Artificial evolution in computer aided design: from the optimization of parameters to the creation of assembly programs

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@Article{DBLP:journals/computing/Squillero11,

• author = "Giovanni Squillero",
• title = "Artificial evolution in computer aided design: from the optimization of parameters to the creation of assembly programs",
• journal = "Computing",
• year = "2011",
• volume = "93",
• number = "2-4",
• pages = "103--120",
• month = dec,
• note = "Special Issue on Bio inspired Computing",
• keywords = "genetic algorithms, genetic programming, microGP, Evolutionary computation Microprocessors Post-silicon verification Speed paths",
• timestamp = "Tue, 22 Nov 2011 15:25:10 +0100",
• biburl = "http://dblp.uni-trier.de/rec/bib/journals/computing/Squillero11",
• bibsource = "dblp computer science bibliography, http://dblp.org",
• ISSN = "0010-485X",
• DOI = "doi:10.1007/s00607-011-0157-9",
• size = "18 pages",
• abstract = "Evolutionary computation has been little, but steadily, used in the CAD community during the past 20 years. Nowadays, due to their overwhelming complexity, significant steps in the validation of microprocessors must be performed on silicon, i.e., running experiments on physical devices after tape-out. The scenario created new space for innovative heuristics. This paper shows a methodology based on an evolutionary algorithm that can be used to devise assembly programs suitable for a range of on-silicon activities. The paper describes how to take into account complex hardware characteristics and architectural details. The experimental evaluation performed on two high-end Intel microprocessors demonstrates the potentiality of this line of research.",

}

Genetic Programming entries for Giovanni Squillero

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