First investigations of the vector supercomputer SX-Aurora Tsubasa as a co-processor for database systems

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

The hardware landscape is currently changing from homogeneous multi-core systems towards heterogeneous systems with many different computing units, each with their own characteristics. This trend is a great opportunity for database systems to increase the overall performance if the heterogeneous resources can be utilized efficiently. Following that trend, NEC cooperation has recently introduced a novel heterogeneous hardware system called SX-Aurora TSUBASA. This novel heterogeneous system features a strong vector engine as a (co-)processor providing world's highest memory bandwidth of 1.2TB/s per vector processor. From a database system perspective, where many operations are memory bound, this bandwidth is very interesting. Thus, we describe the unique architecture and properties of this novel heterogeneous system in this paper. Moreover, we present first database-specific evaluation results to show the benefit of this system to increase the query performance. We conclude the paper with an outlook on our ongoing research activities in this direction.

Details

Original languageEnglish
Title of host publicationDatenbanksysteme fur Business, Technologie und Web, BTW 2019 Workshopband - Proceedings
EditorsHolger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, Meike Klettke
PublisherGesellschaft fur Informatik (GI)
Pages33-50
Number of pages18
ISBN (electronic)9783885796848
Publication statusPublished - 2019
Peer-reviewedYes

Publication series

SeriesGI-Edition : lecture notes in informatics. Proceedings
VolumeP-290
ISSN1617-5468

Conference

TitleDie 18. Fachtagung "Datenbanksysteme fur Business, Technologie und Web" , BTW 2019 Workshopband - 18th Symposium "Database Systems for Business, Technology and Web", BTW 2019 Workshop
Duration4 - 8 March 2019
CityRostock
CountryGermany

External IDs

Scopus 85069508659
ORCID /0000-0001-8107-2775/work/142253466

Keywords

ASJC Scopus subject areas

Keywords

  • Database Systems, Heterogeneous Hardware, Vector Processor