Research Article
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Published on 15 May 2025
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Wan,X. (2025). Research Overview of Intelligent Computing Platform Technology. Applied and Computational Engineering,151,41-50.
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Research Overview of Intelligent Computing Platform Technology

Xijun Wan *,1,
  • 1 Xidian University, Xi'an, Shaanxi Province, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.22841

Abstract

With the explosive growth of data and the increasing complexity of computing tasks, traditional computing models can no longer meet the demands. Parallel and distributed processing technologies have become key forces driving innovation in information technology. This paper reviews the research progress of intelligent computing platform technologies, focusing on parallel processing and distributed processing technologies. It primarily examines the basic principles and applications of multi-core processor technology, large-scale parallel algorithms, parallel programming, industrial computer networks, multi-agent systems, and cloud-edge-end architectures. Looking ahead, research on optimizing multi-core processors, innovating parallel algorithms, enhancing the intelligence and security of distributed systems, the deep integration of cloud-edge-end architectures with specific computing tasks, and the collaboration and planning of multi-agent systems will further improve the computational capacity, flexibility, and scalability of intelligent computing platforms.

Keywords

Intelligent Computing, Multi-core Processors, Parallel Algorithms, Parallel Programming, Industrial Computer Networks, Agent, Cloud Computing

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Cite this article

Wan,X. (2025). Research Overview of Intelligent Computing Platform Technology. Applied and Computational Engineering,151,41-50.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning

Conference website: https://2025.confseml.org/
ISBN:978-1-80590-091-7(Print) / 978-1-80590-092-4(Online)
Conference date: 2 July 2025
Editor:Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.151
ISSN:2755-2721(Print) / 2755-273X(Online)

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