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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
6328
Venue
SIGMOD
Year
2022
Pagerank
6.138538e-05
Overall Rank
4,498 | 68.71%
DOI
10.1145/3514221.3517876

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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
122 Calvin: Fast Distributed Transactions for Partitioned Database Systems 2012 SIGMOD 0.00045316749
289 High-Performance Concurrency Control Mechanisms for Main-Memory Databases 2012 VLDB 0.00028938503
338 Data-Oriented Transaction Execution 2010 VLDB 0.00026973858
349 Serializable Isolation for Snapshot Databases 2008 SIGMOD 0.00026440605
635 Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores 2015 VLDB 0.00018879031
1,069 Cicada: Dependably Fast Multi-Core In-Memory Transactions 2017 SIGMOD 0.00014319266
1,240 Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric 2019 SIGMOD 0.00013100297
1,273 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00012912938
1,521 High Performance Transactions via Early Write Visibility 2017 VLDB 0.00011532045
1,692 Mostly-Optimistic Concurrency Control for Highly Contended Dynamic Workloads on a Thousand Cores 2017 VLDB 0.00010901611
1,731 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.0001073454
1,819 The End of a Myth: Distributed Transactions Can Scale 2017 VLDB 0.00010429773
1,845 Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering 2019 VLDB 0.00010338323
1,961 TicToc: Time Traveling Optimistic Concurrency Control 2016 SIGMOD 9.9514005e-05
2,004 X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing 2019 SIGMOD 9.811707e-05
2,287 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 9.0972606e-05
3,103 High-Throughput Transaction Executions on Graphics Processors 2011 VLDB 7.5586143e-05
3,305 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 7.2460965e-05
3,327 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 7.2205738e-05
3,696 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 6.834483e-05
3,788 Opportunities for Optimism in Contended Main-Memory Multicore Transactions 2020 VLDB 6.7656267e-05
4,454 Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads 2018 VLDB 6.1715229e-05
4,678 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.0046271e-05
5,197 Data-Parallel Query Processing on Non-Uniform Data 2020 VLDB 5.6347409e-05
5,578 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 5.4252837e-05
6,060 OLTPShare: The Case for Sharing in OLTP Workloads 2018 VLDB 5.2305257e-05
6,369 Improving Execution Efficiency of Just-in-time Compilation based Query Processing on GPUs 2021 VLDB 5.0936663e-05
7,377 GPUQP: Query Co-Processing Using Graphics Processors 2007 SIGMOD 4.7484565e-05
9,457 Sharing Opportunities for OLTP Workloads in Different Isolation Levels 2020 VLDB 4.3382555e-05
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