A Domain-Specific Architecture for Deep Neural Networks.
The article discusses the use of Google's tensor processing units (TPUs) to improve performance per watt of deep neural networks in the company's datacenters, with better energy efficiency than central processing units (CPUs) and graphics processing units (GPUs) in similar technologies.
| Publicado en: | Communications of the ACM Vol. 61; no. 9; pp. 50 - 60 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Sep2018
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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=131463997&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 131463997 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Sep2018 vid: 61 iid: 9 pid: 68 pub: Association for Computing Machinery artinfo: ui: 131463997 10.1145/3154484 ppf: 50 ppct: 10 formats: tig: atl: A Domain-Specific Architecture for Deep Neural Networks. aug: au: JOUPPI, NORMAN P. YOUNG, CLIFF PATIL, NISHANT PATTERSON, DAVID affil: Distinguished Hardware Engineer at Google, Mountain View, CA, USA Member of the Brain team at Google, Mountain View, CA, USA Tech Lead Manager at Google, Mountain View, CA, USA Pardee Professor of Computer Science, Emeritus at the University of California at Berkeley, Berkeley, CA, USA Distinguished Engineer at Google, Mountain View, CA, USA su: Artificial neural networks Application-specific integrated circuits Server farms (Computer network management) Google Inc. Energy consumption sug: subj: Artificial neural networks Application-specific integrated circuits Server farms (Computer network management) Google Inc. Energy consumption ab: The article discusses the use of Google's tensor processing units (TPUs) to improve performance per watt of deep neural networks in the company's datacenters, with better energy efficiency than central processing units (CPUs) and graphics processing units (GPUs) in similar technologies. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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