Optimizing Sparse Linear Algebra for Large-Scale Graph Analytics.
Emerging data-intensive applications attempt to process and provide insight into vast amounts of online data. A new class of linear algebra algorithms can efficiently execute sparse matrix-matrix and matrix-vector multiplications on large-scale, shared memory multiprocessor systems, enabling analyst...
| Publicado en: | Computer (00189162) Vol. 48; no. 8; pp. 26 - 35 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Aug2015
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| Materias: | |
| 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=108932515&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 108932515 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Aug2015 vid: 48 iid: 8 pid: 13605 pub: IEEE artinfo: ui: 108932515 10.1109/MC.2015.228 ppf: 26 ppct: 9 formats: tig: atl: Optimizing Sparse Linear Algebra for Large-Scale Graph Analytics. aug: au: Buono, Daniele Gunnels, John A. Que, Xinyu Checconi, Fabio Petrini, Fabrizio Tuan, Tai-Ching Long, Chris affil: IBM T.J. Watson Research Center University of Maryland US Department of Defense su: Online data processing Linear algebra Computer storage devices Multiprocessors Social networks sug: subj: Online data processing Linear algebra Computer storage devices Multiprocessors Social networks keyword: Concurrent programming data analysis Data-intensive applications graph analytics irregular applications Memory management shared memory multiprocessor systems software Software engineering sparse linear algebra Sparse matrices system performance ab: Emerging data-intensive applications attempt to process and provide insight into vast amounts of online data. A new class of linear algebra algorithms can efficiently execute sparse matrix-matrix and matrix-vector multiplications on large-scale, shared memory multiprocessor systems, enabling analysts to more easily discern meaningful data relationships, such as those in social networks. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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