A Database Accelerator for Energy-Efficient Query Processing and Optimization

被引：0

作者：

Haas, Sebastian ^{[1
]}

Arnold, Oliver ^{[1
]}

Scholze, Stefan ^{[2
]}

Hoeppner, Sebastian ^{[2
]}

Ellguth, Georg ^{[2
]}

Dixius, Andreas ^{[2
]}

Ungethuem, Annett ^{[3
]}

Mier, Eric ^{[3
]}

Noethen, Benedikt ^{[1
]}

Matus, Emil ^{[1
]}

Schiefer, Stefan ^{[2
]}

Cederstroem, Love ^{[2
]}

Pilz, Fabian ^{[4
]}

Mayr, Christian ^{[2
]}

Schueffny, Rene ^{[2
]}

Lehner, Wolfgang ^{[3
]}

Fettweis, Gerhard P. ^{[1
]}

机构：

[1] Tech Univ Dresden, Vodafone Chair Mobile Commun Syst, Dresden, Germany

[2] Tech Univ Dresden, Chair Highly Parallel VLSI Syst & Neuromicroelect, Dresden, Germany

[3] Tech Univ Dresden, Database Syst Grp, Dresden, Germany

[4] Germany Ctr Adv Elect Dresden Cfaed, RacyICs GmbH Dresden, Dresden, Germany

来源：

2016 2ND IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE (NORCAS) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：5

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