Boosting Performance and QoS for Concurrent GPU B+trees by Combining-Based Synchronization
Author:
Affiliation:
1. School of Computer Science, Fudan University
2. Department of Computer Science, Tulane University
3. Institute of Big Data, Fudan University
Funder
State Key Laboratory of Mathematical Engineering and Advanced Computing
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3572848.3577474
Reference46 articles.
1. Early prediction of quality of service using interface-level metrics, code-level metrics, and antipatterns
2. A Dynamic Hash Table for the GPU
3. Engineering a high-performance GPU B-Tree
4. A Dynamic Elimination-Combining Stack Algorithm
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