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

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 m...

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Hauptverfasser:	Amann, Bernd, Khmelevsky, Youry, Hains, Gaetan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Databases Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Performance
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creator	Amann, Bernd Khmelevsky, Youry Hains, Gaetan
description	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.
doi_str_mv	10.48550/arxiv.1907.00050
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title	State-of-the-Art on Query & Transaction Processing Acceleration
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