Conference contribution
(Conference Contribution)


A co-design approach for accelerated SQL query processing via FPGA-based data filtering


Publication Details
Author(s): Becher A, Ziener D, Meyer-Wegener K, Teich J
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2015
Pages range: 192-195
ISBN: 9781467390910

Event details
Event: International Conference on Field Programmable Technology, FPT 2015
Event location: Queenstown
Start date of the event: 07/12/2015
End date of the event: 09/12/2015

Abstract

In this paper, we present a novel co-designed architecture for high throughput database query processing. It consists of a highly configurable FPGA-based filter chain with arithmetic operation support and an alignment unit. This feeds the filtered data directly and in a cache-optimized way to embedded processors which are responsible for joining tables and post processing. High throughput interfaces and parallelism of FPGA implementations are thus combined in order to provide reduced and cache-Aligned data for optimized processor access. As a key component, we introduce a new highly configurable bloom filter cascade to relieve a processor of time-consuming hash-value computation and to significantly reduce the data for hash joins. It is shown that this unique approach may reduce the amount of data to be processed by the processors in typical data-warehouse applications by several orders of magnitude. The proposed co-design has been implemented on the embedded low-energy system-on-chip (SoC) platform Xilinx Zynq. Performance results for standard benchmarks show an up to 10 x higher throughput compared to a full featured x86-based processor at only a fraction of energy consumption.



How to cite
APA: Becher, A., Ziener, D., Meyer-Wegener, K., & Teich, J. (2015). A co-design approach for accelerated SQL query processing via FPGA-based data filtering. (pp. 192-195). Institute of Electrical and Electronics Engineers Inc..

MLA: Becher, Andreas, et al. "A co-design approach for accelerated SQL query processing via FPGA-based data filtering." Proceedings of the International Conference on Field Programmable Technology, FPT 2015, Queenstown Institute of Electrical and Electronics Engineers Inc., 2015. 192-195.

BibTeX: Download
Share link
Last updated on 2017-02-22 at 01:44
PDF downloaded successfully