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