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Computer Science > Emerging Technologies

arXiv:2403.00045 (cs)
[Submitted on 29 Feb 2024]

Title:An All-Optical General-Purpose CPU and Optical Computer
Architecture

Authors:Michael Kissner, Leonardo Del Bino, Felix Pasler, Peter
Caruana, George Ghalanos
Download a PDF of the paper titled An All-Optical General-Purpose CPU
and Optical Computer Architecture, by Michael Kissner and 4 other
authors
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    Abstract:Energy efficiency of electronic digital processors is
    primarily limited by the energy consumption of electronic
    communication and interconnects. The industry is almost
    unanimously pushing towards replacing both long-haul, as well as
    local chip interconnects, using optics to drastically increase
    efficiency. In this paper, we explore what comes after the
    successful migration to optical interconnects, as with this
    inefficiency solved, the main source of energy consumption will
    be electronic digital computing, memory and electro-optical
    conversion. Our approach attempts to address all these issues by
    introducing efficient all-optical digital computing and memory,
    which in turn eliminates the need for electro-optical
    conversions. Here, we demonstrate for the first time a scheme to
    enable general purpose digital data processing in an integrated
    form and present our photonic integrated circuit (PIC)
    implementation. For this demonstration we implemented a URISC
    architecture capable of running any classical piece of software
    all-optically and present a comprehensive architectural framework
    for all-optical computing to go beyond.

Comments:    14 pages, 10 figures
Subjects:    Emerging Technologies (cs.ET); Optics (physics.optics)
ACM classes: C.1.3
Cite as:     arXiv:2403.00045 [cs.ET]
             (or arXiv:2403.00045v1 [cs.ET] for this version)
             https://doi.org/10.48550/arXiv.2403.00045
             Focus to learn more
             arXiv-issued DOI via DataCite

Submission history

From: Leonardo Del Bino [view email]
[v1] Thu, 29 Feb 2024 15:49:25 UTC (2,392 KB)
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