License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.11.6.147
URN: urn:nbn:de:0030-drops-155836
URL: https://drops.dagstuhl.de/opus/volltexte/2021/15583/
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Darulova, Eva ; Falsafi, Babak ; Gerstlauer, Andreas ; Stanley-Marbell, Phillip
Weitere Beteiligte (Hrsg. etc.): Eva Darulova and Babak Falsafi and Andreas Gerstlauer and Phillip Stanley-Marbell

Approximate Systems (Dagstuhl Seminar 21302)

pdf-format:
dagrep_v011_i006_p147_21302.pdf (2 MB)


Abstract

This report summarizes the presentations and discussion sessions at the Dagstuhl Seminar 21302 "Approximate Systems" that took place during July 25 - 30, 2021. Due to COVID, the seminar was held in a hybrid fashion, with around 1/3 of the attendees on-site and the remaining ones online. The seminar discussed advances and open challenges in applying approximate computing techniques across the stack and across different application domains, and we hope that this report can provide a useful resource also for other researchers.

BibTeX - Entry

@Article{darulova_et_al:DagRep.11.6.147,
  author =	{Darulova, Eva and Falsafi, Babak and Gerstlauer, Andreas and Stanley-Marbell, Phillip},
  title =	{{Approximate Systems (Dagstuhl Seminar 21302)}},
  pages =	{147--163},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2021},
  volume =	{11},
  number =	{6},
  editor =	{Darulova, Eva and Falsafi, Babak and Gerstlauer, Andreas and Stanley-Marbell, Phillip},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/15583},
  URN =		{urn:nbn:de:0030-drops-155836},
  doi =		{10.4230/DagRep.11.6.147},
  annote =	{Keywords: approximate computing, energy-efficient computing, pareto optimization}
}

Keywords: approximate computing, energy-efficient computing, pareto optimization
Collection: DagRep, Volume 11, Issue 6
Issue Date: 2021
Date of publication: 01.12.2021


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