Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Chi, Xuebin"'
Autor:
Wei, Junlin, Lin, Pengfei, Jiang, Jinrong, Liu, Hailong, Zhao, Lian, Zhang, Yehong, Han, Xiang, Zhang, Feng, Huang, Jian, Wang, Yuzhu, Li, Youyun, Yu, Yue, Chi, Xuebin
Publikováno v:
In Future Generation Computer Systems November 2024 160:901-917
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1700-1707 (2023)
High-performance computing (HPC) environment provides researchers with high level high-performance computing application services with unified access entrance, unified use method and user technical support through shielding the heterogeneity of job m
Externí odkaz:
https://doaj.org/article/82aa34cc7e4248628bf9255107ddaa0c
Publikováno v:
In Future Generation Computer Systems September 2023 146:166-177
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 10, Pp 2264-2272 (2022)
Log analysis plays an important role in the stable operation of computer system. However, logs are usua-lly unstructured, which is not conducive to automatic analysis. How to categorize logs and turn them into structured data automatically is of grea
Externí odkaz:
https://doaj.org/article/532a917e49514f0c94430eaec190f5fa
Akademický článek
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Akademický článek
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We introduce a new code for cosmological simulations, PHoToNs, which has features on performing massive cosmological simulations on heterogeneous high performance Computer (HPC) and threads oriented programming. PHoToNs adopts a hybrid scheme to comp
Externí odkaz:
http://arxiv.org/abs/1802.09824
Autor:
Yao, Tiechui, Wang, Jue, Wan, Meng, Xin, Zhikuang, Wang, Yangang, Cao, Rongqiang, Li, Shigang, Chi, Xuebin
Publikováno v:
In Journal of Systems Architecture July 2022 128
In this paper, an efficient divide-and-conquer (DC) algorithm is proposed for the symmetric tridiagonal matrices based on ScaLAPACK and the hierarchically semiseparable (HSS) matrices. HSS is an important type of rank-structured matrices.Most time of
Externí odkaz:
http://arxiv.org/abs/1612.07526
Publikováno v:
Jisuanji kexue yu tansuo, Vol 15, Iss 5, Pp 838-847 (2021)
With the increasing amount of logs produced by nodes in CNGrid (China National Grid), traditional manual methods for user behavior analysis can no longer meet the need of daily analysis. In recent years, deep learning has shown good results in key ta
Externí odkaz:
https://doaj.org/article/922d4d6a7ded4d97859a79b83b3b87d9