English

State-of-the-Art on Query & Transaction Processing Acceleration

Distributed, Parallel, and Cluster Computing 2019-07-02 v1 Databases Performance

Abstract

The vast amount of processing power and memory bandwidth provided by modern Graphics Processing Units (GPUs) make them a platform for data-intensive applications. The database community identified GPUs as effective co-processors for data processing. In the past years, there were many approaches to make use of GPUs at different levels of a database system. In this Internal Technical Report, based on the [1] and some other research papers, we identify possible research areas at LIP6 for GPU-accelerated database management systems. We describe some key properties, typical challenges of GPU-aware database architectures, and identify major open challenges.

Keywords

Cite

@article{arxiv.1907.00050,
  title  = {State-of-the-Art on Query & Transaction Processing Acceleration},
  author = {Bernd Amann and Youry Khmelevsky and Gaetan Hains},
  journal= {arXiv preprint arXiv:1907.00050},
  year   = {2019}
}

Comments

7 pages, 4 tables

R2 v1 2026-06-23T10:07:11.584Z