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Mathematical Modeling for Parallel and Distributed Processing

This special issue belongs to the section “E1: Mathematics and Computer Science“.

Special Issue Information

Dear Colleagues,

Parallel and distributed processing have become increasingly essential for solving computationally intensive tasks. With the exponential growth of data and the increasing availability of CPU cores, efficient parallel and distributed processing solutions have become more desirable. However, despite decades of development, fundamental challenges still exist, such as distributed knowledge discovery for large-scale data, peer-to-peer energy trading under complex system environments, services improvement in intelligent transportation systems, and parallel training in deep learning. Mathematical models can greatly help address these challenges through resource utilization optimization, data mining and analytics, energy consumption minimization, and communication overhead reduction. By incorporating powerful mathematical models into parallel and distributed processing, we can achieve better performance, optimize computation and communication between nodes, and overcome the fundamental challenges that exist in this field.

The main objective of this Special Issue is to showcase innovative research that combines parallel and distributed computing with powerful and smart mathematical methods. We welcome submissions that present the latest developments in distributed optimization, algorithm design, and mathematical modeling, as well as their applications in big data processing, data usability, energy, transportation, aerospace, and 5G/6G. By highlighting the latest advances in these fields, we aim to foster new ideas and collaborations that can address the current challenges and drive further progress in parallel and distributed computing.

Dr. Tian-Yi Li
Prof. Dr. Lu Chen
Dr. Peiyuan Guan
Dr. Lingxiao Yang
Dr. Yushuai Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • algebraic digital techniques
  • distributed computing
  • parallel processing
  • algorithm design
  • mathematical modeling
  • optimization

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Mathematics - ISSN 2227-7390