Flexible Energy-Aware Image and Transformer Processors for Edge Computing

Machine learning inference on edge devices for image and language processing has become increasingly common in recent years, but faces challenges associated with high memory and computation requirements, coupled with limited energy resources. This work applies different quantization schemes and trai...

Ausführliche Beschreibung

Bibliographische Detailangaben
1. Verfasser: Ji, Alex
Weitere Verfasser: Chandrakasan, Anantha P.
Format: Abschlussarbeit
Veröffentlicht: Massachusetts Institute of Technology 2023
Online Zugang:https://hdl.handle.net/1721.1/152854
https://orcid.org/0009-0000-7720-9951