A database accelerator for energy-efficient query processing and optimization
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
| Originalsprache | Englisch |
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| Titel | 2016 IEEE Nordic Circuits and Systems Conference (NORCAS) |
| Redakteure/-innen | Jens Sparso, Ivan Jorgensen, Ivan Ring Nielsen, Jari Nurmi |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (elektronisch) | 9781509010950 |
| Publikationsstatus | Veröffentlicht - 21 Dez. 2016 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | IEEE Nordic Circuits and Systems Conference (NorCAS) |
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Konferenz
| Titel | 2016 IEEE Nordic Circuits and Systems Conference |
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| Kurztitel | NorCAS 2016 |
| Veranstaltungsnummer | 2 |
| Dauer | 1 - 2 November 2016 |
| Stadt | Copenhagen |
| Land | Dänemark |
Externe IDs
| ORCID | /0000-0001-8107-2775/work/142253532 |
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