Nanosystems, edge computing, and the next generation computing systems

Ali Passian, Neena Imam

Research output: Contribution to journalReview articlepeer-review

38 Scopus citations

Abstract

It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components and processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.

Original languageEnglish
Article number4048
JournalSensors (Switzerland)
Volume19
Issue number18
DOIs
StatePublished - Sep 2 2019

Funding

This work was supported by the United States Department of Defense (DoD) and used resources of the Computational Research and Development Programs at Oak Ridge National Laboratory (ORNL). ORNL is managed by UT-Battelle, LLC, for the US DOE under contract DE-AC05- 00OR22725.

FundersFunder number
U.S. Department of Defense
U.S. Department of EnergyDE-AC05- 00OR22725
Oak Ridge National Laboratory

    Keywords

    • Carbon nanotubes
    • Edge computing
    • Information technology
    • Nanoscience
    • Neuromorphic computing
    • Photonics
    • Plasmonics
    • Processors
    • Quantum computing
    • The internet-of-things

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