji, et al.
Published: (2023-03-01) -
Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies
by: Benoit Gallet, et al.
Published: (2020-10-01) -
RL_QOptimizer: A Reinforcement Learning Based Query Optimizer
by: Mohamed Ramadan, et al.
Published: (2022-01-01) -
Optimization of Analytical Queries in Heterogeneous Systems
by: Petr Kurapov, et al.
Published: (2021-12-01)