A Systematic Review and Classification of HPC-Related Emerging Computing Technologies

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Electronics vol. 14, no. 12 (2025), p. 2476-2519
Päätekijä: Arianyan Ehsan
Muut tekijät: Gholipour Niloofar, Maleki Davood, Ghorbani Neda, Sepahvand Abdolah, Goudarzi Pejman
Julkaistu:
MDPI AG
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022 |a 2079-9292 
024 7 |a 10.3390/electronics14122476  |2 doi 
035 |a 3223909334 
045 2 |b d20250101  |b d20251231 
084 |a 231458  |2 nlm 
100 1 |a Arianyan Ehsan  |u ICT Research Institute, Tehran 14155-3961, Iran 
245 1 |a A Systematic Review and Classification of HPC-Related Emerging Computing Technologies 
260 |b MDPI AG  |c 2025 
513 |a Literature Review 
520 3 |a In recent decades, access to powerful computational resources has brought about a major transformation in science, with supercomputers drawing significant attention from academia, industry, and governments. Among these resources, high-performance computing (HPC) has emerged as one of the most critical processing infrastructures, providing a suitable platform for evaluating and implementing novel technologies. In this context, the development of emerging computing technologies has opened up new horizons in information processing and the delivery of computing services. In this regard, this paper systematically reviews and classifies emerging HPC-related computing technologies, including quantum computing, nanocomputing, in-memory architectures, neuromorphic systems, serverless paradigms, adiabatic technology, and biological solutions. Within the scope of this research, 142 studies which were mostly published between 2018 and 2025 are analyzed, and relevant hardware solutions, domain-specific programming languages, frameworks, development tools, and simulation platforms are examined. The primary objective of this study is to identify the software and hardware dimensions of these technologies and analyze their roles in improving the performance, scalability, and efficiency of HPC systems. To this end, in addition to a literature review, statistical analysis methods are employed to assess the practical applicability and impact of these technologies across various domains, including scientific simulation, artificial intelligence, big data analytics, and cloud computing. The findings of this study indicate that emerging HPC-related computing technologies can serve as complements or alternatives to classical computing architectures, driving substantial transformations in the design, implementation, and operation of high-performance computing infrastructures. This article concludes by identifying existing challenges and future research directions in this rapidly evolving field. 
653 |a Cryptography 
653 |a Transformations (mathematics) 
653 |a Quantum computing 
653 |a Software 
653 |a Data processing 
653 |a Artificial intelligence 
653 |a Hardware 
653 |a Communication 
653 |a Cloud computing 
653 |a Programming languages 
653 |a Interdisciplinary aspects 
653 |a Classification 
653 |a Statistical methods 
653 |a Algorithms 
653 |a Statistical analysis 
653 |a Energy consumption 
653 |a High performance computing 
653 |a Systematic review 
653 |a Technology 
653 |a Literature reviews 
700 1 |a Gholipour Niloofar  |u Department of Software and IT Engineering, École de Technologie Supérieure, University of Quebec, Montreal, QC H3C 1K3, Canada 
700 1 |a Maleki Davood  |u ICT Research Institute, Tehran 14155-3961, Iran 
700 1 |a Ghorbani Neda  |u ICT Research Institute, Tehran 14155-3961, Iran 
700 1 |a Sepahvand Abdolah  |u Department of Computer Engineering, Amirkabir University of Technology, Hafez, Tehran 15875-4413, Iran 
700 1 |a Goudarzi Pejman  |u ICT Research Institute, Tehran 14155-3961, Iran 
773 0 |t Electronics  |g vol. 14, no. 12 (2025), p. 2476-2519 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3223909334/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3223909334/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3223909334/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch