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

Ehsan Arianyan, Niloofar Gholipour

2025Englishhigh-performance computingemerging technologiesquantum computingneuromorphic computingin-memory computingserverless computing

Abstract

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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. 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. The research analyzes 142 studies published primarily between 2018 and 2025, examining relevant hardware solutions, domain-specific programming languages, frameworks, development tools, and simulation platforms. The primary objective of this study is to identify the software and hardware dimensions of these technologies and analyze their roles in improving computational performance.

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Cite This Work

@article{3dff6911-1153-43d3-8ee7-e0e59edf7230,
  title={A Systematic Review and Classification of HPC-Related Emerging Computing Technologies},
  author={Ehsan Arianyan and Niloofar Gholipour},
  year={2025},
  language={English}
}
TY  - JOUR
TI  - A Systematic Review and Classification of HPC-Related Emerging Computing Technologies
AU  - Ehsan Arianyan
AU  - Niloofar Gholipour
PY  - 2025
LA  - English
ER  -

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