A database accelerator for energy-efficient query processing and optimization
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
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| Title of host publication | 2016 IEEE Nordic Circuits and Systems Conference (NORCAS) |
| Editors | Jens Sparso, Ivan Jorgensen, Ivan Ring Nielsen, Jari Nurmi |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (electronic) | 9781509010950 |
| Publication status | Published - 21 Dec 2016 |
| Peer-reviewed | Yes |
Publication series
| Series | IEEE Nordic Circuits and Systems Conference (NorCAS) |
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Conference
| Title | 2016 IEEE Nordic Circuits and Systems Conference |
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| Abbreviated title | NorCAS 2016 |
| Conference number | 2 |
| Duration | 1 - 2 November 2016 |
| City | Copenhagen |
| Country | Denmark |
External IDs
| ORCID | /0000-0001-8107-2775/work/142253532 |
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