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

Bernd Amann (1) , Youry Khmelevsky (2) , Gaétan Hains (3)

1 BD - Bases de Données
2 Okanagan College
3 UPEC FST - Université Paris-Est Créteil Val-de-Marne - Faculté des sciences et technologie

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.

Mots clés: Database; Accelerators

Domaines: Informatique [cs]

Bernd Amann, Youry Khmelevsky, Gaétan Hains. State-of-the-Art on Query & Transaction Processing Acceleration.. Huawei. 2019. ⟨hal-04047483⟩