Výsledky vyhledávání - "field-programmable gate array (FPGA) accelerator"

Detect and Replace: Efficient Soft Error Protection of FPGA-Based CNN Accelerators

Autoři: Zhen Gao Yanmao Qi Jinchang Shi a další

Zdroj: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ISSN 1557-9999, 2024
Archivo Digital UPM
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Témata: Informática, Telecomunicaciones, Protection, Field programmable gate arrays, 02 engineering and technology, Reliability, Convolutional neural networks (CNNs), Convolution, Integrated circuit modeling, error detection, field-programmable gate array (FPGA) accelerator, Parallel processing, 0202 electrical engineering, electronic engineering, information engineering, Convolutional neural networks, soft error tolerance, Electrónica, fault injection (FI)

Popis souboru: application/pdf

Přístupová URL adresa: https://oa.upm.es/83243/

FPGA-based Accelerator for Convolutional Neural Network

Autoři: YU Zijian,MA De,YAN Xiaolang,SHEN Juncheng

Zdroj: Jisuanji gongcheng, Vol 43, Iss 1, Pp 109-114,119 (2017)

Témata: convolutional neutral network(cnn)|field programmable gate array(fpga)|accelerator|pipeline|parallelization, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/201701019.pdf; https://doaj.org/toc/1000-3428; https://doaj.org/article/0c6e2a92be444630beffb0fb8b0ee1c1

Dostupnost: https://doi.org/10.3969/j.issn.1000-3428.2017.01.019
https://doaj.org/article/0c6e2a92be444630beffb0fb8b0ee1c1