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基于musl libc库的RVV优化
(1.中科南京软件技术研究院 智能软件研究中心, 南京 211100;2.中国科学院 软件研究所, 北京 100190)
RVV Optimization Based on musl libc Library
(1.Intelligent Software Research Center, Nanjing Institute of Software Technology, Nanjing 211100, China;2.Institute of Software, Chinese Academy of Sciences, Beijing 100190, China)
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Received:May 26, 2023    Revised:June 27, 2023
中文摘要: musl libc是一个轻量级的标准C库, 其代码库小巧, 提供了全面的POSIX接口支持, 具有高度可移植性并支持多种架构和操作系统, 被广泛用于嵌入式系统、网络服务器、容器等领域. RISC-V指令集作为一种开源的指令集, 目前发布了相对稳定的SIMD指令集, RISC-V生态软件环境也迎来了新的优化热潮, 但是对于musl libc库RVV扩展优化还是一片空白. 本文立足于musl libc基础库和RISC-V RVV扩展指令集的协同研究点, 提出了兼容基础指令集和向量扩展指令集的实现方案, 利用向量扩展指令集优化了常见的C库函数strlen和memset, 并在gem5模拟器上进行了对比分析, 实验结果表明, 相较于C语言实现, 在性能方面, 利用RVV优化的strlen函数平均提升83%–703%, memset函数平均提升85%–334%.
中文关键词: musl libc  RISC-V  基础指令集  RVV扩展优化
Abstract:As a lightweight standard C library, musl libc features a small code base providing comprehensive POSIX interface support, and high portability and support for various architectures and operating systems. It is widely employed in embedded systems, Web servers, containers, and other fields. RISC-V instruction set is an open source instruction set that has released the relatively stable SIMD instruction set at present. Meanwhile, the RISC-V ecological software environment has ushered in a new optimization boom, but the RVV extension optimization of the musl libc library is still a research gap. Based on the collaborative research of the musl libc basic library and RISC-V RVV extended instruction set, this study proposes an implementation scheme compatible with the basic instruction set and vector extended instruction set. The common C library functions strlen and memset are optimized by the vector extended instruction set, and comparative analysis is carried out on gem5 simulator. The experimental results show that compared with the implementation of C language, the performance of strlen function optimized by RVV is improved by 83%–703% on average, and that of memset function is improved by 85%–334% on average.
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张飞,于佳耕,邢明杰,武延军.基于musl libc库的RVV优化.计算机系统应用,2023,32(11):29-35
ZHANG Fei,YU Jia-Geng,XING Ming-Jie,WU Yan-Jun.RVV Optimization Based on musl libc Library.COMPUTER SYSTEMS APPLICATIONS,2023,32(11):29-35