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Beyond von neumann in the computing continuum: architectures, applications, and future directions
University of Klagenfurt, Austria.
Utrecht University, The Netherlands.
Vrije Universiteit Amsterdam, The Netherlands.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
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2023 (English)In: IEEE Internet Computing, ISSN 1089-7801, E-ISSN 1941-0131, p. 1-11Article in journal (Refereed) Published
Abstract [en]

The article discusses the emerging non-von Neumann computer architectures and their integration in the computing continuum for supporting modern distributed applications, including artificial intelligence, big data, and scientific computing. It provides a detailed summary of the available and emerging non-von Neumann architectures, which range from power-efficient single-board accelerators to quantum and neuromorphic computers. Furthermore, it explores their potential benefits for revolutionizing data processing and analysis in various societal, science, and industry fields. The paper provides a detailed analysis of the most widely used class of distributed applications and discusses the difficulties in their execution over the computing continuum, including communication, interoperability, orchestration, and sustainability issues.

Place, publisher, year, edition, pages
2023. p. 1-11
Keywords [en]
Artificial intelligence, Computational modeling, Computer architecture, Distributed databases, Internet, Neurons, Quantum computing
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-212820DOI: 10.1109/MIC.2023.3301010Scopus ID: 2-s2.0-85166765027OAI: oai:DiVA.org:umu-212820DiVA, id: diva2:1788596
Available from: 2023-08-16 Created: 2023-08-16 Last updated: 2023-09-28Bibliographically approved

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Aral, Atakan

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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Output format
  • html
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