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Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3

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Bibliographic Details
Main Authors: Tao, Li, Yitao, Ma, Tetsuo, Endoh
Format: Book
Language:English
Published: Springer 2023
Subjects:
DNNs
DNNs’ superpower
Online Access:https://link.springer.com/article/10.1007/s00521-023-08280-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8271
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spelling oai:localhost:PNK-82712023-04-25T03:49:26Z Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3 Tao, Li Yitao, Ma Tetsuo, Endoh DNNs DNNs’ superpower CC BY Deep neural networks (DNNs) have delivered unprecedented achievements in the modern Internet of Everything society, encompassing autonomous driving, expert diagnosis, unmanned supermarkets, etc. It continues to be challenging for researchers and engineers to develop a high-performance neuromorphic processor for deployment in edge devices or embedded hardware. DNNs’ superpower derives from their enormous and complex network architecture, which is computation-intensive, time-consuming, and energy-heavy. Due to the limited perceptual capacity of humans, accurate processing results from DNNs require a substantial amount of computing time, making them redundant in some applications. Utilizing adaptive quantization technology to compress the DNN model with sufficient accuracy is crucial for facilitating the deployment of neuromorphic processors in emerging edge applications. 2023-04-25T03:49:26Z 2023-04-25T03:49:26Z 2023 Book https://link.springer.com/article/10.1007/s00521-023-08280-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/8271 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic DNNs
DNNs’ superpower
spellingShingle DNNs
DNNs’ superpower
Tao, Li
Yitao, Ma
Tetsuo, Endoh
Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
description CC BY
format Book
author Tao, Li
Yitao, Ma
Tetsuo, Endoh
author_facet Tao, Li
Yitao, Ma
Tetsuo, Endoh
author_sort Tao, Li
title Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
title_short Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
title_full Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
title_fullStr Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
title_full_unstemmed Neuromorphic processor-oriented hybrid Q-format multiplication with adaptive quantization for tiny YOLO3
title_sort neuromorphic processor-oriented hybrid q-format multiplication with adaptive quantization for tiny yolo3
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00521-023-08280-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8271
_version_ 1764177436744876032
score 8.891145

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