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Approximate Computing

  • AKTUELLES SCHLAGWORT
  • APPROXIMATE COMPUTING
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Informatik-Spektrum Aims and scope

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References

  1. Gupta V, Mohapatra D, Park SP, Raghunathan A, Roy K (2011) IMPACT: imprecise adders for low-power approximate computing. In: Proc. Int. Symp. on Low Power Electronics and Design (ISPLED) IEEE, pp 409–414

  2. Esmaeilzadeh H, Sampson A, Ceze L, Burger D (2015) Neural acceleration for general-purpose approximate programs. Commun ACM 58(1)

  3. Venkataramani S, Roy K, Raghunathan A (2013) Substitute-and-simplify: a unified design paradigm for approximate and quality configurable circuits. In: Proc. Design, Automation and Test in Europe Conf. (DATE), EDA Consortium, pp 1367–1372

  4. Klavik P, Malossi ACI, Bekas C, Curioni A (2014) Changing computing paradigms towards power efficiency. Philos T Roy Soc, 372

  5. Esmaeilzadeh H, Sampson A, Ceze L, Burger D (2012) Architecture support for disciplined approximate programming. In: Proc. Int. Conf. on Architectural Support for Programming Languages and Operating System (ASPLOS), pp 301–312

  6. Nikolopoulos DS, Vandierendonck H, Bellas N, Antonopoulos CD, Lalis S, Karakonstantis G, Burg A, Naumann U (2014) Energy efficiency through significance-based computing. IEEE Comput 47(7):82–85

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Authors and Affiliations

  1. Institut für Informatik, Universität Paderborn, Paderborn, Deutschland

    Christian Plessl & Marco Platzner

  2. Institut für Elektrotechnik und Informationstechnik, Universität Paderborn, Paderborn, Deutschland

    Peter J. Schreier

Authors
  1. Christian Plessl
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  2. Marco Platzner
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  3. Peter J. Schreier
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Correspondence to Christian Plessl.

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Plessl, C., Platzner, M. & Schreier, P. Approximate Computing. Informatik Spektrum 38, 396–399 (2015). https://doi.org/10.1007/s00287-015-0911-z

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  • DOI: https://doi.org/10.1007/s00287-015-0911-z

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