Publication result detail

Genetic Improvement for Approximate Computing

SEKANINA, L.; VAŠÍČEK, Z.

Original Title

Genetic Improvement for Approximate Computing

English Title

Genetic Improvement for Approximate Computing

Type

Paper in proceedings outside WoS and Scopus

Original 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.

English 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.

Authors

SEKANINA, L.; VAŠÍČEK, Z.

Released

20.01.2016

Location

Prague

Book

2nd Workshop on Approximate Computing (WAPCO 2016)

Pages from

1

Pages to

2

Pages count

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"
}

Documents

wapco16gi