Open AccessEuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference
Author(s) -
Mariana Prazeres,
Xinlin Li,
Adam M. Oberman,
Vahid Partovi Nia
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0010988500003122
Subject(s) - computer science , inference , architecture , computer architecture , training (meteorology) , hardware architecture , computer engineering , computer hardware , artificial intelligence , programming language , software , art , physics , meteorology , visual arts