DBScholar

Back to papers

Themis: A GPU-accelerated Relational Query Execution Engine

Summary: Themis is a GPU relational engine addressing intra- and inter-warp imbalance from skewed, varying-cardinality pipelines. It redistributes tuples within and across warps using adaptive workload estimates, achieving up to 379× gains on skewed TPC-H. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hc27442970ea8d016
Venue
VLDB
Year
2025
Pagerank
5.1837077e-05
Overall Rank
9,401 | 36.82%
DOI
10.14778/3705829.3705856
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{hong_vldb25,
        title = {{Themis: A GPU-accelerated Relational Query Execution Engine}},
        author = {Hong, Kijae and Kim, Kyoungmin and Lee, Young-Koo and Moon, Yang-Sae and Bhowmick, Sourav S and Han, Wook-Shin},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {2},
        pages = {426--438},
        doi = {10.14778/3705829.3705856},
        url = {https://doi.org/10.14778/3705829.3705856},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,991 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.9219616e-05
9,870 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.115241e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024589307
616 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015554627
1,269 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.00011254742
1,473 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010552993
1,534 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010327147
1,605 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010095581
1,748 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7289385e-05
2,468 GPU-Accelerated Subgraph Enumeration on Partitioned Graphs 2020 SIGMOD 8.4138334e-05
2,816 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9740083e-05
3,655 Realtime Top-k Personalized PageRank over Large Graphs on GPUs 2020 VLDB 7.1254436e-05
3,962 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 6.8916038e-05
4,484 GPU Database Systems Characterization and Optimization 2024 VLDB 6.5776765e-05
4,647 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 6.4850635e-05
8,860 SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms 2023 VLDB 5.2620362e-05
8,861 Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization 2022 CIDR 5.2619979e-05
9,846 Cost-efficiency and Performance Robustness in Serverless Data Exchange 2022 SIGMOD 5.1209832e-05
Previous Page 1 / 1 Next

Semantically Similar Papers