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
PublisherIEEE, New York [u. a.]
ISBN (electronic)9781509010950
Publication statusPublished - 21 Dec 2016
Peer-reviewedYes

Publication series

Series2016 IEEE 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