A database accelerator for energy-efficient query processing and optimization

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

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

OriginalspracheEnglisch
Titel2016 IEEE Nordic Circuits and Systems Conference (NORCAS)
Redakteure/-innenJens Sparso, Ivan Jorgensen, Ivan Ring Nielsen, Jari Nurmi
Herausgeber (Verlag)IEEE, New York [u. a.]
ISBN (elektronisch)9781509010950
PublikationsstatusVeröffentlicht - 21 Dez. 2016
Peer-Review-StatusJa

Publikationsreihe

Reihe2016 IEEE Nordic Circuits and Systems Conference (NORCAS)

Konferenz

Titel2016 IEEE Nordic Circuits and Systems Conference
KurztitelNorCAS 2016
Veranstaltungsnummer2
Dauer1 - 2 November 2016
StadtCopenhagen
LandDänemark

Externe IDs

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

Schlagworte