This article, written by Google tech experts Jeff Dean and Sanjay Ghemawat, shares their years of accumulated practical experience in performance optimization at Google. The article systematically introduces performance estimation methods, analysis tool usage, API design optimization, algorithm improvements, memory representation optimization, reducing memory allocation, and various other techniques. Through numerous examples, it demonstrates how to apply these principles to actual code. Whether you’re developing high-performance systems, optimizing AI models, or designing chip architectures, these best practices from inside Google can help you write more efficient code. The article particularly emphasizes the necessity of performance optimization in the ‘critical 3%’ scenarios and provides abundant code examples and performance data. It’s an essential technical guide for any developer pursuing code performance.
