Acceleration of Homomorphic Unrolled Trace-Type Function using AVX512 instructions

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

More and more data analysis is being outsourced due to the spread of cloud computing. Therefore, protection of the data from privacy violations and information leaks is required. In particular, homomorphic encryption, which allows computation to be performed with encrypted data, is being actively studied as one of the protection method. Ring learning with errors based homomorphic encryption schemes support packing which allows to pack several elements into slots of a plaintext and ciphertext. A trace-type function, which combines shifting slots (rotation) and homomorphic addition to obtain summation of slots, is often used in homomorphic encryption applications and acceleration of the trace-type function is important. In this paper, we further accelerate the trace-type function using Intel AVX512 compared to existing optimized trace-type function with loop unrolling. The results show that our AVX512 version was 1.05-2.30 times speedup compared to the non-AVX512 version.

本文言語English
ホスト出版物のタイトルWAHC 2022 - Proceedings of the 10th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, co-located with CCS 2022
出版社Association for Computing Machinery, Inc
ページ47-52
ページ数6
ISBN(電子版)9781450398770
DOI
出版ステータスPublished - 2022 11月 7
イベント10th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2022 - Co-located with CCS 2022 - Los Angeles, United States
継続期間: 2022 11月 7 → …

出版物シリーズ

名前WAHC 2022 - Proceedings of the 10th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, co-located with CCS 2022

Conference

Conference10th Workshop on Encrypted Computing and Applied Homomorphic Cryptography, WAHC 2022 - Co-located with CCS 2022
国/地域United States
CityLos Angeles
Period22/11/7 → …

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ソフトウェア

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