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Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs
Authors
José L. Abellán
Rashmi Agrawal
+7 more
Gilbert Jonatan
Ajay Joshi
David Kaeli
John Kim
Neal Livesay
Evelio Mora
Kaustubh Shivdikar
Publication date
8 March 2023
Publisher
IEEE Computer Society
Abstract
© 2023. This manuscript version is made available under the CC-BY4.0 license http://creativecommons.org/licenses/by /4.0/ This document is the accepted version of a Published Work that appeared in final form in IEEE Micro. To access the final edited and published work see https://doi.org/10.1109/MM.2023.3253052Fully Homomorphic Encryption (FHE) is a rapidly developing technology that enables computation directly on encrypted data, making it a compelling solution for security in cloud-based systems. In addition, modern FHE schemes are believed to be resistant to quantum attacks. Although FHE offers unprecedented potential for security, current implementations suffer from prohibitively high latency. Finite field arithmetic operations, particularly the multiplication of high-degree polynomials, are key computational bottlenecks. The parallel processing capabilities provided by modern Graphical Processing Units (GPUs) make them compelling candidates to target these highly parallelizable workloads. In this article, we discuss methods to accelerate polynomial multiplication with GPUs, with the goal of making FHE practical
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DIGITUM Universidad de Murcia (España)
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Last time updated on 29/08/2023