Abstract
In this paper we present an approach for optimizing the implementation of hardware multipliers in GF(2k). We investigate two different strategies namely the reduction of the complexity of the multiplication methods and the combination of different multiplication methods as a means to reduce the area and/or energy consumption of the hardware multiplier. As a means to explore the design space concerning the segmentation of the operands and the selection of the most appropriate multiplication methods we introduce an algorithm which determines the best combination of the multiplication methods. In order to assess the validity of our approach we have benchmarked it against theoretical results reconstructed from literature and against synthesis results using our inhouse 130 nm technology. The former revealed that our designs are up to 32 per cent smaller than those given in literature, the latter showed that our area prediction is extremely accurate.
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Dyka, Z., Langendoerfer, P., Vater, F. (2012). Combining Multiplication Methods with Optimized Processing Sequence for Polynomial Multiplier in GF(2k). In: Armknecht, F., Lucks, S. (eds) Research in Cryptology. WEWoRC 2011. Lecture Notes in Computer Science, vol 7242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34159-5_10
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DOI: https://doi.org/10.1007/978-3-642-34159-5_10
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