Approximate Systems (Dagstuhl Seminar 21302)

Authors Eva Darulova, Babak Falsafi, Andreas Gerstlauer, Phillip Stanley-Marbell and all authors of the abstracts in this report



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Author Details

Eva Darulova
  • MPI-SWS - Kaiserslautern, DE
Babak Falsafi
  • EPFL - Lausanne, CH
Andreas Gerstlauer
  • University of Texas at Austin, US
Phillip Stanley-Marbell
  • University of Cambridge, GB
and all authors of the abstracts in this report

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Eva Darulova, Babak Falsafi, Andreas Gerstlauer, and Phillip Stanley-Marbell. Approximate Systems (Dagstuhl Seminar 21302). In Dagstuhl Reports, Volume 11, Issue 6, pp. 147-163, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/DagRep.11.6.147

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.

Subject Classification

ACM Subject Classification
  • Hardware → Analysis and design of emerging devices and systems
  • Computer systems organization → Architectures
  • Computer systems organization → Embedded and cyber-physical systems
  • Software and its engineering → Software notations and tools
Keywords
  • approximate computing
  • energy-efficient computing
  • pareto optimization

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