Application of Parallel and Distributed Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 6
Special Issue Editor
Interests: big data and analytics; artificial intelligence/machine learning; parallel and distribute computing; cloud; high performance computing
Special Issue Information
Dear Colleagues,
Recent advances in Big Data, Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and High-Performance Computing (HPC) are reshaping computational science and its applications. Together with parallel and distributed systems, cloud and edge computing, and scalable algorithms, these technologies provide powerful tools to address complex, large-scale, and data-intensive challenges. Applications span diverse domains, including scientific simulations, weather forecasting, healthcare analytics, financial modeling, maritime operations, and smart cities, where intelligent and generative approaches enable data-driven decision-making, efficiency, and creativity.
This Special Issue seeks to bring together cutting-edge research on foundational methods, novel algorithms, innovative architectures, frameworks, and practical implementations in parallel and distributed computing. Application-oriented contributions are encouraged, particularly those that demonstrate how advances in computational science and generative AI can be translated into impactful real-world outcomes. We welcome original research, case studies, and reviews from academia, industry, and government, with a focus on theoretical advances, experimental results, and interdisciplinary applications. By bridging theory and practice, this collection aims to advance the state of the art and provide insights broadly applicable across multiple domains.
Dr. Xiaorong Li
Guest Editor
Manuscript Submission Information
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Keywords
- big data
- data analytics
- artificial intelligence (AI)/machine learning (ML)
- generative AI
- parallel computing
- distributed systems
- cloud and edge computing
- high performance computing (HPC)
- scalable algorithms
- computational science
- intelligent applications
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