Zobrazeno 1 - 10
of 344
pro vyhledávání: '"Optical circuit switching"'
Autor:
TANG Xiongyan, WEI Buzheng, SHEN Shikui, WANG Chuangye, WANG Zelin, ZHANG He, WANG Guangquan, ZHANG Chenfang
Publikováno v:
Guangtongxin yanjiu, Pp 24006201-24006213 (2024)
In recent years, due to the emergence of phenomenal applications of artificial intelligence, the evolution of Artificial Intelligent Data Center (AIDC) and Super Computing Data Center (SCDC) network has become a hot research topic. The traditional th
Externí odkaz:
https://doaj.org/article/2289535c98a04fa99fdcbd9401e08fd6
Publikováno v:
IEEE Access, Vol 8, Pp 24829-24846 (2020)
To meet the increasing inter-datacenter traffic, datacenter storage is brought in the forwarding path. Bulk data that are delay-tolerant can be temporarily stored and forwarded (SnF) at a later time when link is less busy. However, the use of storage
Externí odkaz:
https://doaj.org/article/3b631e793d134652b698004608aa6b35
Publikováno v:
IEEE Photonics Journal, Vol 11, Iss 1, Pp 1-10 (2019)
Free-space optical (FSO) network is an effective way to enhance the interoperability and improve the resource utilization of the FSO communication systems. Since the structure is relatively simple and the nodes are not so many, wavelength conversion-
Externí odkaz:
https://doaj.org/article/669dede61e9a46a5946bcc1303e1f483
Publikováno v:
IEEE Access, Vol 7, Pp 52319-52330 (2019)
In previous work, we proposed a neural network approach to estimate the blocking probability of optical networks with fixed routing. The neural network was implemented by the extreme learning machine (ELM) framework, in which the training inputs were
Externí odkaz:
https://doaj.org/article/ce1afee47a1c41f8bf54244059bbfd97
Akademický článek
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Hybrid Electrical/Optical Switch Architectures for Training Distributed Deep Learning in Large-Scale
Autor:
Thao-Nguyen Truong, Ryousei Takano
Publikováno v:
IEICE Transactions on Information and Systems. :1332-1339
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666d1c40af0fa664193f9725844c4621
https://doi.org/10.1587/transinf.2020edp7201
https://doi.org/10.1587/transinf.2020edp7201
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:457-469
Nowadays, optical circuit switching is becoming an increasingly favored technology in scaling data center networks for its definitive advantages in data rate, power consumption, and device cost. Concurrently, reducing coflow completion time (CCT) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04320f70da4518ed0649489f1f25b4d6
https://doi.org/10.1109/tpds.2020.3025145
https://doi.org/10.1109/tpds.2020.3025145
Publikováno v:
IEEE Access, Vol 7, Pp 52319-52330 (2019)
In previous work, we proposed a neural network approach to estimate the blocking probability of optical networks with fixed routing. The neural network was implemented by the extreme learning machine (ELM) framework, in which the training inputs were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::210ddacb11c850f71b68d648af97e0f5
https://ieeexplore.ieee.org/document/8686331/
https://ieeexplore.ieee.org/document/8686331/
Publikováno v:
IEEE Access, Vol 8, Pp 24829-24846 (2020)
To meet the increasing inter-datacenter traffic, datacenter storage is brought in the forwarding path. Bulk data that are delay-tolerant can be temporarily stored and forwarded (SnF) at a later time when link is less busy. However, the use of storage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17954ab714c02471bed26574def04311
https://ieeexplore.ieee.org/document/8976164/
https://ieeexplore.ieee.org/document/8976164/
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.