mathematics Article Efficient Parallel Implementations of LWE-Based Post-Quantum Cryptosystems on Graphics Processing Units SangWoo An 1 and Seog Chung Seo 2,* 1 Department of Financial Information Security, Kookmin University, Seoul 02707, Korea;
[email protected] 2 Department of Information Security, Cryptology, and Mathematics, Kookmin University, Seoul 02707, Korea * Correspondence:
[email protected]; Tel.: +82-02-910-4742 Received: 13 September 2020; Accepted: 8 October 2020; Published: 14 October 2020 Abstract: With the development of the Internet of Things (IoT) and cloud computing technology, various cryptographic systems have been proposed to protect increasing personal information. Recently, Post-Quantum Cryptography (PQC) algorithms have been proposed to counter quantum algorithms that threaten public key cryptography. To efficiently use PQC in a server environment dealing with large amounts of data, optimization studies are required. In this paper, we present optimization methods for FrodoKEM and NewHope, which are the NIST PQC standardization round 2 competition algorithms in the Graphics Processing Unit (GPU) platform. For each algorithm, we present a part that can perform parallel processing of major operations with a large computational load using the characteristics of the GPU. In the case of FrodoKEM, we introduce parallel optimization techniques for matrix generation operations and matrix arithmetic operations such as addition and multiplication. In the case of NewHope, we present a parallel processing technique for polynomial-based operations. In the encryption process of FrodoKEM, the performance improvements have been confirmed up to 5.2, 5.75, and 6.47 times faster than the CPU implementation in FrodoKEM-640, FrodoKEM-976, and FrodoKEM-1344, respectively.