Quality Evaluation Strategies for Approximate Computing in Embedded Systems - Technological Innovation for Smart Systems Access content directly
Conference Papers Year : 2017

Quality Evaluation Strategies for Approximate Computing in Embedded Systems

Olaf Neugebauer
  • Function : Author
  • PersonId : 1022190
Peter Marwedel
  • Function : Author
  • PersonId : 1022191
Roland Kühn
  • Function : Author
  • PersonId : 1022192
Michael Engel
  • Function : Author
  • PersonId : 1022193

Abstract

The quest for increased performance at lower energy consumption rates, especially in embedded systems used in smart systems, has reached physical limits that can no longer be exploited using traditional optimization techniques. One popular way to achieve additional gains is to intentionally perform inaccurate computations. Our framework eases evaluation, analysis and comparison of approximation techniques in terms of energy consumption, run time, quality and user-defined criteria. Applied to a set of benchmarks, we obtain valuable insights into related side effects, including increased file sizes indicating that a careless utilization of approximate computing threatens its usefulness.
Fichier principal
Vignette du fichier
448071_1_En_19_Chapter.pdf (533.22 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01629559 , version 1 (06-11-2017)

Licence

Attribution

Identifiers

Cite

Olaf Neugebauer, Peter Marwedel, Roland Kühn, Michael Engel. Quality Evaluation Strategies for Approximate Computing in Embedded Systems. 8th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2017, Costa de Caparica, Portugal. pp.203-210, ⟨10.1007/978-3-319-56077-9_19⟩. ⟨hal-01629559⟩
178 View
63 Download

Altmetric

Share

Gmail Facebook X LinkedIn More