ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads

Modular arithmetic, particularly modular reduction, is widely used in cryptographic applications such as homomorphic encryption (HE) and zero-knowledge proofs (ZKP). High-bit-width operations are crucial for enhancing security; however, they are computationally intensive due to the large number of modular operations required. The lookup-table-based (LUT-based) approach, a “space-for-time” technique, reduces computational load by segmenting the input number into smaller bit groups, pre-computing modular reduction results for each segment, and storing these results in LUTs. While effective, this method incurs significant hardware overhead due to extensive LUT usage. In this paper, we introduce ALLMod, a novel approach that improves the area efficiency of LUT-based largenumber modular reduction by employing hybrid workloads. Inspired by the iterative method, ALLMod splits the bit groups into two distinct workloads, achieving lower area costs without compromising throughput. We first develop a template to facilitate workload splitting and ensure balanced distribution. Then, we conduct design space exploration to evaluate the optimal timing for fusing workload results, enabling us to identify the most efficient design under specific constraints. Extensive evaluations show that ALLMod achieves up to $\lt sup\gt1\lt/sup\gt|.65 \times$ and $3 \times$ improvements in area efficiency over conventional LUT-based methods for bit-widths of 128 and 8,192, respectively.

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Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11132815
Primary Topic
Advanced Data Storage Technologies
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article
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article

ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads

Fangxin Liu, Shoumeng Yan, Haibing Guan, Li Jiang et al.
Advanced Data Storage Technologies
article

ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads

Fangxin Liu, Shoumeng Yan, Haibing Guan, Li Jiang, Haoming Li, Bo Zhang, Mingzhe Zhang, Zongwu Wang
article en

Abstract

Modular arithmetic, particularly modular reduction, is widely used in cryptographic applications such as homomorphic encryption (HE) and zero-knowledge proofs (ZKP). High-bit-width operations are crucial for enhancing security; however, they are computationally intensive due to the large number of modular operations required. The lookup-table-based (LUT-based) approach, a “space-for-time” technique, reduces computational load by segmenting the input number into smaller bit groups, pre-computing modular reduction results for each segment, and storing these results in LUTs. While effective, this method incurs significant hardware overhead due to extensive LUT usage. In this paper, we introduce ALLMod, a novel approach that improves the area efficiency of LUT-based largenumber modular reduction by employing hybrid workloads. Inspired by the iterative method, ALLMod splits the bit groups into two distinct workloads, achieving lower area costs without compromising throughput. We first develop a template to facilitate workload splitting and ensure balanced distribution. Then, we conduct design space exploration to evaluate the optimal timing for fusing workload results, enabling us to identify the most efficient design under specific constraints. Extensive evaluations show that ALLMod achieves up to $\lt sup\gt1\lt/sup\gt|.65 \times$ and $3 \times$ improvements in area efficiency over conventional LUT-based methods for bit-widths of 128 and 8,192, respectively.

Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 72%
Advanced Data Storage Technologies
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ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads — Fangxin Liu, Shoumeng Yan, et al. · (2025) | TGRS Research Map | TGRS