Beyond von Neumann in the Computing Continuum: Architectures, Applications, and Future Directions

Dragi Kimovski, Nishant Saurabh, Matthijs Jansen, Atakan Aral, Auday Al-Dulaimy, Andre B. Bondi, Antonino Galletta, Alessandro V. Papadopoulos, Alexandru Iosup, Radu Prodan

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The article discusses 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 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 article 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.

Original languageEnglish
Pages (from-to)6-16
Number of pages11
JournalIEEE Internet Computing
Volume28
Issue number3
Early online date3 Aug 2023
DOIs
Publication statusPublished - May 2024

Keywords

  • Artificial intelligence
  • Computational modeling
  • Computer architecture
  • Distributed databases
  • Internet
  • Neurons
  • Quantum computing

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