Amortised Optimisation of Non-functional Properties in Production Environments

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Yoo:2015:SSBSE,

• author = "Shin Yoo",
• title = "Amortised Optimisation of Non-functional Properties in Production Environments",
• booktitle = "SSBSE",
• year = "2015",
• editor = "Yvan Labiche and Marcio Barros",
• volume = "9275",
• series = "LNCS",
• pages = "31--46",
• address = "Bergamo, Italy",
• month = sep # " 5-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE",
• isbn13 = "978-3-319-22182-3",
• URL = "http://hdl.handle.net/10203/224142",
• DOI = "doi:10.1007/978-3-319-22183-0_3",
• size = "16 pages",
• abstract = "Search Based Software Engineering has high potential for optimising non-functional properties such as execution time or power consumption. However, many non-functional properties are dependent not only on the software system under consideration but also the environment that surrounds the system. This necessitates a support for online, in situ optimisation. This paper introduces the novel concept of amortised optimisation which allows such online optimisation. The paper also presents two case studies: one that seeks to optimise JIT compilation, and another to optimise a hardware dependent algorithm. The results show that, by using the open source libraries we provide, developers can improve the speed of their Python script by up to 8.6percent with virtually no extra effort, and adapt a hardware dependent algorithm automatically for unseen CPUs.",
• notes = "Slides http://ssbse.info/2015/wp-content/uploads/Slides_Amortised_Optimisation_of_Non-Functional_Property_in_Production_Environment.pdf

  pypy Raspberrty Pi, ARM 250MHz

  Code Available https://bitbucket.org/ntrolls/piacin https://bitbucket.org/ntrolls/niacin

  http://ssbse.info/2015",

}

Genetic Programming entries for Shin Yoo

Citations