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现代编译优化技术研究进展

王雪莹 李广力 冯晓兵

集成技术2026,Vol.15Issue(5):175-194,20.
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集成技术2026,Vol.15Issue(5):175-194,20.DOI:10.12146/j.issn.2095-3135.20260723001

现代编译优化技术研究进展

Research Progress in Modern Compiler Optimization Technique

王雪莹 1李广力 2冯晓兵2

作者信息

  • 1. 北京邮电大学 计算机学院(国家示范性软件学院) 北京 100876
  • 2. 中国科学院计算技术研究所 北京 100190||中国科学院大学 北京 100049
  • 折叠

摘要

Abstract

As computer architectures and application paradigms continue to evolve,compiler technology plays an increasingly important role in hardware–software co-design.Its research scope and technical approaches have also become more diverse.This paper systematically reviews modern compiler technologies from several perspectives,including compiler infrastructures and intermediate representations,program analysis and classical optimizations,backend code generation,memory systems and data layouts,domain-specific compilation,autotuning and learning-based methods,and runtime coordination.Based on this review,the paper summarizes the development trends of these techniques across different computing platforms,methodological approaches,and application scenarios.It further analyzes how emerging hardware architectures,increasingly complex application requirements,and data-driven methods are shaping the evolution of compiler technology.In addition,the paper discusses major challenges in scalability,optimization effectiveness,and system-level coordination.This study provides a systematic reference for understanding the current research landscape and future directions of modern compiler technology.

关键词

编译优化/中间表示/程序分析/异构计算/自动调优/代码生成

Key words

compiler optimization/intermediate representation/program analysis/heterogeneous computing/auto-tuning/code generation

分类

信息技术与安全科学

引用本文复制引用

王雪莹,李广力,冯晓兵..现代编译优化技术研究进展[J].集成技术,2026,15(5):175-194,20.

基金项目

国家自然科学基金项目(62232015,62302479) (62232015,62302479)

中央高校基本科研业务费专项项目 This work is supported by National Natural Science Foundation of China(62232015,62302479),and Fundamental Research Funds for the Central Universities (62232015,62302479)

集成技术

2095-3135

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