Accelerated join evaluation in Semantic Web databases by using FPGAs

Stefan Werner*, Dennis Heinrich, Marc Stelzner, Volker Linnemann, Thilo Pionteck, Sven Groppe

*Corresponding author for this work
2 Citations (Scopus)

Abstract

While the amount of information steadily increases, the requirements on the response time to query these information become more strict. Under those conditions, conventional database systems reach their limits and cannot meet these performance requirements anymore. In recent years, systems with many processing cores are considered to satisfy these demands. Furthermore, these systems include more and more heterogeneous cores tailor-made to solve one specific task in an efficient manner. However, dedicated hardware accelerators are inflexible and cannot be adapted to the requirements of a dedicated query. Thus, the challenge is orchestrating the diversity of the functionality of all the cores to be optimized for performance/energy efficiency. In this paper, a concept is introduced on how to develop a flexible Field-Programmable Gate Arrays (FPGA)-based hardware accelerator to improve the performance of query evaluation in a Semantic Web database. As a first step to the hardware/software system, several joint algorithms are implemented on an FPGA and evaluated against a well-developed software solution (implemented in C). The comparison shows a significant speedup of up to 10 times. Because of the complexity of the join operator, it is promising that the overall performance of query evaluation can be further enhanced by processing whole queries on an FPGA.

Original languageEnglish
JournalConcurrency Computation
Volume28
Issue number7
Pages (from-to)2031-2051
Number of pages21
ISSN1532-0626
DOIs
Publication statusPublished - 01.05.2016

Research Areas and Centers

  • Research Area: Intelligent Systems
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 409-06 Information Systems, Process and Knowledge Management
  • 409-04 Operating, Communication, Database and Distributed Systems

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