Recent Advancements of High Performance Computing (HPC)
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 September 2025 | Viewed by 89
Special Issue Editors
Interests: software reliability; dependable computing; performance evaluation; computer security
Special Issues, Collections and Topics in MDPI journals
Interests: stochastic model; reliability and maintenance; performance evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues，
High Performance Computing (HPC) has become a cornerstone of modern computational science and engineering, enabling breakthroughs in a wide range of fields, from cyber-physical systems (CPS) to AI-driven applications. These complex systems often involve numerous interacting components, requiring HPC solutions that ensure reliability, scalability, and efficiency. As the demand for high-performance solutions continues to grow, there is a critical need to address challenges related to fault tolerance, resource optimization, and the integration of AI and machine learning into HPC workflows. This Special Issue aims to highlight recent advancements in HPC, focusing on innovative methodologies, tools, and applications that push the boundaries of scalability, dependability, and performance. The topics align with the journal's focus on advancing computing technologies and their application to address real-world challenges. The issue seeks to showcase cutting-edge research that contributes to the development of dependable, efficient, and adaptive HPC systems, meeting the growing demands of complex and critical applications.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Advances in parallel and distributed computing;
- Fault tolerance and recovery mechanisms;
- AI and machine learning integration in HPC;
- Performance optimization for large-scale systems;
- Dependability modeling and evaluation;
- Real-time systems and applications;
- HPC applications in smart cities, healthcare, and industrial IoT;
- Adaptive and self-healing HPC systems;
- Energy-efficient HPC architectures;
- Big data analytics and HPC.
I look forward to receiving your contributions.
Dr. Junjun Zheng
Prof. Dr. Tadashi Dohi
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Electronics 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 2400 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
- parallel processing
- parallel architectures and implementation
- software and hardware optimization
- FPGA architectures
- GPU processing
- OpenCL and CUDA architectures
- OpenMP and MPI architectures
- optimization of industrial and engineering processes
- applications of parallel and high-performance computing
- high performance computing (HPC)
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