A database accelerator for energy-efficient query processing and optimization

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Data processing on a continuously growing amount of information and the increasing power restrictions have become an ubiquitous challenge in our world today. Besides parallel computing, a promising approach to improve the energy efficiency of current systems is to integrate specialized hardware. This paper presents a Tensilica RISC processor extended with an instruction set to accelerate basic database operators frequently used in modern database systems. The core was taped out in a 28 nm SLP CMOS technology and allows energy-efficient query processing as well as query optimization by applying selectivity estimation techniques. Our chip measurements show an 1000x energy improvement on selected database operators compared to state-of-the-art systems.

Details

Original languageEnglish
Title of host publication2016 IEEE Nordic Circuits and Systems Conference (NORCAS)
EditorsJens Sparso, Ivan Jorgensen, Ivan Ring Nielsen, Jari Nurmi
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (electronic)9781509010950
Publication statusPublished - 21 Dec 2016
Peer-reviewedYes

Publication series

SeriesIEEE Nordic Circuits and Systems Conference (NorCAS)

Conference

Title2016 IEEE Nordic Circuits and Systems Conference
Abbreviated titleNorCAS 2016
Conference number2
Duration1 - 2 November 2016
CityCopenhagen
CountryDenmark

External IDs

ORCID /0000-0001-8107-2775/work/142253532