Results

eNauka >  Results >  Fast Inference of Deep Neural Networks for Real-Time Physics Applications
Title: Fast Inference of Deep Neural Networks for Real-Time Physics Applications
Authors: G. D. Guglielmo; J. Duarte; S. Han; P. Harris; B. Holzman; S. Jindariani; E. Kreinar; B. Kreis; Lončar, Vladimir M.  ; J. Ngadiuba;
Issue Date: 2019
Publication: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
Publisher: ACM, Seaside, CA, USA
Type: Conference Paper
ISBN: 978-1-4503-6137-8 Search Idenfier
Collation: str. 305-305
URI: https://enauka.gov.rs/handle/123456789/172418
URL: http://isfpga.org/fpga2019/index.html
Metadata source: Migrirano iz RIS podataka
M-category: 
Mp. category will be shown later

Find the DOI


Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.