Abstract
Hamming and signal distance are common model variables for characterising register-transfer level components for power. In order to use power estimation models based on this characterisation it is necessary to know exact input-stimuli for a circuit in order to propagate it through the datapath and calculate the Hamming and signal distances at each node.
In this work a new propagation approach for Hamming and signal distances is presented. It is based on precharacterised components for Hamming and signal distances. Using this approach it is not necessary to know the exact input data of a circuit, only statistical information of the input-stream is needed. The errors of the estimated Hamming and signal distance properties are in the range of 5% to 14% The result of an estimation is available nearly instantaneously since look-up tables are used for implementation.
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Reimer, A., Kosmann, L., Lorenz, D., Nebel, W. (2013). Fast Propagation of Hamming and Signal Distances for Register-Transfer Level Datapaths. In: Ayala, J.L., Shang, D., Yakovlev, A. (eds) Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation. PATMOS 2012. Lecture Notes in Computer Science, vol 7606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36157-9_7
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DOI: https://doi.org/10.1007/978-3-642-36157-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36156-2
Online ISBN: 978-3-642-36157-9
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