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GaccO - A GPU-accelerated OLTP DBMS
Summary: GaccO is a main-memory OLTP DBMS with a CPU-GPU co-execution model that splits OLTP workloads across devices. It batches transactions by type to exploit vectorized GPU execution and uses CPU memory to scale beyond GPU memory, delivering up to 6x speedups on TPC-C.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
6390
Venue
SIGMOD
Year
2022
Pagerank
7.0435206e-05
Overall Rank
3,890 | 73.32%
DOI
10.1145/3514221.3517876
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{boeschen_sigmod22,
title = {{GaccO - A GPU-accelerated OLTP DBMS}},
author = {Boeschen, Nils and Binnig, Carsten},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517876},
url = {https://dl.acm.org/doi/10.1145/3514221.3517876},
year = {2022}
}
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