Zobrazeno 1 - 10
of 840
pro vyhledávání: '"Mixed Precision"'
Publikováno v:
IEEE Access, Vol 12, Pp 137439-137454 (2024)
Split computing (SC) is an emerging technique to perform the inference task of deep neural network (DNN) models using both mobile devices and cloud/edge servers in a hybrid manner. To improve the end-to-end inference time over the network, SC splits
Externí odkaz:
https://doaj.org/article/c62de56e292744699dffaaa690c4be88
Autor:
Luca Urbinati, Mario R. Casu
Publikováno v:
IEEE Access, Vol 12, Pp 44163-44189 (2024)
Precison-scalable (PS) multipliers are gaining traction in Deep Neural Network accelerators, particularly for enabling mixed-precision (MP) quantization in Deep Learning at the edge. This paper focuses on the Sum-Together (ST) class of PS multipliers
Externí odkaz:
https://doaj.org/article/3e0143af0bda4fb68c31d55f1e71cbe4
Autor:
Chun YANG, Ruiyao ZHANG, Long HUANG, Shutong TI, Jinhui LIN, Zhiwei DONG, Songlu CHEN, Yan LIU, Xucheng YIN
Publikováno v:
工程科学学报, Vol 45, Iss 10, Pp 1613-1629 (2023)
The study of deep neural networks has recently gained widespread attention in recent years, with many researchers proposing network structures that exhibit exceptional performance. A current trend in artificial intelligence (AI) technology involves u
Externí odkaz:
https://doaj.org/article/090861aed6144c0c89407af3dc96496c
Publikováno v:
AI, Vol 4, Iss 4, Pp 926-948 (2023)
Deep learning is employed in many applications, such as computer vision, natural language processing, robotics, and recommender systems. Large and complex neural networks lead to high accuracy; however, they adversely affect many aspects of deep lear
Externí odkaz:
https://doaj.org/article/3dcb79f22b474cb49f0c16efbf19005c
Akademický článek
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Autor:
Uchechukwu Leo Udeji, Martin Margala
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 14, Iss 2, p 33 (2024)
The detrimental impact of toxic chemicals, gas, and oil spills in aquatic environments poses a severe threat to plants, animals, and human life. Regions such as Cancer Alley exemplify the profound consequences of inadequately controlled chemical spil
Externí odkaz:
https://doaj.org/article/b2d7ab44612d4d458d4ea9c53cc0eb68
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-16 (2023)
Abstract With the development of deep neural network (DNN) techniques, applications of DNNs show state-of-art performance. In the cloud edge collaborative mode, edge devices upload the raw data, such as texts, images, and videos, to the cloud for pro
Externí odkaz:
https://doaj.org/article/bf12e847683443868dbb3b2e28ec0e3b
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101656- (2023)
How to efficiently and quickly train large-scale AI models has become a hot topic in recent deep learning. Mixed-precision training is an effective technique to speed up training and reduce memory usage. At present, the automatic mixed-precision trai
Externí odkaz:
https://doaj.org/article/71e0bab40a8b4b77bc7a4a46112e39f6
Autor:
Xinyue Chu
Publikováno v:
IEEE Access, Vol 11, Pp 136410-136421 (2023)
In this study, in order to further improve the construction efficiency of sparse approximate inverse (SPAI) preconditioners, we attempt to explore the construction method of SPAI preconditioners in mixed-precision mode from the perspective of single
Externí odkaz:
https://doaj.org/article/254e7f61a231447b9d795b4b6216c348
Publikováno v:
IEEE Access, Vol 11, Pp 117800-117809 (2023)
Recently, deep neural network (DNN) acceleration has been critical for hardware systems from mobile/edge devices to high-performance data centers. Especially, for on-device AI, there have been many studies on hardware numerical precision reduction co
Externí odkaz:
https://doaj.org/article/5db157cf06524a1d9850588ea7dd0c1c