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)
Incoming Non-self Citations Over Time
Authors
- 1. Nils Boeschen
- 2. Carsten Binnig
Incoming Citations (Sorted by Pagerank)
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Showing 29 of 29 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,085 | In-Cache Query Co-Processing on Coupled CPU-GPU Architectures | 2015 | VLDB | 6.4620277e-05 |
| 7,697 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database | 2023 | SIGMOD | 4.6753193e-05 |
| 3,465 | GPL: A GPU-based Pipelined Query Processing Engine | 2016 | SIGMOD | 7.0695873e-05 |
| 2,330 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB | 9.0192228e-05 |
| 10,749 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 4.1945683e-05 |
| 7,377 | GPUQP: Query Co-Processing Using Graphics Processors | 2007 | SIGMOD | 4.7484565e-05 |
| 2,067 | HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics | 2016 | VLDB | 9.6392739e-05 |
| 6,496 | GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP | 2024 | SIGMOD | 5.0413077e-05 |
| 3,305 | Robust Query Processing in Co-Processor-accelerated Databases | 2016 | SIGMOD | 7.2460965e-05 |
| 3,103 | High-Throughput Transaction Executions on Graphics Processors | 2011 | VLDB | 7.5586143e-05 |