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Energy-aware SQL query acceleration through FPGA-based dynamic partial reconfiguration

Becher A, Bauer F, Ziener D, Teich J (2014)

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Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 662 - 669

Article Number: 6927502

Conference Proceedings Title: Proceedings of the Conference on Field-Programmable Logic and Applications (FPL 2014)

Event location: Munich

ISBN: 9783000446450

DOI: 10.1109/FPL.2014.6927502

Abstract

In this paper, we propose an approach for energy-aware FPGA-based query acceleration for databases on embedded devices. After the analysis of an incoming query, a query-specific hardware accelerator is generated on-the-fly and loaded on the FPGA for subsequent query execution using partial dynamic reconfiguration. For each SQL query operation, a pre-synthesized partial bitstream implementation exists in a module library. This library includes modules for all major SQL operations like restrictions, aggregations, as well as more complex operations such as join and sort. The implementation of this flexible FPGA-based query accelerator approach on the embedded low-energy system-on-chip (SoC) platform Xilinx Zynq shows SQL query processing speeds comparable to high-end database servers, however, at a much lower energy consumption. Indeed, provided experimental results give evidence that the proposed architecture may reduce the amount of consumed energy to just 5% of the energy needed of an in-memory database system running on an x86-based server at equal throughput for respective benchmarks.

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How to cite

APA:

Becher, A., Bauer, F., Ziener, D., & Teich, J. (2014). Energy-aware SQL query acceleration through FPGA-based dynamic partial reconfiguration. In Proceedings of the Conference on Field-Programmable Logic and Applications (FPL 2014) (pp. 662 - 669). Munich, DE: Institute of Electrical and Electronics Engineers Inc..

MLA:

Becher, Andreas, et al. "Energy-aware SQL query acceleration through FPGA-based dynamic partial reconfiguration." Proceedings of the 24th International Conference on Field Programmable Logic and Applications, FPL 2014, Munich Institute of Electrical and Electronics Engineers Inc., 2014. 662 - 669.

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