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Titel

A new parameterizable power macro-model for datapath components

 

Publikationsart

Tagungsbeitrag

Alle Autoren

von Cölln (Jochens), Gerd; Kruse, Lars; Schmidt, Eike; Nebel, Wolfgang

 

Zusammenfassung

We propose a novel power macro-model which is based on the Hamming-distance of two consecutive input vectors and additional information on the module structure. The model is parameterizable in terms of input bit-widths and can be applied to a wide variety of datapath components. The good trade-off between estimation accuracy, model complexity and flexibility makes the model attractive for power analysis and optimization tasks on a high level of abstraction. Furthermore, a new approach is presented, that allows to calculate the average Hamming-distance distribution of an input data stream. It will be demon-strated, that the application of Hamming-distance distri-butions, instead of only average values, improves the estimation accuracy for a number of typical DSP-modules and data streams.

 

Erscheinungsdatum

1999

 

Veranstalter der Konferenz

DATE 1999, Design, Automation and Test in Europe Conference and Exhibition. - Los Alamitos, Californien

 

Medien-Upload: Abstract

jochens_date99.pdf

Projekt

  • EURIPIDES
  • PEOPLE
  • POSEIDON
  •  

    OFFIS Autoren