Result Details

Genetic Improvement for Approximate Computing

SEKANINA, L.; VAŠÍČEK, Z. Genetic Improvement for Approximate Computing. 2nd Workshop on Approximate Computing (WAPCO 2016). Prague: 2016. p. 1-2.
Type
conference paper
Language
English
Authors
Sekanina Lukáš, prof. Ing., Ph.D., DCSY (FIT)
Vašíček Zdeněk, doc. Ing., Ph.D., DCSY (FIT)
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.
URL
Published
2016
Pages
1–2
Proceedings
2nd Workshop on Approximate Computing (WAPCO 2016)
Conference
HiPEAC 2016
Place
Prague
BibTeX 
@inproceedings{BUT168447,
  author="Lukáš {Sekanina} and Zdeněk {Vašíček}",
  title="Genetic Improvement for Approximate Computing",
  booktitle="2nd Workshop on Approximate Computing (WAPCO 2016)",
  year="2016",
  pages="1--2",
  address="Prague",
  url="http://wapco.inf.uth.gr/index.html"
}
Files
Projects
Advanced Methods for Evolutionary Design of Complex Digital Circuits, GACR, Standardní projekty, GA14-04197S, start: 2014-01-01, end: 2016-12-31, completed
Research groups
Evolvable Hardware Research Group (RG EHW)
Departments
Department of Computer Systems (DCSY)
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