Zobrazeno 1 - 3
of 3
pro vyhledávání: '"S. M. Reza Tayaranian"'
Autor:
S. M. Reza Tayaranian, Reza Hojabr, M. Hassan Najafi, Dara Rahmati, Ahmad Khonsari, Kamyar Givaki, Parsa Esfahanian
Publikováno v:
DAC
Employing convolutional neural networks (CNNs) in embedded devices seeks novel low-cost and energy efficient CNN accelerators. Stochastic computing (SC) is a promising low-cost alternative to conventional binary implementations of CNNs. Despite the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51462a505c72ab183d50e7f5df0d9cf9
https://doi.org/10.1145/3316781.3317911
https://doi.org/10.1145/3316781.3317911
Autor:
Kamyar Givaki, S. M. Reza Tayaranian, Adrian Cristal, Osman Unsal, Ahmad Khonsari, Dara Rahmati, Reza Hojabr, Behzad Salami, Saeid Gorgin
Publikováno v:
2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
PDP
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
PDP
Deep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solution that can satisfy these requirements for both embedded and High-Perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a05f3fd4dbedc1a6db75bf41dec1ded
Autor:
Masoud Daneshtalab, Mehdi Modarressi
This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks.