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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
h602be2d2ed089dad
Venue
SIGMOD
Year
2022
Pagerank
6.9623352e-05
Overall Rank
3,862 | 74.05%
DOI
10.1145/3514221.3517876
Incoming Non-self Citations Over Time
BibTeX Citation
@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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Outgoing Citations (Sorted by Pagerank)
Showing 29 of 29 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
Cited Paper
Year
Venue
Pagerank
55
Calvin: Fast Distributed Transactions for Partitioned Database Systems 2012
SIGMOD
0.00040454492
170
High-Performance Concurrency Control Mechanisms for Main-Memory Databases 2012
VLDB
0.00027054001
237
Serializable Isolation for Snapshot Databases 2008
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0.00023652724
261
Data-Oriented Transaction Execution 2010
VLDB
0.0002286084
444
Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores 2015
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0.0001817002
775
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013
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786
Cicada: Dependably Fast Multi-Core In-Memory Transactions 2017
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Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric 2019
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High Performance Transactions via Early Write Visibility 2017
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Mostly-Optimistic Concurrency Control for Highly Contended Dynamic Workloads on a Thousand Cores 2017
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X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing 2019
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TicToc: Time Traveling Optimistic Concurrency Control 2016
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The End of a Myth: Distributed Transactions Can Scale 2017
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Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering 2019
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Pipelined Query Processing in Coprocessor Environments 2018
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Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020
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2,601
Robust Query Processing in Co-Processor-accelerated Databases 2016
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8.2325291e-05
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High-Throughput Transaction Executions on Graphics Processors 2011
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7.9034864e-05
3,064
Opportunities for Optimism in Contended Main-Memory Multicore Transactions 2020
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7.6883866e-05
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Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013
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Data-Parallel Query Processing on Non-Uniform Data 2020
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4,540
OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013
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6.5501234e-05
4,647
Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021
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6.4850635e-05
5,135
Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014
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OLTPShare: The Case for Sharing in OLTP Workloads 2018
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5.9906809e-05
7,190
GPUQP: Query Co-Processing Using Graphics Processors 2007
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9,788
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