• DocumentCode
    2550001
  • Title

    Formal modelling and transformations of processor instruction sets

  • Author

    Mokhov, Andrey ; Sokolov, Danil ; Rykunov, Maxim ; Yakovlev, Alex

  • Author_Institution
    Newcastle Univ., Newcastle upon Tyne, UK
  • fYear
    2011
  • fDate
    11-13 July 2011
  • Firstpage
    51
  • Lastpage
    60
  • Abstract
    Instruction sets of modern processors contain hundreds of instructions defined on a relatively small set of datapath components and distinguished by their codes and the order in which they activate these components. Optimal design of an instruction set for a particular combination of available hardware components and software requirements is crucial for system performance and is a challenging task involving a lot of heuristics and high-level design decisions. The overall design process is significantly complicated by inefficient representation of instructions, which are usually described individually despite the fact that they share a lot of common behavioural patterns. This paper presents a new methodology for compact graph representation of processor instruction sets, which gives the designer a new high-level perspective for reasoning on large sets of instructions without having to look at each of them individually. This opens the way for various transformation and optimisation procedures, which are formally defined and explained on several examples, as well as practically evaluated on an FPGA platform.
  • Keywords
    field programmable gate arrays; high level languages; instruction sets; FPGA platform; compact graph representation; datapath component; formal modelling; high level design decision; optimal design; processor instruction sets; Complexity theory; Hardware; Instruction sets; Mathematical model; Microprocessors; Registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Formal Methods and Models for Codesign (MEMOCODE), 2011 9th IEEE/ACM International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4577-0117-7
  • Electronic_ISBN
    978-1-4577-0118-4
  • Type

    conf

  • DOI
    10.1109/MEMCOD.2011.5970510
  • Filename
    5970510