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Database Analytics: A Reconfigurable-Computing Approach.

Authors :
Sukhwani, Bharat
Min, Hong
Thoennes, Mathew
Dube, Parijat
Brezzo, Bernard
Asaad, Sameh
Dillenberger, Donna Eng
Source :
IEEE Micro. Jan2014, Vol. 34 Issue 1, p19-29. 11p.
Publication Year :
2014

Abstract

Businesses are experiencing a growing need for performing real-time analytics on ever-increasing enterprise data. While providing useful business insights and improved market responsiveness, analytics also adds a computational burden on traditional online transaction processing (OLTP) systems and could adversely affect the performance of OLTP workloads. The authors present a highly pipelined, high-throughput query-processing engine on a field-programmable gate array (FPGA) to offload expensive queries for database analytics. The proposed solution provides a mechanism for a database management system (DBMS) to seamlessly harness the FPGA accelerator without requiring any changes in the application or the existing data layout. The authors' system, which uses an off-the-shelf server and a PCIe-attached FPGA card and is integrated into a commercial DBMS platform, achieves an order-of-magnitude speedup on various real-life queries. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
02721732
Volume :
34
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Micro
Publication Type :
Academic Journal
Accession number :
95055090
Full Text :
https://doi.org/10.1109/MM.2013.107