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Energy Efficient Deep Neural Network Processing: Digital CMOS Limits and Prospects for Analog In-Memory Computing.

Conference ·
DOI:https://doi.org/10.2172/2002041· OSTI ID:2002041
; ; ; ; ; ; ; ; ;
Abstract not provided.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
NA0003525
OSTI ID:
2002041
Report Number(s):
SAND2022-1803C; 704212
Country of Publication:
United States
Language:
English

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