Abstract
In main-memory database systems, the time to process the data has become a limiting factor due to the missing access gap. With changing processing capabilities (e.g., branch prediction, pipelining) in every new CPU architecture, code that was optimal once will probably not stay the best code forever. In this article, we analyze processing capabilities of the classical CPU and describe code optimizations to exploit the capabilities. Furthermore, we present state-of-the-art compiler techniques that already implement code optimizations, while also showing gaps for further code optimization integration.
About the authors
David Broneske studied Computer Science at the University of Magdeburg (Bachelor of Science 2012, Master of Science 2013). Currently, he is a research assistant at the Databases and Software Engineering Group of Gunter Saake.
Otto-von-Guericke-Universität Magdeburg, Institut für technische und betriebliche Informationssysteme, Arbeitsgruppe Datenbanken und Software Engineering, Universitätsplatz 2, 39106 Magdeburg
Gunter Saake is a full professor of Computer Science. He is the head of the Databases and Software Engineering Group at the University of Magdeburg, Germany. His research interests include database integration, tailor-made data management, database management on new hardware, and feature-oriented software product lines.
Otto-von-Guericke-Universität Magdeburg, Institut für technische und betriebliche Informationssysteme, Arbeitsgruppe Datenbanken und Software Engineering, Universitätsplatz 2, 39106 Magdeburg
©2017 Walter de Gruyter Berlin/Boston
