Seesaw: A 4096-bit vector processor for accelerating Kyber based on RISC-V ISA extensions

IF 2 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS Parallel Computing Pub Date : 2024-11-08 DOI:10.1016/j.parco.2024.103121
Xiaofeng Zou , Yuanxi Peng , Tuo Li , Lingjun Kong , Lu Zhang
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Abstract

The ML-KEM standard based on Kyber algorithm is one of the post-quantum cryptography (PQC) standards released by the National Institute of Standards and Technology (NIST) to withstand quantum attacks. To increase throughput and reduce the execution time that is limited by the high computational complexity of the Kyber algorithm, an RISC-V-based processor Seesaw is designed to accelerate the Kyber algorithm. The 32 specialized extension instructions are mainly designed to enhance the parallel computing ability of the processor and accelerate all the processes of the Kyber algorithm by thoroughly analyzing its characteristics. Subsequently, by carefully designing hardware such as poly vector registers and algorithm execution units on the RISC-V processor, the support of microarchitecture for extension instructions was achieved. Seesaw supports 4096-bit vector calculations through its poly vector registers and execution unit to meet high-throughput requirements and is implemented on the field-programmable gate array (FPGA). In addition, we modify the compiler simultaneously to adapt to the instruction extension and execution of Seesaw. Experimental results indicate that the processor achieves a speed-up of 432× and 18864× for hash and NTT, respectively, compared with that without extension instructions and a speed-up of 5.6× for the execution of the Kyber algorithm compared with the advanced hardware design.
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Seesaw:基于 RISC-V ISA 扩展的用于加速 Kyber 的 4096 位矢量处理器
基于 Kyber 算法的 ML-KEM 标准是美国国家标准与技术研究院(NIST)为抵御量子攻击而发布的后量子加密(PQC)标准之一。为了提高吞吐量并减少受 Kyber 算法高计算复杂性限制的执行时间,设计了一种基于 RISC-V 的处理器 Seesaw 来加速 Kyber 算法。通过深入分析 Kyber 算法的特点,设计了 32 条专门的扩展指令,主要用于增强处理器的并行计算能力,加速 Kyber 算法的所有进程。随后,通过在 RISC-V 处理器上精心设计多向量寄存器和算法执行单元等硬件,实现了微体系结构对扩展指令的支持。Seesaw 通过多向量寄存器和执行单元支持 4096 位向量计算,以满足高吞吐量要求,并在现场可编程门阵列(FPGA)上实现。此外,我们还同时修改了编译器,以适应 Seesaw 的指令扩展和执行。实验结果表明,与没有扩展指令的处理器相比,该处理器在哈希和 NTT 方面的速度分别提高了 432 倍和 18864 倍;与先进的硬件设计相比,Kyber 算法的执行速度提高了 5.6 倍。
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来源期刊
Parallel Computing
Parallel Computing 工程技术-计算机:理论方法
CiteScore
3.50
自引率
7.10%
发文量
49
审稿时长
4.5 months
期刊介绍: Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems. Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results. Particular technical areas of interest include, but are not limited to: -System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing). -Enabling software including debuggers, performance tools, and system and numeric libraries. -General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems -Software engineering and productivity as it relates to parallel computing -Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism -Performance measurement results on state-of-the-art systems -Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures. -Parallel I/O systems both hardware and software -Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applications
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