Parallel and Distributed Computing Systems: Current Trends and Future Prospects

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 December 2025 | Viewed by 40

Special Issue Editors


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Guest Editor
The School of Computer Science, Wuhan University, Wuhan 430072, China
Interests: parallel and cloud computing; distributed computing; big data platform; artificial intelligence architecture
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China
Interests: distributed computing; edge computing; federated learning; data analysis

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Guest Editor
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
Interests: distributed computing; data analysis; edge learning

Special Issue Information

Dear Colleagues,

The rapid evolution of computing technologies, driven by the exponential growth of data-intensive applications, artificial intelligence, IoT, and cloud-edge ecosystems, has positioned parallel and distributed computing systems as critical enablers of modern computational efficiency and scalability. This Special Issue seeks to explore and highlight the latest advances and emerging challenges in parallel and distributed computing systems. It aims to address challenges in architecture design, algorithm optimization, resource management, fault tolerance, energy efficiency, and security while fostering discussions on novel applications in areas such as machine learning, edge computing, blockchain, and quantum-inspired distributed systems. Topics of interest include, but are not limited to, multi-core and many-core processors, high-performance computing, cloud and edge computing, distributed algorithms, scalability, energy-efficient solutions, and heterogeneous architectures. This Special Issue welcomes original research articles, comprehensive review papers, and case studies that address both fundamental principles and real-world implementations.

Prof. Dr. Dazhao Cheng
Dr. Chuang Hu
Dr. Fang He
Guest Editors

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Keywords

  • parallel computing systems
  • AI/ML integration in distributed systems
  • scalability and optimization
  • energy-efficient computing
  • scalability and optimization

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Published Papers

This special issue is now open for submission.
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