Emerging Research Architectures.
The article presents an exploration into computer processing architectures being developed in the early 21st century. The emergence of multi-core processing technology and complimentary metal-oxide semiconductor (CMOS) platforms are particularly outlined and the order-of-magnitude improvement possib...
| Publicado en: | Computer (00189162) Vol. 41; no. 5; pp. 33 - 38 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
May2008
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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=32015168&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 32015168 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: May2008 vid: 41 iid: 5 pid: 13605 pub: IEEE artinfo: ui: 32015168 10.1109/MC.2008.155 ppf: 33 ppct: 5 formats: tig: atl: Emerging Research Architectures. aug: au: Gavin, Ralph Hutchby, James A. Zhirnov, Victor Brewer, Joe E. Bourianoff, George affil: Industry Professor, Department of Electrical and Computer Engineering, University of Florida. su: Computer architecture Systems development Complementary metal oxide semiconductors Computational complexity Technological innovations Algorithms Parallel computers sug: subj: Computer architecture Systems development Complementary metal oxide semiconductors Computational complexity Technological innovations Algorithms Parallel computers ab: The article presents an exploration into computer processing architectures being developed in the early 21st century. The emergence of multi-core processing technology and complimentary metal-oxide semiconductor (CMOS) platforms are particularly outlined and the order-of-magnitude improvement possibilities are addressed. Questions are raised regarding the broader algorithmic structures being utilized to support such platforms. The morphic computational architecture model, hybrid computing, cellular nonlinear networking, and other systems are presented as possible solutions to this question and analyzed for their effectiveness. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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