Even faster calculation of pairings on ARM processors
There's an interesting paper ("Efficient Implementation of Bilinear Pairings on ARM Procesors") on the IACR's eprint preprint server that talks about a new record for calculating pairings. Here's the paper's abstract:
As hardware capabilities increase, low-power devices such as smartphones represent a natural environment for the efficient implementation of cryptographic pairings. Few works in the literature have considered such platforms despite their growing importance in a post-PC world. In this paper, we investigate the efficient computation of the Optimal-Ate pairing over Barreto-Naehrig curves in software at different security levels on ARM processors. We exploit state-of-the-art techniques and propose new optimizations to speed up the computation in the tower field and curve arithmetic. In particular, we extend the concept of lazy reduction to inversion in extension fields, analyze an efficient alternative for the sparse multiplication used inside the Miller's algorithm and reduce further the cost of point/line evaluation formulas in affine and projective homogeneous coordinates. In addition, we study the efficiency of using M-type sextic twists in the pairing computation and carry out a detailed comparison between affine and projective coordinate systems. Our implementations on various mass-market smartphones and tablets significantly improve the state-of-the-art of pairing computation on ARM-powered devices, outperforming by at least a factor of 3.7 the best previous results in the literature.
That certainly sounds interesting, but I'd find it even more interesting is this paper had performance results at the security levels that are commonly used in the real world. Instead, it only talks about fields with sizes from 254 to 638 bits, while 2,048 bits are really what's required by essentially all relevent regulatory environments today. Many academics seem fairly out of touch with that particular aspect of the commercial cryptography market, but it's one that they should probably embrace if they want to make their work sound more relevant.