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A new parameterizable power macro-model for datapath components

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4 Author(s)
Jochens, G. ; OFFIS Res. Inst., Oldenburg, Denmark ; Kruse, L. ; Schmidt, E. ; Nebel, W.

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 one to calculate the average Hamming-distance distribution of an input data stream. It is demonstrated, that the application of Hamming-distance distributions, instead of only average values, improves the estimation accuracy for a number of typical DSP-modules and data streams.

Published in:

Design, Automation and Test in Europe Conference and Exhibition 1999. Proceedings

Date of Conference:

9-12 March 1999