GPU Acceleration for FHEW/TFHE Bootstrapping
Abstract: Fully Homomorphic Encryption (FHE) allows computations to be performed directly on encrypted data without decryption. Despite its great theoretical potential, the computational overhead remains a major obstacle for practical applications. To address this challenge, hardware acceleration has emerged as a promising approach, aiming to achieve real-time computation across a wider range of scenarios. In line with this, our research focuses on designing and implementing a Graphic Processing Unit (GPU)-based accelerator for the third generation FHEW/TFHE bootstrapping scheme, which features smaller parameters and bootstrapping keys particularly suitable for GPU architectures compared to the other generations. In summary, our accelerator offers improved efficiency, scalability, and flexibility for extensions, e.g., functional bootstrapping (Liu et al., Asiacrypt 2022), compared to current state-of-the-art solutions. We evaluate our implementation and demonstrate substantial speedup in the.... https://ojs.ub.rub.de/index.php/TCHES/article/view/11931
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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GPU Acceleration for FHEW/TFHE Bootstrapping ; volume:2025 ; number:1 ; year:2024
IACR transactions on cryptographic hardware and embedded systems ; 2025, Heft 1 (2024)
- Urheber
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Xiao, Yu
Liu, Feng-Hao
Ku, Yu-Te
Ho, Ming-Chien
Hsu, Chih-Fan
Chang, Ming-Ching
Hung, Shih-Hao
Chen, Wei-Chao
- DOI
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10.46586/tches.v2025.i1.314-339
- URN
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urn:nbn:de:101:1-2412181756220.692965686508
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:21 MESZ
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Beteiligte
- Xiao, Yu
- Liu, Feng-Hao
- Ku, Yu-Te
- Ho, Ming-Chien
- Hsu, Chih-Fan
- Chang, Ming-Ching
- Hung, Shih-Hao
- Chen, Wei-Chao
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