Communication Optimization Technology Based on Network Dynamic Performance Model

Author:

Cui Xiang12ORCID,Li Xiaowen3ORCID,Wang Bei2ORCID

Affiliation:

1. College of Computer & Information Engineering, Henan University, Kaifeng 475000, China

2. HCST Key Lab, at School of EECS, Peking University, Beijing 100871, China

3. Henan Finance University, Zhengzhou 450000, China

Abstract

This work analyses different communication modes in applications of supercomputing, proposes a communication dynamic performance model based on topology awareness, and realizes the prototype system of all-to-all communication and stencil communication optimization based on this model. Basic tests on the optimization of all-to-all communication and stencil communication were carried out on the Sunway TaihuLight System, and this achieved obvious optimization results. Several applications, including molecular dynamics simulation and turbulence simulation, have been optimized and tested. The average performance has been improved obviously. It can be expected that, for other large-scale applications, this optimization method can also be used to obtain significant improvement in communication performance.

Funder

National Key R&D Program of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simulation of Large-Scale 5G Communication Optimization Model Based on Fuzzy Neural Network Optimization Algorithm;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25

2. Research on Visual Communication Optimization Method based on Simulation Technology;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

3. Optimizing All-to-All Collective Communication on Tianhe Supercomputer;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12

4. Symmetric Quantile Quantizer Parameterization for the Laplacian Source: Qualification for Contemporary Quantization Solutions;Mathematical Problems in Engineering;2021-02-04

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