A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters

A data and knowledge-driven stability assurance scheme for such clusters was proposed to address the issues of frequent hardware failures, persistently high task training failure rates, and difficulties in cross-domain problem localization within ultra-large intelligent computing clusters with over...

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Bibliographic Details

Published in:	Dianxin kexue
Main Authors:	NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang
Format:	Article
Language:	Chinese
Published:	Beijing Xintong Media Co., Ltd 2025-07-01
Subjects:	intelligent computing cluster fault diagnosis SA-BiLSTM knowledge graph
Online Access:	http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025151/