华东师范大学学报（自然科学版） ›› 2026, Vol. 2026 ›› Issue (5): 1-12.doi: 10.3969/j.issn.1000-5641.2026.05.001

• 数据系统与平台 •    下一篇

数据驱动的系统优化: 进展与展望

郭健美1,2,3(), 徐澍1,2,3, 黄波1,2,3,*()   

  1. 1. 华东师范大学 数据科学与工程学院 系统优化实验室, 上海　200062
    2. 上海市大数据管理系统工程研究中心, 上海　200062
    3. 华东师范大学 区块链数据管理教育部工程研究中心, 上海　200062
  • 收稿日期:2026-07-11 接受日期:2026-07-13 出版日期:2026-09-25 发布日期:2026-09-16
  • 通讯作者: 黄波 E-mail:jmguo@dase.ecnu.edu.cn;bhuang@dase.ecnu.edu.cn
  • 作者简介:郭健美, 男, 教授, 博士生导师, 研究方向为数据驱动的系统优化. E-mail: jmguo@dase.ecnu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目 (62272167)

Data-driven system optimization: Progress and prospects

Jianmei GUO1,2,3(), Shu XU1,2,3, Bo HUANG1,2,3,*()   

  1. 1. System Optimization Lab, School of Data Science and Engineering, East China Normal University, Shanghai　200062, China
    2. Shanghai Engineering Research Center on Big Data Management System, Shanghai　200062, China
    3. Engineering Research Center of Blockchain Data Management, Ministry of Education, East China Normal University, Shanghai　200062, China
  • Received:2026-07-11 Accepted:2026-07-13 Online:2026-09-25 Published:2026-09-16
  • Contact: Bo HUANG E-mail:jmguo@dase.ecnu.edu.cn;bhuang@dase.ecnu.edu.cn

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摘要：

后摩尔时代, 算力增长核心驱动力已从半导体工艺微缩转向软硬件全栈协同优化. 我国算力产业国产替代进程中, 面临全栈优化工具链缺失、关键系统软件技术积累不足、存量应用迁移成本高等技术瓶颈. 本文提出了数据驱动的系统优化方法, 力求将性能优化从经验性尝试转变为可量化、可复现的工程方法, 同时, 强调垂直全栈与水平扩展的系统观. 围绕该方法, 介绍了在微体系结构测量、编译优化、二进制翻译等方面的研究进展, 并对未来技术发展方向进行了展望, 为助力国产算力生态自主可控发展提供参考.

关键词: 系统优化, 国产替代, 微体系结构, 编译器, 二进制翻译

Abstract:

In the post-Moore era, the primary driver of computing power growth has shifted from semiconductor process miniaturization to full-stack software-hardware co-optimization. During the domestic substitution of computing power in China, technical bottlenecks exist, including the absence of full-stack optimization toolchains, insufficient technical accumulation of key system software, and high costs for the migration of legacy applications. This paper proposes a method of data-driven system optimization, which strives to transform performance optimization from empirical attempts into a quantitative and reproducible engineering approach, simultaneously emphasizing the system perspective of vertical full-stack and horizontal scaling. Based on the proposed method, this paper introduces the research progress in microarchitecture measurement, compiler optimization and binary translation, and outlines future technological development trends. This work provides valuable references for promoting the independent and controllable development of China’s domestic computing power ecosystem.

Key words: system optimization, domestic substitution, microarchitecture, compiler, binary translation

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