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A method for efficient parallel computation of Tate pairing

Authors: Zhitu Su; Chunhui Sun; Hui Li 0006; Jianfeng Ma 0001;

A method for efficient parallel computation of Tate pairing

Abstract

The calculation of pairing plays a key role in pairing-based cryptography. Usually, the calculation is based on Miller's algorithm. However, most of the optimisations of Miller's algorithm are of serial structure. In this paper, we propose a method to parallel compute Tate pairing efficiently. We split the divisor in Miller's algorithm into three parts. Then we use efficiently computation endomorphism and precomputation method to reduce computational cost. Compared with general version of Miller's algorithm in serial structure, our method has a gain of around 50.0%.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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