Detail publikace

Genetic Improvement for Approximate Computing

SEKANINA, L. VAŠÍČEK, Z.

Originální název

Genetic Improvement for Approximate Computing

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Autoři

SEKANINA, L.; VAŠÍČEK, Z.

Vydáno

20. 1. 2016

Místo

Prague

Strany od

1

Strany do

2

Strany počet

2

URL

http://wapco.inf.uth.gr/index.html

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"
}

Dokumenty

wapco16gi.pdf