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Fast normal basis multiplication using general purpose processors

delete2003-11-01
delete24
PRE
AI
A
Arash Reyhani-Masoleh
M
M.A. Hasan
DOI:10.1109/TC.2003.1244936delete
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摘要

摘要

En 中文
For cryptographic applications, normal bases have received considerable attention, especially for hardware implementation. In this article, we consider fast software algorithms for normal basis multiplication over the extended binary field GF(2(m)). We present a vector-level algorithm which essentially eliminates the bit-wise inner products needed in the conventional approach to the normal basis multiplication. We then present another algorithm which significantly reduces the dynamic instruction counts. Both algorithms utilize the full width of the data-path of the general purpose processor on which the software is to be executed. We also consider composite fields and present an algorithm which can provide further speed-ups and an added flexibility toward hardware-software codesign of processors for very large finite fields.
Keyword:
finite field multiplication
normal basis
software algorithms
ECDSA
composite fields

期刊

IEEE Transactions on Computers 封面图
IEEE Transactions on Computers
IF:
3.8
论文数:
5.3K
被引数:
9.8K

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