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arXiv · 2404.15819

APACHE: A Processing-Near-Memory Architecture for Multi-Scheme Fully Homomorphic Encryption

Lin Ding·Song Bian·Penggao He·Yan Xu·Gang Qu·Jiliang Zhang
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Abstract

Fully Homomorphic Encryption (FHE) is known to be extremely computationally-intensive, application-specific accelerators emerged as a powerful solution to narrow the performance gap. Nonetheless, due to the increasing complexities in FHE schemes per se and multi-scheme FHE algorithm designs in end-to-end privacy-preserving tasks, existing FHE accelerators often face the challenges of low hardware utilization rates and insufficient memory bandwidth. In this work, we present \NAME, a layered near-memory computing hierarchy tailored for multi-scheme FHE acceleration. By closely inspecting the data flow across different FHE schemes, we propose a layered near-memory computing architecture with fine-grained functional unit design to significantly enhance the utilization rates of computational resources and memory bandwidth. The experimental results illustrate that APACHE outperforms state-of-the-art ASIC FHE accelerators by 10.63x to 35.47x over a variety of application benchmarks, e.g., Lola MNIST, HELR, VSP, and HE$^{3}$DB.

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Lin Ding, Song Bian, Penggao He, Yan Xu, Gang Qu, Jiliang Zhang. 2024-04-24. APACHE: A Processing-Near-Memory Architecture for Multi-Scheme Fully Homomorphic Encryption. https://arxiv.org/abs/2404.15819

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