C++ Performance & Best Practices
Write high-performance C++ — cache optimization, compiler optimization, benchmarking, and modern C++ best practices.
45 min•By Priygop Team•Last updated: Feb 2026
Performance Optimization
- Cache Locality: Access data sequentially — std::vector (contiguous) is 10-100x faster than std::list (scattered) for iteration due to CPU cache lines
- Compile-Time Computation: constexpr functions compute at compile time — lookup tables, math constants, hash functions. Zero runtime cost
- Small Buffer Optimization (SBO): std::string stores short strings (< 16-24 chars) directly in the object, no heap allocation. Same for std::function
- Reserve & Emplace: vector.reserve(n) avoids reallocations. emplace_back(args) constructs in-place instead of constructing + moving
- Branch Prediction: Keep hot paths in if (likely) branches. Use [[likely]]/[[unlikely]] attributes. Avoid unpredictable branches in tight loops
- Benchmarking: Use Google Benchmark — prevents compiler dead-code elimination, measures nanoseconds accurately, statistical analysis of results
Try It Yourself: Modern C++ Features
Try It Yourself: Modern C++ FeaturesC++
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