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DTSTAMP:20260402T024533Z
LOCATION:3008\, Level 3
DTSTART;TZID=America/Los_Angeles:20250625T143000
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UID:dac_DAC 2025_sess150_RESEARCH860@linklings.com
SUMMARY:ACIM-QMM: Efficient Analog Computing-in-Memory Accelerator for QC-
 MDPC McEliece Cryptosystem
DESCRIPTION:Pingdan Xiao, Zhengmiao Wei, Sichun Du, Wanli Chang, and Hong 
 Qinghui (Hunan University)\n\nQuasi-cyclic moderate density parity-check M
 cEliece (QMM) cryptosystem is designed to mitigate the security threat pos
 ed by quantum computers, and is considered to be a promising candidate for
  post-quantum cryptography (PQC). However, the growing requirement of data
  encryption bring severe challenge for QMM implementation in terms of late
 ncy and hardware overhead. In this work, we firstly propose ACIM-QMM, an a
 nalog computing-in-memory (CIM) accelerator design for QMM cryptosystem. T
 he empowerment of analog circuits and CIM make the design efficiently gene
 rating key and ciphertext encrypting while breaking the performance bottle
 neck of PQC constrained by digital computing paradigm. In the experiment, 
 ACIM-QMM can work in low relative error, and it can achieve 31.4×~288.1× s
 peedup compared with SOTA hardware of QMM cryptosystem. Furthermore, the r
 esults also demonstrate that ACIM-QMM can achieve maximum 3.12× area and 2
 0.32× energy efficiency improvement comparing with other PQC hardware for 
 256-bit security.\n\nTopics: Security\n\nTracks: SEC2: Hardware Security: 
 Primitives & Architecture, Design & Test\n\nSession Chairs: Gang Qu (Unive
 rsity of Maryland) and Qian Wang (Intel Corporation)\n\n
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