A Reversible Processor Architecture and Its Reversible Logic Design View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Michael Kirkedal Thomsen , Holger Bock Axelsen , Robert Glück

ABSTRACT

We describe the design of a purely reversible computing architecture, Bob, and its instruction set, BobISA. The special features of the design include a simple, yet expressive, locally-invertible instruction set, and fully reversible control logic and address calculation. We have designed an architecture with an ISA that is expressive enough to serve as the target for a compiler from a high-level structured reversible programming language. All-in-all, this paper demonstrates that the design of a complete reversible computing architecture is possible and can serve as the core of a programmable reversible computing system. More... »

PAGES

30-42

References to SciGraph publications

  • 1982-04. Conservative logic in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2011. A Simple and Efficient Universal Reversible Turing Machine in LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS
  • 2012. SyReC: A Programming Language for Synthesis of Reversible Circuits in SYSTEM SPECIFICATION AND DESIGN LANGUAGES
  • 2011. What Do Reversible Programs Compute? in FOUNDATIONS OF SOFTWARE SCIENCE AND COMPUTATIONAL STRUCTURES
  • 2011. Clean Translation of an Imperative Reversible Programming Language in COMPILER CONSTRUCTION
  • 2001-05-09. A Simple Universal Logic Element and Cellular Automata for Reversible Computing in MACHINES, COMPUTATIONS, AND UNIVERSALITY
  • 2010. Towards a Design Flow for Reversible Logic in NONE
  • 2012. Interfacing Reversible Pass-Transistor CMOS Chips with Conventional Restoring CMOS Circuits in REVERSIBLE COMPUTATION
  • 2007. Reversible Machine Code and Its Abstract Processor Architecture in COMPUTER SCIENCE – THEORY AND APPLICATIONS
  • Book

    TITLE

    Reversible Computation

    ISBN

    978-3-642-29516-4
    978-3-642-29517-1

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-29517-1_3

    DOI

    http://dx.doi.org/10.1007/978-3-642-29517-1_3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1000285532


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