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| Titolo: |
1924.1-2022 - IEEE Recommended Practice for Developing Energy-Efficient Power-Proportional Digital Architectures / / Institute of Electrical and Electronics Engineers
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| Pubblicazione: | New York, USA : , : IEEE, , 2022 |
| Descrizione fisica: | 1 online resource (65 pages) |
| Disciplina: | 006.31 |
| Soggetto topico: | Machine learning |
| Sommario/riassunto: | A set of guidelines is presented in this recommended practice for the development of energy-efficient and power-proportional digital architectures so that energy is only consumed when computations are under way and energy is reduced in the non-operating state. The purpose of this practice is to provide guidelines for the designers and developers of digital architectures for creating power-proportionality at different levels of the system. |
| Titolo autorizzato: | 1924.1-2022 - IEEE Recommended Practice for Developing Energy-Efficient Power-Proportional Digital Architectures ![]() |
| ISBN: | 1-5044-8773-7 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996575170503316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |