Survey on converged networks of high-performance computing network and data center network

被引：0

作者：

Lu P. ^{[1
]}

Dong D. ^{[1
]}

Lai M. ^{[1
]}

Qi X. ^{[1
]}

Xiong Z. ^{[1
]}

Cao J. ^{[1
]}

Xiao L. ^{[1
]}

机构：

[1] College of Computer Seienee and Technology, National University of Defense Technology, Changsha

来源：

Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology | 2023年 / 45卷 / 04期

关键词：

converged network; data center network; high performance computing network; in-nelwork computing;

D O I：

10.11887/j.cn.202304001

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the convergence trend of high performance computing, big data processing, cloud computing and artificial intelligence computing, the converged network of high-performance computing network and data center network becomes an important trend. The current research status of converged network was analyzed, and the representative converged networks were described in detail to comprehensively show the latest technologies and trends. The challenges faced by the converged network were put forward, and the trends of converged network were proposed, including the convergence and differentiation coexistence of the converged network protocols, the performance acceleration of the converged network based on in-network computing, and the performance optimization of the converged network for emerging applications. © 2023 National University of Defense Technology. All rights reserved.

引用

页码：1 / 10

页数：9

共 74 条

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