Energy Efficiency through Significance-Based Computing.
An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide significant energy savings with minimal performance degradation.
| Publicado en: | Computer (00189162) Vol. 47; no. 7; pp. 82 - 86 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Jul2014
|
| 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=97237641&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 97237641 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Jul2014 vid: 47 iid: 7 pid: 13605 pub: IEEE artinfo: ui: 97237641 10.1109/MC.2014.182 ppf: 82 ppct: 4 formats: tig: atl: Energy Efficiency through Significance-Based Computing. aug: au: Nikolopoulos, Dimitrios S. Vandierendonck, Hans Bellas, Nikolaos Antonopoulos, Christos D. Lalis, Spyros Karakonstantis, Georgios Burg, Andreas Naumann, Uwe affil: Queen's University of Belfast University of Thessaly École Polytechnique Fédérale de Lausanne RWTH Aachen University su: Energy consumption research Computer users -- Research Computer research Computer performance Energy research sug: subj: Energy consumption research Computer users -- Research Computer research Computer performance Energy research keyword: Algorithm design and analysis approximate computing automatic differentiation Circuit faults Computers Convergence Educational institutions energy wall Green computing hardware iterative solvers on-chip power consumption Reliability SCoRPiO significance-based computing Significance-Based Computing for Reliability and Power Optimization software engineering ab: An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide significant energy savings with minimal performance degradation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
|---|