Conference contribution


Acceleration of SQL Restrictions and Aggregations through FPGA-based Dynamic Partial Reconfiguration


Publication Details
Author(s): Dennl C, Ziener D, Teich J
Title edited volumes: Proceedings - 21st Annual International IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2013
Publication year: 2013
Conference Proceedings Title: Proc. IEEE International Field-Programmable Custom Computing Machines Symposium
Pages range: 25-28
ISBN: 978-1-4673-6005-0

Event details
Event: IEEE International Field-Programmable Custom Computing Machines Symposium (FCCM)
Event location: Seattle
Start date of the event: 28/04/2013
End date of the event: 30/04/2013

Abstract

SQL query processing on large database systems is recognized as one of the most important emerging disciplines of computing nowadays. However, current approaches do not provide a substantial coverage of typical query operators in hardware. In this paper, we provide an important step to higher operator coverage by proposing a) full dynamic data path generation for support also complex operators such as restrictions and aggregations. b) Also, an analysis of the computation times of a real database queries when running on a normal desktop computer is proposed to show that c) speedups ranging between 4 and 50 are obtainable by providing generative support also for the important restrict and aggregate operators using FPGAs. © 2013 IEEE.



How to cite
APA: Dennl, C., Ziener, D., & Teich, J. (2013). Acceleration of SQL Restrictions and Aggregations through FPGA-based Dynamic Partial Reconfiguration. In Proc. IEEE International Field-Programmable Custom Computing Machines Symposium (pp. 25-28). Seattle, US.

MLA: Dennl, Christopher, Daniel Ziener, and Jürgen Teich. "Acceleration of SQL Restrictions and Aggregations through FPGA-based Dynamic Partial Reconfiguration." Proceedings of the IEEE International Field-Programmable Custom Computing Machines Symposium (FCCM), Seattle 2013. 25-28.

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