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arXiv · 2505.08162

GDNTT: an Area-Efficient Parallel NTT Accelerator Using Glitch-Driven Near-Memory Computing and Reconfigurable 10T SRAM

Hengyu Ding·Houran Ji·Jia Li·Jinhang Chen·Chin-Wing Sham·Yao Wang
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Abstract

With the rapid advancement of quantum computing technology, post-quantum cryptography (PQC) has emerged as a pivotal direction for next-generation encryption standards. Among these, lattice-based cryptographic schemes rely heavily on the fast Number Theoretic Transform (NTT) over polynomial rings, whose performance directly determines encryption/decryption throughput and energy efficiency. However, existing software-based NTT implementations struggle to meet the real-time performance and low-power requirements of IoT and edge devices. To address this challenge, this paper proposes an area-efficient highly parallel NTT accelerator with glitch-driven near-memory computing (GDNTT). The design integrates a 10T SRAM for data storage, enabling flexible row/column data access and streamlining circuit mapping strategies. Furthermore, a glitch generator is incorporated into the near-memory computing unit, significantly reducing the latency of butterfly operations. Evaluation results show that the proposed NTT accelerator achieves a 1.5~28* improvement in throughput-per-area compared to the state-of-the-art.

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Hengyu Ding, Houran Ji, Jia Li, Jinhang Chen, Chin-Wing Sham, Yao Wang. 2025-05-13. GDNTT: an Area-Efficient Parallel NTT Accelerator Using Glitch-Driven Near-Memory Computing and Reconfigurable 10T SRAM. https://arxiv.org/abs/2505.08162

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