Fast software exponentiation in GF(2^k)

We present a new algorithm for computing $a^e$ where a in $GF(2^k)$ and e is a positive integer. The proposed algorithm is more suitable for implementation in software, and relies on the Montgomery multiplication in $GF(2^k)$. The speed of the exponentiation algorithm largely depends on the availability of a fast method for multiplying two polynomials of length w defined over GF(2). The theoretical analysis and our experiments indicate that the proposed exponentiation method is at least 6 times faster than the exponentiation method using the standard multiplication when w=8. Furthermore, the availability of a 32-bit GF(2) polynomial multiplication instruction on the underlying processor would make the new exponentiation algorithm up to 37 times faster.

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In  13th Symposium on Computer Arithmetic

Publisher  IEEE Computer Society
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