Paper 2019/1309

SaberX4: High-throughput Software Implementationof Saber Key Encapsulation Mechanism

Sujoy Sinha Roy

Abstract

Saber is a module lattice-based CCA-secure key encapsulation mechanism (KEM) which has been shortlisted for the second round of NIST's Post Quantum Cryptography Standardization project. To attain simplicity and efficiency on constrained devices, the Saber algorithm is serial by construction. However, on high-end platforms, such as modern Intel processors with AVX2 instructions, Saber achieves limited speedup using vector processing instructions due to its serial nature. In this paper we overcome the above-mentioned algorithmic bottleneck and propose a high-throughput software implementation of Saber, which we call `SaberX4', targeting modern Intel processors with AVX2 vector processing support. We apply the batching technique at the highest level of the implementation hierarchy and process four Saber KEM operations simultaneously in parallel using the AVX2 vector processing instructions. Our proof-of-concept software implementation of SaberX4 achieves nearly 1.5 times higher throughput at the cost of latency degradation within acceptable margins, compared to the AVX2-optimized non-batched implementation of Saber by its authors. We anticipate that both latency and throughput of SaberX4 will improve in the future with improved computer architectures and more optimization efforts.

Metadata
Available format(s)
PDF
Category
Implementation
Publication info
Published elsewhere. ICCD 2019
Keywords
public-key cryptographypost-quantum cryptographylattice-based cryptographykey encapsulation schemeSaber
Contact author(s)
s sinharoy @ cs bham ac uk
History
2019-11-13: received
Short URL
https://ia.cr/2019/1309
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2019/1309,
      author = {Sujoy Sinha Roy},
      title = {{SaberX4}: High-throughput Software Implementationof Saber Key Encapsulation Mechanism},
      howpublished = {Cryptology {ePrint} Archive, Paper 2019/1309},
      year = {2019},
      url = {https://eprint.iacr.org/2019/1309}
}
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