Scalable Linear Algebra on a Relational Database System.
As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue that a parallel or distributed database system is actually an excellent platform upon which to build...
| Publicado en: | Communications of the ACM Vol. 63; no. 8; pp. 93 - 102 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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Association for Computing Machinery
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=144741222&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 144741222 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Aug2020 vid: 63 iid: 8 pid: 68 pub: Association for Computing Machinery artinfo: ui: 144741222 10.1145/3405470 ppf: 93 ppct: 9 formats: tig: atl: Scalable Linear Algebra on a Relational Database System. aug: au: Shangyu Luo Gao, Zekai J. Gubanov, Michael Perez, Luis L. Jankov, Dimitrije Jermaine, Christopher affil: Florida State University, Tallahassee, FL, USA su: Linear algebra Scalability Relational databases Data management Program transformation sug: subj: Linear algebra Scalability Relational databases Data management Program transformation ab: As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue that a parallel or distributed database system is actually an excellent platform upon which to build such functionality. Most relational systems already have support for cost-based optimization--which is vital to scaling linear algebra computations--and it is well known how to make relational systems scalable. We show that by making just a few changes to a parallel/distributed relational database system, such a system can become a competitive platform for scalable linear algebra. Taken together, our results should at least raise the possibility that brand new systems designed from the ground up to support scalable linear algebra are not absolutely necessary, and that such systems could instead be built on top of existing relational technology. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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