Publication Details

Genetic Improvement for Approximate Computing

SEKANINA Lukáš and VAŠÍČEK Zdeněk. Genetic Improvement for Approximate Computing. In: 2nd Workshop on Approximate Computing (WAPCO 2016). Prague, 2016, pp. 1-2. Available from: http://wapco.inf.uth.gr/index.html
Type
conference paper
Language
english
Authors
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT)
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT)
URL
Abstract
This position paper connects the Genetic Improvement (GI) method, recently established in the search-based software engineering community, with approximate computing, in order to obtain improvements in the cases when errors in computations can be tolerated.  It is argued that Genetic Improvement which shares  many objectives with the approximate computing can be adopted to solve typical problems in the area of approximate computing.
Published
2016
Pages
1-2
Proceedings
2nd Workshop on Approximate Computing (WAPCO 2016)
Conference
HiPEAC 2016, Praha, CZ
Place
Prague
BibTeX 
@INPROCEEDINGS{FITPUB11015,
   author = "Luk\'{a}\v{s} Sekanina and Zden\v{e}k Va\v{s}\'{i}\v{c}ek",
   title = "Genetic Improvement for Approximate Computing",
   pages = "1--2",
   booktitle = "2nd Workshop on Approximate Computing (WAPCO 2016)",
   year = 2016,
   location = "Prague, ",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11015"
}
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