Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ha, SangHyuck"'
For convolutional neural networks, a simple algorithm to reduce off-chip memory accesses is proposed by maximally utilizing on-chip memory in a neural process unit. Especially, the algorithm provides an effective way to process a module which consist
Externí odkaz:
http://arxiv.org/abs/1901.09614
As edge applications using convolutional neural networks (CNN) models grow, it is becoming necessary to introduce dedicated hardware accelerators in which network parameters and feature-map data are represented with limited precision. In this paper w
Externí odkaz:
http://arxiv.org/abs/1810.13329
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Park, Jun-Seok, Park, Changsoo, Kwon, Suknam, Jeon, Taeho, Kang, Yesung, Lee, Heonsoo, Lee, Dongwoo, Kim, James, Kim, Hyeong-Seok, Lee, YoungJong, Park, Sangkyu, Kim, MinSeong, Ha, SangHyuck, Bang, Jihoon, Park, Jinpyo, Lim, SukHwan, Kang, Inyup
Publikováno v:
IEEE Journal of Solid-State Circuits; January 2023, Vol. 58 Issue: 1 p189-202, 14p
