Prof. Ing. Lukáš Sekanina, Ph.D.

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
Publication language:english
Original title:Genetic Improvement for Approximate Computing
Pages:1-2
Proceedings:2nd Workshop on Approximate Computing (WAPCO 2016)
Conference:HiPEAC 2016
Place:Prague
Year:2016
URL:http://wapco.inf.uth.gr/index.html
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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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=11015}
}

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