Application-specific architectures for energy-efficient database query processing and optimization
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Data processing on a continuously growing volume of data 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 two application-specific architectures to accelerate basic database operators frequently used in modern database systems: an extended instruction set based on a given Cadence Tensilica processor (ASIP) and a comparable application-specific integrated circuit (ASIC). The ASIP is implemented in a system-on-chip and manufactured in a 28 nm CMOS technology to realize measurements of performance and power consumption. Furthermore, the comparison with the ASIC blocks allows to quantify the results with the ASIP approach in terms of throughput, area, and energy efficiency as well as to discuss the capabilities and limitations when accelerating selected database operators.
Details
Original language | English |
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Pages (from-to) | 119-130 |
Number of pages | 12 |
Journal | Microprocessors and microsystems |
Volume | 55 |
Publication status | Published - Nov 2017 |
Peer-reviewed | Yes |
External IDs
Scopus | 85032375038 |
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ORCID | /0000-0001-8107-2775/work/142253485 |
Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Application-specific instruction-set processor, Application-specific integrated circuit, Database systems, Query processing, System-on-chip