Paper 2026/2169

Hardware-Adapted SIMD Optimization of AIMer v3 on x86 and Cortex-M55

Seung-Won Lee, Hansung University
Si-Woo Eum, Hansung University
Min-Seo Kim, Hansung University
Su-Been Cho, Hansung University
Hwa-Jeong Seo, Hansung University
Abstract

AIMer v3 replaces AIM2 with AIM3. We test whether SIMD methods developed for AIM2 can accelerate AIM3 while preserving its results. We port the field-arithmetic, affine, party-parallel, and SHAKE methods of the earlier AVX-512 implementation to AIMer v3 and implement the same operations for AVX2. For Cortex-M55 MVE, we use 16-bit polynomial partial products for field multiplication, group corresponding 32-bit words from four parties, and vectorize both affine layers, including the input layer introduced in AIM3. The implementations preserve AIMer v3’s mathematical structure and proof procedures. For all six parameter sets, their outputs match the official known-answer tests and the reference results in differential tests. Relative to the reference on each platform, AVX2 and AVX-512 accelerate signing and verification by 3.14–4.41× and 4.59–6.55×, respectively. Cortex-M55 MVE accelerates the same operations by 1.28–1.91×.

Metadata
Available format(s)
PDF
Category
Implementation
Publication info
Preprint.
Keywords
AIMer v3AIM3AVX-512Cortex-M55MVEBinary-Field Arithmetic
Contact author(s)
dkajdfhd1 @ gmail com
shuraatum @ gmail com
msqoo0212 @ gmail com
chosubin1208 @ gmail com
hwajeong84 @ gmail com
History
2026-09-26: approved
2026-09-23: received
See all versions
Short URL
https://ia.cr/2026/2169
License
No rights reserved
CC0

BibTeX

@misc{cryptoeprint:2026/2169,
      author = {Seung-Won Lee and Si-Woo Eum and Min-Seo Kim and Su-Been Cho and Hwa-Jeong Seo},
      title = {Hardware-Adapted {SIMD} Optimization of {AIMer} v3 on x86 and Cortex-M55},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/2169},
      year = {2026},
      url = {https://eprint.iacr.org/2026/2169}
}
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