Evolution of Processor microcode

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Jackson:2005:TEC,
  title =        "Evolution of Processor microcode",
  author =       "David Jackson",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2005",
  volume =       "9",
  number =       "1",
  pages =        "44--54",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, firmware,
                 microcomputers, microprogramming computer processor,
                 evolutionary computing technique, genetic programming
                 system, machine code, microprogrammed system, processor
                 microcode",
  DOI =          "doi:10.1109/TEVC.2004.837922",
  ISSN =         "1089-778X",
  abstract =     "The control unit of many modern computer processors is
                 implemented using microcode. Because of its low level
                 and high complexity, writing microcode that is not only
                 correct but efficient is extremely challenging. An
                 interesting question is whether evolutionary computing
                 techniques could be used to generate microprograms that
                 are of the necessary quality. To answer this, a genetic
                 programming system has been built that evolves
                 microprograms for an architecture that incorporates
                 many of the features common to real microprogrammed
                 systems. Fitness is assessed via simulated execution to
                 determine whether candidate solutions effect the
                 correct machine state changes. The system has been used
                 to evolve microprograms that emulate a range of machine
                 code instructions, of varying complexity. It has been
                 found that, provided appropriate evolutionary guidance
                 is extracted from operational specifications of those
                 instructions, the approach is largely successful in
                 generating solutions that are both correct and
                 optimal.",
}

Genetic Programming entries for David Jackson

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