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现代编译优化技术研究进展

Research Progress in Modern Compiler Optimization Technique

  • 摘要: 随着计算机体系结构和应用形态的不断演进,编译技术在软件与硬件协同中的作用持续增强,其研究内容和技术路径呈现明显的多样化特征。本文围绕现代编译技术的发展现状,从编译基础设施与中间表示、程序分析与传统优化、后端代码生成、内存系统与数据布局、领域特定编译、自动调优与学习方法和运行时协同等方面,对相关研究进行了系统梳理。在此基础上,本文归纳了各类技术在不同计算平台、方法路径和应用场景下的发展趋势,分析了新型硬件架构、复杂应用需求和数据驱动方法对编译技术演化的影响,并讨论了当前编译研究在可扩展性、方法有效性和系统协同等方面面临的主要挑战,为理解现代编译技术的研究现状和发展方向提供了系统性参考。

     

    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.

     

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