A 22-nm 1,287-MOPS/W Structured Data-Path Array for Binary Ring-LWE PQC

A 0.0131-\mathrm{mm}^{2} structured data-path array for binary Ring-LWE (BRLWE) post-quantum cryptography (PQC) is fabricated in 22-nm CMOS with an energy efficiency of 1,287 MOPS/W at 0.45 \mathrm{~V} and throughput of 6.92 MOPS at 0.8 \mathrm{~V}. The proposed digital compute-in-memory (DCIM) arch...

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Bibliographic Details
Published inESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC) pp. 189 - 192
Main Authors Zhang, Shutao, Gemmeke, Tobias
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.09.2023
Subjects
binary Ring-LWE
cache attack
Computer architecture
Convolution
digital compute-in-memory
Energy efficiency
Information leakage
IoT
lattice-based cryptography
PQC
Solid state circuits
Throughput
Timing
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Summary:A 0.0131-\mathrm{mm}^{2} structured data-path array for binary Ring-LWE (BRLWE) post-quantum cryptography (PQC) is fabricated in 22-nm CMOS with an energy efficiency of 1,287 MOPS/W at 0.45 \mathrm{~V} and throughput of 6.92 MOPS at 0.8 \mathrm{~V}. The proposed digital compute-in-memory (DCIM) architecture maximizes the data locality, introduces a novel ternary multiplication method that halves the arithmetic complexity, and optimizes the negative wrapped convolution scheme resulting in a structured dataflow of 23 \% smaller area, 2.6X higher throughput and 2X better energy efficiency than SotA. Furthermore, the proposed DCIM architecture significantly reduces the information leakage of cache and timing channels by statically storing the key words in memory.
ISSN:2643-1319
DOI:10.1109/ESSCIRC59616.2023.10268781