Paper 2012/067 Original: eprint.iacr.org/2012/067 ↗

Parallelizing message schedules to accelerate the computations of hash functions

Shay Gueron
Vlad Krasnov
Abstract

This paper describes an algorithm for accelerating the computations of Davies-Meyer based hash functions. It is based on parallelizing the computation of several message schedules for several message blocks of a given message. This parallelization, together with the proper use of vector processor instructions (SIMD) improves the overall algorithm’s performance. Using this method, we obtain a new software implementation of SHA-256 that performs at 12.11 Cycles/Byte on the 2nd and 10.84 Cycles/Byte on the 3rd Generation Intel® Core™ processors. We also show how to extend the method to the soon-to-come AVX2 architecture, which has wider registers. Since processors with AVX2 will be available only in 2013, exact performance reporting is not yet possible. Instead, we show that our resulting SHA-256 and SHA-512 implementations have a reduced number of instructions. Based on our findings, we make some observations on the SHA3 competition. We argue that if the prospective SHA3 standard is expected to be competitive against the performance of SHA-256 or SHA-512, on the high end platforms, then its performance should be well below 10 Cycles/Byte on the current, and certainly on the near future processors. Not all the SHA3 finalists have this performance. Furthermore, even the fastest finalists will probably offer only a small performance advantage over the current SHA-256 and SHA-512 implementations.

Metadata
Available format(s)
PDF
Publication info
Preprint.
History
2012-06-05: last updated
2012-02-23: published
Short URL
https://ia.cr/2012/067
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2012/067,
      author = {Shay Gueron and Vlad Krasnov},
      title = {Parallelizing message schedules to accelerate the computations of hash functions},
      howpublished = {Cryptology {ePrint} Archive, Paper 2012/067},
      year = {2012},
      url = {https://eprint.iacr.org/2012/067}
}
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