Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Eduardo Salazar-Villalobos"'
Publikováno v:
Tecnología en Marcha, Vol 35, Iss 9 (2022)
Performing inference of complex machine learning (ML) algorithms at the edge is becoming important to unlink the system functionality from the cloud. However, the ML models increase complexity faster than the available hardware resources. This resear
Externí odkaz:
https://doaj.org/article/8543152a43994fe0aa1a3aa784161ec6
Autor:
Luis G. León-Vega, Eduardo Salazar-Villalobos, Alejandro Rodriguez-Figueroa, Jorge Castro-Godínez
Publikováno v:
ACM Transactions on Embedded Computing Systems.
Low-power consumption and scarce computational resources limit the computation at the edge. Besides, the approximate computing paradigm reports promising techniques for designing accelerators to deal with inherent limitations of the edge, and high-le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f30f6c9ca75b280a14f560f4bfac7bcd
https://doi.org/10.1145/3594540
https://doi.org/10.1145/3594540
Publikováno v:
2022 IEEE 15th Dallas Circuit And System Conference (DCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe68c35796768e829ef483a2dabbb4ef
https://doi.org/10.1109/dcas53974.2022.9845501
https://doi.org/10.1109/dcas53974.2022.9845501