Technology of Network & Communication
|
2130-2137

SNN load balancing method based on united weight hypergraph partition

Xu Cong1
Ye Junchao1
Huang Yao1
Chai Zhilei1,2
1. School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China
2. Jiangsu Provincial Engineering Laboratory of Pattern Recognition & Computational Intelligence, Wuxi Jiangsu 214122, China

Abstract

Large-scale spiking neural network(SNN) parallel simulation is an important means to explore brain function. The difficulty lies in properly mapping the load to the multi-process parallel computing platform and improving the simulation speed. In order to solve this problem, this paper proposed a SNN load balancing method based on united weight hypergraph partitioning, which could solve the problem of balancing computing load and communication load between processes in parallel computing, and improve the speed of SNN simulation. And it used sparse communication instead of collective communication to solve the problem of data redundancy in the process of event communication and improve communication efficiency. The experimental results show that this method makes the simulation time of the cortical microcircuit model with STDP synapse scale of 20% shortened by about 64.5% compared with the standard cyclic allocation algorithm, and about 57.4% compared with the ordinary supermap allocation algorithm. At the same time, the communication time is reduced by more than 90%.

Foundation Support

国家自然科学基金资助项目(61972180)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0789
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Technology of Network & Communication
Pages: 2130-2137
Serial Number: 1001-3695(2023)07-032-2130-08

Publish History

[2023-02-27] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

徐聪, 叶钧超, 黄尧, 等. 基于联合权重超图划分的SNN负载均衡方法 [J]. 计算机应用研究, 2023, 40 (7): 2130-2137. (Xu Cong, Ye Junchao, Huang Yao, et al. SNN load balancing method based on united weight hypergraph partition [J]. Application Research of Computers, 2023, 40 (7): 2130-2137. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)