- Titel
- Bringing Linear Algebra Objects to Life in a Column-Oriented In-Memory Database
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-831177
- Konferenz
- In Memory Data Management and Analysis: First and Second International Workshops. Hongzhou, 01.09.2014
- Quellenangabe
- In Memory Data Management and Analysis
; First and Second International Workshops, IMDM 2013
Herausgeber: Arun Jagatheesan
Herausgeber: Justin Levandoski
Herausgeber: Thomas Neumann
Herausgeber: Andrew Pavlo
Erscheinungsort: Cham
Verlag: Springer
Erscheinungsjahr: 2015
Titel Schriftenreihe: Lecture Notes in Computer Science
Bandnummer Schriftenreihe: 8921
Seiten: 44-55
ISBN: 978-3-319-13959-3 - Erstveröffentlichung
- 2015
- Abstract (EN)
- Large numeric matrices and multidimensional data arrays appear in many science domains, as well as in applications of financial and business warehousing. Common applications include eigenvalue determination of large matrices, which decompose into a set of linear algebra operations. With the rise of in-memory databases it is now feasible to execute these complex analytical queries directly in a relational database system without the need of transfering data out of the system and being restricted by hard disc latencies for random accesses. In this paper, we present a way to integrate linear algebra operations and large matrices as first class citizens into an in-memory database following a two-layered architectural model. The architecture consists of a logical component receiving manipulation statements and linear algebra expressions, and of a physical layer, which autonomously administrates multiple matrix storage representations. A cost-based hybrid storage representation is presented and an experimental implementation is evaluated for matrix-vector multiplications.
- Andere Ausgabe
- Link zum Artikel, der zuerst bei Springer Link erschienen ist.
DOI: 10.1007/978-3-319-13960-9_4 - Freie Schlagwörter (DE)
- Lineare Algebra, Hybriddarstellung, Speicherdarstellung, Fließkomma-Operation, Analytische Abfrage
- Freie Schlagwörter (EN)
- Linear Algebra, Hybrid Representation, Storage Representation, Float Point Operation, Analytical Query
- Klassifikation (DDC)
- 004
- Verlag
- Springer, Berlin [u. a.]
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-831177
- Veröffentlichungsdatum Qucosa
- 27.01.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
